Find Your Perfect Job

Job Search Results for ai

Sort and Filter  | 132 Results for ai  | Save This Search

Jan 27, 2026

Woonsocket, RI

|

Project Manager

|

Contract-to-perm

|

$50 - $62 (hourly estimate)

{"JobID":487374,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-71.5015,"Longitude":42.0016,"Distance":null},"State":"Rhode Island","Zip":"02895","ReferenceID":"PHX-7d4b1754-2886-463c-bc56-10b5cc7cac73","PostedDate":"\/Date(1769543423000)\/","Description":"We are seeking highly experienced, transformative Scrum Masters who can immediately step in and lead multiple Agile teams without a transition period. We have recently migrated from Azure DevOps to Jira, so candidates must be fully proficient in Jira from day one and capable of guiding teams through this change.The ideal candidate has a strong background supporting automation-focused work? including RPA, AI, agentic workflows, and web application development?and can play a key role in accelerating our Agile transformation.Team Leadership \u0026 Delivery?Lead 4+ Scrum teams to ensure consistent, predictable delivery?Facilitate all Scrum ceremonies (stand-ups, planning, refinement, reviews/demos, retros)?Remove impediments and keep teams aligned to commitmentsCoaching \u0026 Agile Enablement?Coach teams on Agile mindset, Scrum principles, and iterative delivery?Reinforce strong story definition, acceptance criteria, estimation, and continuous improvement?Drive the transition from waterfall to true Agile practicesJira Expertise \u0026 Adoption?Train teams on Jira workflows, dashboards, and processes?Standardize templates and definitions of done?Partner with leadership to improve Jira governance and reportingPlanning \u0026 Forecasting?Manage backlogs and prioritization with Product Owners?Support sprint planning and quarterly forecasting?Maintain healthy, well groomed backlogsRisk Management \u0026 Communication?Escalate risks, blockers, and delivery concerns early?Provide clear, timely updates to leadership?Promote transparency and cross team communicationWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Scrum Master - RPA / AI","City":"Woonsocket","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?8+ years of experience serving as a dedicated Scrum Master ?Proven experience supporting 4+ Scrum teams simultaneously ?Expert-level Jira proficiency, including workflows, boards, reporting, and coaching teams post-migration ?Hands-on experience with automation-related specifically with RPA and Agentic AI?Strong background in software development environments, including web application delivery ?Demonstrated success driving organizational transformation from waterfall to Agile ?Ability to quickly assess team needs, identify impediments, and remove blockers ?Strong coaching, facilitation, conflict-resolution, and communication skills ?Experience leading cross-functional teams through change and continuous improvement ?Deep understanding of Agile principles, Scrum framework, and iterative delivery","Skills":"","Industry":"Project Manager","Country":"US","Division":"IT","Office":null,"IsRemoteJob":true,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":62.0000,"SalaryLow":49.6000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We are seeking highly experienced, transformative Scrum Masters who can immediately step in and lead multiple Agile teams without a transition period. We have recently migrated from Azure DevOps to... Jira, so candidates must be fully proficient in Jira from day one and capable of guiding teams through this change.The ideal candidate has a strong background supporting automation-focused work? including RPA, AI, agentic workflows, and web application development?and can play a key role in accelerating our Agile transformation.Team Leadership & Delivery?Lead 4+ Scrum teams to ensure consistent, predictable delivery?Facilitate all Scrum ceremonies (stand-ups, planning, refinement, reviews/demos, retros)?Remove impediments and keep teams aligned to commitmentsCoaching & Agile Enablement?Coach teams on Agile mindset, Scrum principles, and iterative delivery?Reinforce strong story definition, acceptance criteria, estimation, and continuous improvement?Drive the transition from waterfall to true Agile practicesJira Expertise & Adoption?Train teams on Jira workflows, dashboards, and processes?Standardize templates and definitions of done?Partner with leadership to improve Jira governance and reportingPlanning & Forecasting?Manage backlogs and prioritization with Product Owners?Support sprint planning and quarterly forecasting?Maintain healthy, well groomed backlogsRisk Management & Communication?Escalate risks, blockers, and delivery concerns early?Provide clear, timely updates to leadership?Promote transparency and cross team communicationWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jan 26, 2026

Colorado Springs, CO

|

Engineering (Non IT)

|

Contract

|

$62 - $77 (hourly estimate)

{"JobID":486975,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-104.76,"Longitude":38.86,"Distance":null},"State":"Colorado","Zip":"80907","ReferenceID":"PXS-2c463456-97ee-4d29-ac29-a5bb45f1b4d5","PostedDate":"\/Date(1769470591000)\/","Description":"Insight Global is looking for a key Engineer to join their Growth Insights team. In this role you will apply advanced analytics, Business Intelligence, and Generative AI techniques to uncover insights and drive data-informed growth strategies. You will work cross-functionally with product, sales, marketing, and strategy teams to support enterprise-wide growth initiatives, reporting to a senior leader within the Data \u0026 Analytics organization.Responsibilities:?Analyze Growth Opportunities: Collaborate with business stakeholders to explore complex growth challenges using data analytics, predictive modeling, and Gen AI tools to generate actionable insights.?Develop AI-Enhanced Dashboards: Build and maintain dynamic, Gen AI-powered dashboards and reporting tools that provide foresight and prescriptive recommendations to business teams.?Support ML Model Deployment: Assist in the implementation and monitoring of machine learning models for use cases such as sales recommendations, churn prediction, and financial forecasting.?Enable Agentic AI Solutions: Contribute to the development and testing of Agentic AI workflows that automate growth-related tasks across platforms like Salesforce, Hubspot, Eloqua, and Oracle Cloud.?Collaborate on Data Infrastructure: Work with Data Engineering to ensure data pipelines and architecture support scalable, AI-native analytics solutions.?Promote Data Literacy: Help maintain the enterprise data catalog and support internal data literacy initiatives by enabling self-service analytics and sharing best practices.?Deliver Executive Insights: Prepare data visualizations and summaries that support strategic decision-making by senior leadership, including the Chief Data \u0026 Analytics Officer.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"REMOTE Growth Insights(Finance) AI/ML Engineer","City":"Colorado Springs","ExpirationDate":null,"PriorityOrder":0,"Requirements":"- Bachelor?s or Master?s degree in a STEM field (Computer Science, Engineering, Statistics, Mathematics)- 7+ years of experience in Data Analytics, Business Intelligence, or Data Science with Financial forecasting/FP\u0026A objectives- Strong experience with Monte Carlo simulations for risk assessment, forecasting, and/or valuation- Experience with time series forecasting models including ARIMA, Prophet, and LSTM - Proficient in Python or R, and SQL queries- Highly experienced with BI tools such as Power BI and Tableau (to help turn data into business insights)- Familiarity with Generative AI and Machine Learning concepts and tools- Strong communications skills and affinity for data storytelling and data storyboards","Skills":"","Industry":"Engineering (Non IT)","Country":"US","Division":"AF\u0026E","Office":null,"IsRemoteJob":true,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":77.0000,"SalaryLow":61.6000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is looking for a key Engineer to join their Growth Insights team. In this role you will apply advanced analytics, Business Intelligence, and Generative AI techniques to uncover... insights and drive data-informed growth strategies. You will work cross-functionally with product, sales, marketing, and strategy teams to support enterprise-wide growth initiatives, reporting to a senior leader within the Data & Analytics organization.Responsibilities:?Analyze Growth Opportunities: Collaborate with business stakeholders to explore complex growth challenges using data analytics, predictive modeling, and Gen AI tools to generate actionable insights.?Develop AI-Enhanced Dashboards: Build and maintain dynamic, Gen AI-powered dashboards and reporting tools that provide foresight and prescriptive recommendations to business teams.?Support ML Model Deployment: Assist in the implementation and monitoring of machine learning models for use cases such as sales recommendations, churn prediction, and financial forecasting.?Enable Agentic AI Solutions: Contribute to the development and testing of Agentic AI workflows that automate growth-related tasks across platforms like Salesforce, Hubspot, Eloqua, and Oracle Cloud.?Collaborate on Data Infrastructure: Work with Data Engineering to ensure data pipelines and architecture support scalable, AI-native analytics solutions.?Promote Data Literacy: Help maintain the enterprise data catalog and support internal data literacy initiatives by enabling self-service analytics and sharing best practices.?Deliver Executive Insights: Prepare data visualizations and summaries that support strategic decision-making by senior leadership, including the Chief Data & Analytics Officer.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jan 15, 2026

Beachwood, OH

|

Software Engineering

|

Contract-to-perm

|

$54 - $68 (hourly estimate)

{"JobID":483154,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-81.5,"Longitude":41.47,"Distance":null},"State":"Ohio","Zip":"44122","ReferenceID":"CLV-4ee9edce-e3bf-4fe4-a0d4-4a6697718d75","PostedDate":"\/Date(1768499273000)\/","Description":"Seeking a Senior Data Scientist with hands-on experience in GenAI agent development and modern AI engineering. The focus is on building production-grade agents, MCP integrations, and enterprise knowledge systems using cloud and data stack.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Senior Data Scientist / AI Engineer","City":"Beachwood","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Responsibilities:Build and refine GenAI agents that interact with internal systemsDevelop MCP tools and secure integrationsCreate and maintain knowledge bases and retrieval pipelinesImplement agent evaluation frameworks and guardrailsWork across Azure, Snowflake, and Databricks to support production AI systemsKey Skills \u0026 Requirements:NEEDS to be a team player and work well with others Hands-on experience building and deploying GenAI agents (including open-source LLMs) in production environmentsStrong knowledge of MCP, tool integrations, and agent orchestrationProven ability to design and maintain knowledge bases, vector search, and retrieval systems independentlyRapid GenAI prototyping (vibe coding)Cloud expertise: Azure (preferred), AWS, or GCP; secure, governed infrastructureExpert-level SQL skills; experience with Snowflake (flexible)Experience with Databricks for data, ML workflows, and predictive modelingSolid background in traditional ML (classification, clustering, etc.)Ability to build evals, guardrails, and safety layers for agents at scaleExperience with MLOps and LLM Observability5+ years of relevant experience; independent and collaborative team playerComfortable with LLMs and working in a team environment","Skills":"Azure, Databricks, and Snowflake expertise","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":true,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":68.0000,"SalaryLow":54.4000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Seeking a Senior Data Scientist with hands-on experience in GenAI agent development and modern AI engineering. The focus is on building production-grade agents, MCP integrations, and enterprise... knowledge systems using cloud and data stack.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Feb 13, 2026

Woonsocket, RI

|

Programmer / Developer

|

Contract

|

$13 - $16 (hourly estimate)

{"JobID":494526,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-71.5015,"Longitude":42.0016,"Distance":null},"State":"Rhode Island","Zip":"02895","ReferenceID":"BOS-cf07873d-b8a3-431d-9984-f123887dd752","PostedDate":"\/Date(1770988426000)\/","Description":"Insight Global is seeking a remote senior INTL (India) AI/ML Engineer to join a Fortune 10 retail pharmacy client. This person will be joining the team responsible for supporting the organizations retail shopping applications. This AI/ML team will be using customer data to increase sales and elevate customer pain points during their shopping/check out experience.Key Responsibilities:-Design, build, and deploy AI/ML models, including model training, optimization, and productionization-Develop high performance backend services and microservices using Spring Boot and Python-Architect scalable data pipelines and integrate systems using BigQuery, MongoDB, and PostgreSQL-Implement best practices for model monitoring, MLOps, CI/CD, observability, and logging-Optimize queries, database structures, and data access performance for large scale data systems-Stay current on emerging AI technologies, frameworks, and industry best practicesCompensation:$12/hr to $16/hrExact compensation may vary based on several factors, including skills, experience, and education.Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401K retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"INTL India - Senior AI/ML Engineer","City":"Woonsocket","ExpirationDate":null,"PriorityOrder":0,"Requirements":"-5+ years of software engineering experience, including at least 1 year working as an AI/ML Engineer-Strong hands-on coding skills in Python and Java (Spring Boot)-Strong experience with databases: BigQuery, MongoDB, PostgreSQL-Experience building scalable microservices, REST APIs, and distributed systems-Strong understanding of data modeling, data pipelines, ETL, and cloud-native architectures-Experience with Docker, Kubernetes, and cloud platforms (GCP)","Skills":"-GCP experience","Industry":"Programmer / Developer","Country":"US","Division":"IT","Office":null,"IsRemoteJob":true,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":16.0000,"SalaryLow":12.8000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is seeking a remote senior INTL (India) AI/ML Engineer to join a Fortune 10 retail pharmacy client. This person will be joining the team responsible for supporting the organizations... retail shopping applications. This AI/ML team will be using customer data to increase sales and elevate customer pain points during their shopping/check out experience.Key Responsibilities:-Design, build, and deploy AI/ML models, including model training, optimization, and productionization-Develop high performance backend services and microservices using Spring Boot and Python-Architect scalable data pipelines and integrate systems using BigQuery, MongoDB, and PostgreSQL-Implement best practices for model monitoring, MLOps, CI/CD, observability, and logging-Optimize queries, database structures, and data access performance for large scale data systems-Stay current on emerging AI technologies, frameworks, and industry best practicesCompensation:$12/hr to $16/hrExact compensation may vary based on several factors, including skills, experience, and education.Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401K retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Feb 09, 2026

Irvine, CA

|

Accounting

|

Contract

|

$16 - $20 (hourly estimate)

{"JobID":492554,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-117.81,"Longitude":33.63,"Distance":null},"State":"California","Zip":"92612","ReferenceID":"OCC-cdac7b2e-022e-47f9-9401-4db0076b41df","PostedDate":"\/Date(1770672189000)\/","Description":"AI Software EngineerJob DescriptionReporting into Director, Business Operations and Productivity as part of our North America Data Office and Operations team you will design, develop, and deploy AI-powered automation solutions that enhance operational productivity, improve onboarding and customer service processes, and improve time to value and quality for clients. You will collaborate cross-functionally with functional operations teams, sales teams, and wider business stakeholders to build intelligent agents and tools that act as digital teammates?automating repetitive tasks, improving decision-making and connecting highly dependent workflows, and allowing more personalized and responsive client engagement.Mindset and Working StyleWe?re looking for individuals who:? Think AI-first: approach problem solving through the lens of augmentation and intelligent automation.? Are curious, experimental, and pragmatic; unafraid to test, learn, and iterate.? Are collaborative builders who can partner effectively with both technical and non-technical stakeholders.? Are motivated by the challenge of scaling AI responsibly across a complex, global organization.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"AI Software Engineer ? INTL Costa Rica","City":"Irvine","ExpirationDate":null,"PriorityOrder":0,"Requirements":"What you\u0027ll do:? Collaborate cross-functionally with process improvement, automation, sales and operations teams to identify and implement AI automation opportunities.? Design, prototype and develop AI agents and AI-enabled workflows that augment business processes and improve efficiency, accuracy, and user experience using technologies such as ChatGPT, Azure OpenAI, OpenAI APIs, or other LLM stacks.? Translate business requirements into technical specifications and end-to-end architectures to automate workflows including client onboarding and solution configuration and delivery, know your customer (KYC) verification, and client technical and solution support.? Integrate AI models and agentic workflows into enterprise systems (e.g., SharePoint, Salesforce, Jira, ServiceNow) through APIs or custom connectors.? Monitor and evaluate AI solution performance using observability tools and metrics (e.g., response accuracy, latency, hallucination rate, adoption, and business impact) to ensure alignment with KPIs and business goals.? Ensure responsible AI use by following governance guidelines and best practices around data handling, security, and model transparency.? Create and maintain documentation to support maintenance and scale of developed AI solutions across the operations organization.QualificationsWhat you\u0027ll bring:? Strong programming skills in Python and experience with SQL and JavaScript.? Hands-on experience working with large language models (LLMs) and AI development platforms such as OpenAI API, Azure OpenAI, or Google Vertex AI, including prompt engineering, model integration, and configuration or fine-tuning as appropriate, and familiarity with orchestration frameworks like LangChain or CrewAI.? Proven experience integrating and deploying AI models and autonomous or agentic AI workflows in production environments, including API integration, orchestration, and performance monitoring.? Experience building scalable, resilient, and observable distributed systems and creating clear technical documentation for cross-functional teams.? Excellent communication and collaboration skills for working with cross-functional teams.? Experience working in agile, fast-paced environments with evolving priorities.? A portfolio of past AI projects demonstrating practical deployment of intelligent or agentic workflow solutions","Skills":"","Industry":"Accounting","Country":"US","Division":"IT","Office":null,"IsRemoteJob":true,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":20.0000,"SalaryLow":16.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

AI Software EngineerJob DescriptionReporting into Director, Business Operations and Productivity as part of our North America Data Office and Operations team you will design, develop, and deploy... AI-powered automation solutions that enhance operational productivity, improve onboarding and customer service processes, and improve time to value and quality for clients. You will collaborate cross-functionally with functional operations teams, sales teams, and wider business stakeholders to build intelligent agents and tools that act as digital teammates?automating repetitive tasks, improving decision-making and connecting highly dependent workflows, and allowing more personalized and responsive client engagement.Mindset and Working StyleWe?re looking for individuals who:? Think AI-first: approach problem solving through the lens of augmentation and intelligent automation.? Are curious, experimental, and pragmatic; unafraid to test, learn, and iterate.? Are collaborative builders who can partner effectively with both technical and non-technical stakeholders.? Are motivated by the challenge of scaling AI responsibly across a complex, global organization.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jan 29, 2026

Doraville, GA

|

Programmer / Developer

|

Contract

|

$27 - $34 (hourly estimate)

{"JobID":488597,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-84.42,"Longitude":33.76,"Distance":null},"State":"Georgia","Zip":"30360","ReferenceID":"ATL-365602ab-cddf-4179-b011-8ed5714ec7fb","PostedDate":"\/Date(1769716522000)\/","Description":"A client of Insight Global is looking to add a team member to their AI COE, they will be the operational backbone of the AI Lab. Enable rapid AI deployment by transforming prototypes into production systems. Ensure observability, reliability, and cost optimization for LLM workloads at scale. Reduce infrastructure friction so AI Engineers focus on conversational AI and agent development. Establish MLOps capability with reusable patterns for LLM systems, vector databases, and agentic workflows. Protect business value through security, compliance, and cost control.Role OverviewThe AI Center of Excellence needs a Dev/ML Ops Engineer to operationalize AI/LLM solutions on Azure. This role transforms AI prototypes into reliable, secure, cost-optimized production systems.This is not traditional DevOps?it\u0027s an AI-native infrastructure role focused on LLM orchestration layers, vector databases, agentic workflows, and AI observability.You will:?Build Infrastructure as Code (Terraform/Bicep) for Azure AI services?Deploy LLM-powered applications (Claude, Azure OpenAI, RAG systems)?Create CI/CD pipelines supporting rapid AI iteration?Implement observability for AI workload performance and costs?Ensure enterprise security, compliance, and operational reliabilityInfrastructure \u0026 DeploymentDesign and maintain Azure cloud infrastructure using IaC (Terraform/Bicep). Provision Azure AI services: App Service, Container Apps, Azure OpenAI, AI Search (vector DB), Cosmos DB, PostgreSQL, Redis Cache. Configure secure networking (VNETs, Private Endpoints, NSGs, WAF). Implement Azure Key Vault for secrets management. Optimize costs through Azure Cost Management.Build automated CI/CD pipelines (GitHub Actions or Azure DevOps) for backend APIs (Python/Flask, Node.js), frontends (React/Vue.js), database migrations, and infrastructure updates. Implement feature flags (Azure App Configuration) for gradual rollouts and kill switches. Create self-service deployment workflows with rollback automation.Observability \u0026 MLOpsConfigure Azure Application Insights for distributed tracing, custom metrics, and log analytics. Build dashboards tracking AI response times (P50/P95/P99), LLM token usage/costs, vector DB performance, cache hit rates, and compliance violations. Implement alerting (Azure Monitor Action Groups) and cost tracking per project.Support LLM deployment: configure Azure OpenAI with rate limiting and fallbacks, implement model versioning for prompt templates, build A/B testing infrastructure, manage vector DB operations (indexing, chunking, retrieval), optimize token consumption via caching, and support agentic workflows (multi-agent orchestration, tool calling, memory management).Security \u0026 ComplianceEnsure enterprise-grade security: implement Azure Private Endpoints (zero public exposure), configure Key Vault access policies (least privilege), set up Azure AD authentication (Managed Identities, RBAC), ensure data encryption at rest and in transit, support SOC 2/ISO 27001 audits, manage API key rotation, and implement PII anonymization for GDPR compliance.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Dev/ML Ops Engineer- Azure AI Infrastructure- INTL BRAZIL","City":"Doraville","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Must-Have Technical SkillsAzure Cloud Platform 3+ years with Azure: App Service, Container Apps, Functions, Cosmos DB, PostgreSQL, Redis Cache, VNETs, Private Endpoints, Azure AD, Managed Identities, RBAC, Azure OpenAI, AI Search, AI Document Intelligence. Azure Cost Management and FinOps experience.Infrastructure as Code \u0026 Automation Proficient in Terraform (preferred) or Bicep. Experience with IaC design, state management, GitOps. Strong scripting: Python (preferred), Bash, PowerShell.CI/CD \u0026 Containerization GitHub Actions or Azure DevOps Pipelines. Docker proficiency, Azure Container Apps, Kubernetes basics. Multi-environment deployment strategies (blue-green, canary, feature flags).Observability \u0026 Monitoring Azure Application Insights, Azure Monitor, Log Analytics. KQL (Kusto Query Language) proficiency. Dashboard building (Azure Workbooks, Grafana). Alerting and incident management (PagerDuty, Opsgenie).","Skills":"Preferred Experience?Deployed LLM applications (OpenAI, Anthropic Claude, Azure OpenAI) in production?Vector databases (Azure AI Search, Pinecone, Weaviate, ChromaDB)?LLM orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel)?RAG patterns: chunking, semantic search, hybrid retrieval, reranking?A/B testing for ML/AI models and token optimization strategies?Agentic workflows: multi-agent systems, tool calling, memory management?Enterprise compliance (SOC 2, ISO 27001, GDPR)?WAF configuration (Imperva, Azure Front Door)?AI consultancy or fast-paced innovation teams","Industry":"Programmer / Developer","Country":"US","Division":"IT","Office":null,"IsRemoteJob":true,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":34.0000,"SalaryLow":27.2000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

A client of Insight Global is looking to add a team member to their AI COE, they will be the operational backbone of the AI Lab. Enable rapid AI deployment by transforming prototypes into production... systems. Ensure observability, reliability, and cost optimization for LLM workloads at scale. Reduce infrastructure friction so AI Engineers focus on conversational AI and agent development. Establish MLOps capability with reusable patterns for LLM systems, vector databases, and agentic workflows. Protect business value through security, compliance, and cost control.Role OverviewThe AI Center of Excellence needs a Dev/ML Ops Engineer to operationalize AI/LLM solutions on Azure. This role transforms AI prototypes into reliable, secure, cost-optimized production systems.This is not traditional DevOps?it's an AI-native infrastructure role focused on LLM orchestration layers, vector databases, agentic workflows, and AI observability.You will:?Build Infrastructure as Code (Terraform/Bicep) for Azure AI services?Deploy LLM-powered applications (Claude, Azure OpenAI, RAG systems)?Create CI/CD pipelines supporting rapid AI iteration?Implement observability for AI workload performance and costs?Ensure enterprise security, compliance, and operational reliabilityInfrastructure & DeploymentDesign and maintain Azure cloud infrastructure using IaC (Terraform/Bicep). Provision Azure AI services: App Service, Container Apps, Azure OpenAI, AI Search (vector DB), Cosmos DB, PostgreSQL, Redis Cache. Configure secure networking (VNETs, Private Endpoints, NSGs, WAF). Implement Azure Key Vault for secrets management. Optimize costs through Azure Cost Management.Build automated CI/CD pipelines (GitHub Actions or Azure DevOps) for backend APIs (Python/Flask, Node.js), frontends (React/Vue.js), database migrations, and infrastructure updates. Implement feature flags (Azure App Configuration) for gradual rollouts and kill switches. Create self-service deployment workflows with rollback automation.Observability & MLOpsConfigure Azure Application Insights for distributed tracing, custom metrics, and log analytics. Build dashboards tracking AI response times (P50/P95/P99), LLM token usage/costs, vector DB performance, cache hit rates, and compliance violations. Implement alerting (Azure Monitor Action Groups) and cost tracking per project.Support LLM deployment: configure Azure OpenAI with rate limiting and fallbacks, implement model versioning for prompt templates, build A/B testing infrastructure, manage vector DB operations (indexing, chunking, retrieval), optimize token consumption via caching, and support agentic workflows (multi-agent orchestration, tool calling, memory management).Security & ComplianceEnsure enterprise-grade security: implement Azure Private Endpoints (zero public exposure), configure Key Vault access policies (least privilege), set up Azure AD authentication (Managed Identities, RBAC), ensure data encryption at rest and in transit, support SOC 2/ISO 27001 audits, manage API key rotation, and implement PII anonymization for GDPR compliance.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 29, 2024

Hartford, CT

|

Software Engineering

|

Contract

|

$40 - $50 (hourly estimate)

{"JobID":348269,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-72.7151181818182,"Longitude":41.7751363636364,"Distance":null},"State":"Connecticut","Zip":"06156","ReferenceID":"HTD-65f9a073-5f97-4caf-bea9-1847bd3f8128","PostedDate":"\/Date(1711703830000)\/","Description":"Located in Canada we\u0027re seeking a skilled AI/ML Engineer to develop robust data pipelines on our Google Cloud Data Platform. You\u0027ll design, optimize, and deploy solutions to support scientific discovery, using languages like Java, Scala, and Python. Collaborating closely with product managers, you\u0027ll ensure the continuous delivery of technology solutions, adhering to Agile and DevOps principles. Responsibilities include designing data pipelines, implementing ETL programs, and maintaining compliance with data governance policies. Your role will involve real-time and batch processing, enforcing data representation standards, and ensuring technical delivery meets security and regulatory standards. You\u0027ll work closely with Data Scientists, SREs, and Product Managers to deliver high-quality software and deploy machine learning models using Python and Jupyter notebook.We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC \"Know Your Rights\" Poster is available here. To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .","Title":"Fully Remote ML/AI Engineer - Near Shore","City":"Hartford","ExpirationDate":null,"PriorityOrder":0,"Requirements":"- Experience with data engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management (Git, Github actions, continuous integrations, testing, and operations)- Programing languages - Terraform Java SQL python - Experience with Data Ware housing - Red- experience with a public cloud - Moving into GCP currently operating in Azure - Basic understanding of Shell Scripting - Experience with Agile, DevOps \u0026 Automation testing, build, deployment, CI/CD Deployments - AI/ML Methodologies","Skills":"- experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)- experience working on real-time data and streaming applications- Experienced with visualization tools like SSRS, Excel, PowerBI, Tableau, Google Looker, Azure Synapse","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":true,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":50.0000,"SalaryLow":40.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Located in Canada we're seeking a skilled AI/ML Engineer to develop robust data pipelines on our Google Cloud Data Platform. You'll design, optimize, and deploy solutions to support scientific... discovery, using languages like Java, Scala, and Python. Collaborating closely with product managers, you'll ensure the continuous delivery of technology solutions, adhering to Agile and DevOps principles. Responsibilities include designing data pipelines, implementing ETL programs, and maintaining compliance with data governance policies. Your role will involve real-time and batch processing, enforcing data representation standards, and ensuring technical delivery meets security and regulatory standards. You'll work closely with Data Scientists, SREs, and Product Managers to deliver high-quality software and deploy machine learning models using Python and Jupyter notebook.We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Oct 06, 2025

Whitpain, PA

|

Software Engineering

|

Contract-to-perm

|

$88 - $110 (hourly estimate)

{"JobID":452016,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-75.26,"Longitude":40.14,"Distance":null},"State":"Pennsylvania","Zip":"19422","ReferenceID":"KPD-e24a0f8d-952b-4bc4-bfbd-127431ce0091","PostedDate":"\/Date(1759757280000)\/","Description":"Our Healthcare Insurance Client is looking to hire a Principal Software Engineer - Generative AI. This position is remote work from home and will convert to an FTE position after 1 year. Annual salary upon conversion to FTE will be $215-260K. We are seeking a Principal Software Engineer to lead the design and delivery of enterprise-scale Generative AI solutions that power next-generation healthcare experiences. This role goes beyond hands-on coding?you will define technical strategy, establish architectural standards, and guide multiple teams in building secure, scalable, and cost-effective AI platforms across AWS (Bedrock) and Google Cloud (Vertex AI API). You will partner with product, security, compliance, and enterprise architecture teams to ensure solutions meet business objectives, regulatory requirements, and performance goals.The ideal candidate combines deep technical expertise with leadership skills?capable of influencing cross-org architecture decisions, mentoring engineering teams, and driving responsible AI practices in production.Key Responsibilities?Lead end-to-end platform delivery of highly scalable, secure AI services and applications leveraging AWS Bedrock (Foundation Models, Knowledge Bases, Agents, Guardrails) and Google Cloud Vertex AI (Gemini via Vertex AI API, Agent Builder, Vector Search, Search \u0026 Grounding).?Architect and implement Retrieval-Augmented Generation (RAG) solutions, integrating proprietary data from sources like Amazon S3 and Google Cloud Storage/BigQuery, and using Bedrock Knowledge Bases and/or Vertex AI Search \u0026 Grounding with Vector Search to improve relevance and accuracy.?Design solutions that use function/tool calling and multimodal input processing across both platforms (e.g., Bedrock Converse API and Vertex AI API), and integrate with enterprise systems via secure, well-governed service interfaces.?Define reference architectures, golden paths, and guardrails for multi-cloud AI development; drive adoption through design reviews, Architecture Decision Records (ADRs), and clear SLOs for latency, resiliency, safety, and cost.?Champion Responsible AI: implement safety filters, policy-enforced guardrails, data minimization, and red-teaming playbooks using capabilities such as Bedrock Guardrails and Vertex AI Safety.?Partner with Security, Privacy, and Legal to ensure compliance with HIPAA/PHI, encryption, access control, and continuous auditability.?Build evaluation and observability frameworks (groundedness, hallucination rates, relevance, toxicity, drift, cost attribution, A/B testing) and drive FinOps practices (prompt optimization, caching, batching, model selection) across clouds.?Mentor Staff/Senior Engineers, elevate coding and design standards, and foster a culture of learning (design clinics, brown bags, communities of practice).?Monitor the rapidly evolving AI landscape (LLMs, agent frameworks, platform features) and translate advances into actionable platform strategy and roadmaps.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Principal Software Engineer ? Generative AI - Contract to Hire","City":"Whitpain","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Required Qualifications?10+ years of progressive, hands-on IT experience spanning systems analysis, application design, application development, and leading engineering teams.?7+ years designing and developing modern microservices architectures and cost-effective APIs for enterprise-scale solutions.?7+ years managing stakeholder requirements and translating them into robust, secure, and scalable technical solutions.?5+ years building or leading large-scale, mission-critical applications with a focus on performance, resiliency, and security.?5+ years of hands-on delivery for enterprise cloud initiatives on public cloud platforms (AWS and/or Google Cloud), including architecture, deployment, and optimization.?5+ years implementing DevOps and CI/CD automation, including containerization and orchestration (Kubernetes, Docker) ?3+ years of software development with a strong emphasis on Generative AI and Large Language Models (LLMs); familiarity with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and productionizing AI systems.?Demonstrated ability to influence architecture decisions, lead cross-functional teams, and deliver complex solutions in compliance-conscious environments.Preferred Qualifications?Hands-on experience with AWS Bedrock (Converse API, Agents, Knowledge Bases, Guardrails) and/or Google Cloud Vertex AI (Vertex AI API for Gemini, Agent Builder, Vector Search, Search \u0026 Grounding, Model Garden).?Expertise in RAG architectures, including embeddings, chunking, retrieval/reranking, vector databases, and caching strategies?implemented on Bedrock and/or Vertex AI.?Proven track record implementing Responsible AI: safety guardrails, bias/fairness testing, red-teaming, human-in-the-loop workflows, and policy compliance.?Strong background in observability and evaluation for AI systems: tracing/telemetry, token/inference cost attribution, A/B testing and offline/online evals (groundedness, hallucination), and drift monitoring.?Experience with FinOps for AI workloads (prompt optimization, caching/batching, model selection, distillation/quantization strategies, streaming).?Familiarity with infrastructure as code and platform engineering (e.g., Terraform, CDK, GitOps) and event-driven architectures.?Background in regulated industries (e.g., healthcare) and working knowledge of HIPAA/PHI, data governance, encryption, and access control.?Multi-cloud awareness (e.g., Azure OpenAI) and vendor/model evaluation frameworks.?Relevant certifications such as AWS Solutions Architect ? Professional, AWS Machine Learning ? Specialty, AWS Certified AI Practitioner, Google Cloud Professional Cloud Architect, or Google Cloud ML Engineer.","Skills":"","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":true,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":110.0000,"SalaryLow":88.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Our Healthcare Insurance Client is looking to hire a Principal Software Engineer - Generative AI. This position is remote work from home and will convert to an FTE position after 1 year. Annual... salary upon conversion to FTE will be $215-260K. We are seeking a Principal Software Engineer to lead the design and delivery of enterprise-scale Generative AI solutions that power next-generation healthcare experiences. This role goes beyond hands-on coding?you will define technical strategy, establish architectural standards, and guide multiple teams in building secure, scalable, and cost-effective AI platforms across AWS (Bedrock) and Google Cloud (Vertex AI API). You will partner with product, security, compliance, and enterprise architecture teams to ensure solutions meet business objectives, regulatory requirements, and performance goals.The ideal candidate combines deep technical expertise with leadership skills?capable of influencing cross-org architecture decisions, mentoring engineering teams, and driving responsible AI practices in production.Key Responsibilities?Lead end-to-end platform delivery of highly scalable, secure AI services and applications leveraging AWS Bedrock (Foundation Models, Knowledge Bases, Agents, Guardrails) and Google Cloud Vertex AI (Gemini via Vertex AI API, Agent Builder, Vector Search, Search & Grounding).?Architect and implement Retrieval-Augmented Generation (RAG) solutions, integrating proprietary data from sources like Amazon S3 and Google Cloud Storage/BigQuery, and using Bedrock Knowledge Bases and/or Vertex AI Search & Grounding with Vector Search to improve relevance and accuracy.?Design solutions that use function/tool calling and multimodal input processing across both platforms (e.g., Bedrock Converse API and Vertex AI API), and integrate with enterprise systems via secure, well-governed service interfaces.?Define reference architectures, golden paths, and guardrails for multi-cloud AI development; drive adoption through design reviews, Architecture Decision Records (ADRs), and clear SLOs for latency, resiliency, safety, and cost.?Champion Responsible AI: implement safety filters, policy-enforced guardrails, data minimization, and red-teaming playbooks using capabilities such as Bedrock Guardrails and Vertex AI Safety.?Partner with Security, Privacy, and Legal to ensure compliance with HIPAA/PHI, encryption, access control, and continuous auditability.?Build evaluation and observability frameworks (groundedness, hallucination rates, relevance, toxicity, drift, cost attribution, A/B testing) and drive FinOps practices (prompt optimization, caching, batching, model selection) across clouds.?Mentor Staff/Senior Engineers, elevate coding and design standards, and foster a culture of learning (design clinics, brown bags, communities of practice).?Monitor the rapidly evolving AI landscape (LLMs, agent frameworks, platform features) and translate advances into actionable platform strategy and roadmaps.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jan 21, 2026

San Diego, CA

|

Computer Engineering

|

Perm

|

$250k - $300k (estimate)

{"JobID":484919,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-117.12,"Longitude":33.02,"Distance":null},"State":"California","Zip":"92127","ReferenceID":"DGO-ae0f61ef-8712-40f4-801d-ee5cdebad913","PostedDate":"\/Date(1769008619000)\/","Description":"Insight Global is seeking a Principal Software Engineer with AI experience for a direct hire opportunity to sit fully remote in the US. You will be joining a team to help improve AI governance and compliance platforms to help organizations manage and monitor AI systems securely and transparently. You will drive the end-to-end technical strategy, architecture, and productionization of the clients machine learning systems, large language model (LLM) capabilities, and AI infrastructure. Own how models, evaluation pipelines, data workflows, and observability components are designed, deployed, monitored, and continuously improved to meet reliability, quality, safety, and cost goals. Provide deep AI/ML expertise and leadership across engineering teams, guiding model integration, AI/ML platform decisions, and scalable distributed systems that support enterprise-grade GenAI workloads.Job responsibilities?Define and own the architecture for scalable AI/ML systems, including training, fine-tuning, inference, evaluation, and monitoring pipelines.?Translate ambiguous business and product requirements into robust AI/ML system designs and staged delivery plans.?Make strategic decisions on model selection, LLM integrations, evaluation frameworks, model gateways, guardrails, and safety mechanisms.?Lead design reviews, architecture forums, and technical decision-making across teams.?Build and deploy production-grade AI/ML/LLM models, transformers, and generative AI features?from initial concept through production rollout.?Establish standards for model readiness, evaluation gates, rollout/rollback, drift detection, observability, and ongoing performance management.?Partner with engineering teams to integrate models into distributed systems with clear SLOs, telemetry, and error-budget mechanisms.?Design and improve data pipelines, feature stores, and data quality/lineage workflows supporting model training and inference.?Develop scalable AI/MLOps/AIOps practices for automation of training, testing, deployment, and monitoring.?Evaluate and implement AI/ML workflow orchestration platforms (e.g., AI/MLflow, Kubeflow, Vertex AI) and CI/CD for AI/ML.?Own evaluation pipelines?latency, accuracy, cost, hallucination metrics, prompt versioning, and model performance insights.?Instrument tracing and model observability using best-practice frameworks and telemetry standards.?Implement guardrails and safety systems to ensure consistent, controlled behaviour of LLM-powered features.?Partner closely with product, engineering, and leadership to shape platform strategy and AI feature roadmap.?Provide trade-off analyses that incorporate model performance, security, compliance, scalability, and long-term maintainability.?Write clear technical documents, proposals, and mechanism-based recommendations to guide executive decision-making.?Mentor senior/junior engineers in AI/ML best practices, distributed systems, experimentation, and model governance.?Support hiring, leveling, performance feedback, and the growth of a high-calibre engineering team.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Principal Engineer","City":"San Diego","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?10+ years of software engineering experience?5+ years of hands-on AI/ML development experience?Full stack development w/ Java and cplusplus?Bachelor?s Degree in Computer Science or related field ?Proven experience deploying AI/ML productions or LLM systems at scale (not prototypes)?Extensive experience with Python programming ?Experience w/ cloud platforms (AWS/GCP/Azure) and Kubernetes experience ?Experience in AI/ML flow ? Kubeflow, Vertex AI, SageMaker or similar platform?Expertise with LLM productionization including finetuning, retrieval-augmented generation (RAG), safety/guardrails, and evaluation.","Skills":"?Masters or PhD in Computer Science, Machine Learning, etc?Cloud platform experience with deploying AI/ML workloads at scale?Contributions to Alops/MLOps platform ?Previous experience with AI observability and troubleshooting","Industry":"Computer Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":true,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":300000.0000,"SalaryLow":250000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is seeking a Principal Software Engineer with AI experience for a direct hire opportunity to sit fully remote in the US. You will be joining a team to help improve AI governance and... compliance platforms to help organizations manage and monitor AI systems securely and transparently. You will drive the end-to-end technical strategy, architecture, and productionization of the clients machine learning systems, large language model (LLM) capabilities, and AI infrastructure. Own how models, evaluation pipelines, data workflows, and observability components are designed, deployed, monitored, and continuously improved to meet reliability, quality, safety, and cost goals. Provide deep AI/ML expertise and leadership across engineering teams, guiding model integration, AI/ML platform decisions, and scalable distributed systems that support enterprise-grade GenAI workloads.Job responsibilities?Define and own the architecture for scalable AI/ML systems, including training, fine-tuning, inference, evaluation, and monitoring pipelines.?Translate ambiguous business and product requirements into robust AI/ML system designs and staged delivery plans.?Make strategic decisions on model selection, LLM integrations, evaluation frameworks, model gateways, guardrails, and safety mechanisms.?Lead design reviews, architecture forums, and technical decision-making across teams.?Build and deploy production-grade AI/ML/LLM models, transformers, and generative AI features?from initial concept through production rollout.?Establish standards for model readiness, evaluation gates, rollout/rollback, drift detection, observability, and ongoing performance management.?Partner with engineering teams to integrate models into distributed systems with clear SLOs, telemetry, and error-budget mechanisms.?Design and improve data pipelines, feature stores, and data quality/lineage workflows supporting model training and inference.?Develop scalable AI/MLOps/AIOps practices for automation of training, testing, deployment, and monitoring.?Evaluate and implement AI/ML workflow orchestration platforms (e.g., AI/MLflow, Kubeflow, Vertex AI) and CI/CD for AI/ML.?Own evaluation pipelines?latency, accuracy, cost, hallucination metrics, prompt versioning, and model performance insights.?Instrument tracing and model observability using best-practice frameworks and telemetry standards.?Implement guardrails and safety systems to ensure consistent, controlled behaviour of LLM-powered features.?Partner closely with product, engineering, and leadership to shape platform strategy and AI feature roadmap.?Provide trade-off analyses that incorporate model performance, security, compliance, scalability, and long-term maintainability.?Write clear technical documents, proposals, and mechanism-based recommendations to guide executive decision-making.?Mentor senior/junior engineers in AI/ML best practices, distributed systems, experimentation, and model governance.?Support hiring, leveling, performance feedback, and the growth of a high-calibre engineering team.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jan 20, 2026

San Diego, CA

|

Software Engineering

|

Perm

|

$160k - $200k (estimate)

{"JobID":484393,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-117.12,"Longitude":33.02,"Distance":null},"State":"California","Zip":"92127","ReferenceID":"DGO-bcf51f61-001e-4372-ac13-c92af8a96684","PostedDate":"\/Date(1768933711000)\/","Description":"Insight Global is seeking a Senior Software Engineer with AI experience for a direct hire opportunity to sit fully remote in the US. You will be joining a team to help improve AI governance and compliance platforms to help organizations manage and monitor AI systems securely and transparently. This person will be responsible for the design, implementation, and ship production-grade Gen AI capabilities. You?ll build full stack product features utilizing TypeScript, Node.js and React and contribute to the development of observability and AI tracing systems. This resource should have hands on implementation of LLM powered systems and have familiarity with tool/agent orchestration frameworks. You will translate ambiguous product goals into reliable, scalable solutions, contribute directly to core platform architecture, and collaborate closely with product, design, and leadership to deliver real-world AI capabilities used in production by customers.Other responsibilities include: ?Take end-to-end ownership of features?from requirements shaping through implementation, testing, release, and iteration.?Operate autonomously in ambiguity, making pragmatic engineering decisions aligned with product goals.?Diagnose and improve performance, reliability, and quality of AI-driven systems.?Partner closely with Product, Design, and other Engineers to shape solutions.?Participate actively in code reviews, architectural discussions, and internal technical debates.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Senior Software Engineer","City":"San Diego","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?6+ years of software engineering experience ?Extensive development experience w/ TypeScript, Node.JS, and React?Hands-on implementation of LLM powered systems (applications, agents, workflows)?Experienced w/ Generative AI?Familiar w/ tool/agent orchestration frameworks (LangChain, LangGraph, LlamaIndex, custom frameworks)?Architecture, debugging, and performance optimization ?Experience with RAG, embeddings, vector search, or evaluation methodologies.","Skills":"?Exposure to evaluation frameworks, safety systems, or LLM traceability?Experience w/ Python for AI workflows?Experience w/ data pipelines, vector databases or ML infrastructure ?Open0source AI frameworks","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":true,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":200000.0000,"SalaryLow":160000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is seeking a Senior Software Engineer with AI experience for a direct hire opportunity to sit fully remote in the US. You will be joining a team to help improve AI governance and... compliance platforms to help organizations manage and monitor AI systems securely and transparently. This person will be responsible for the design, implementation, and ship production-grade Gen AI capabilities. You?ll build full stack product features utilizing TypeScript, Node.js and React and contribute to the development of observability and AI tracing systems. This resource should have hands on implementation of LLM powered systems and have familiarity with tool/agent orchestration frameworks. You will translate ambiguous product goals into reliable, scalable solutions, contribute directly to core platform architecture, and collaborate closely with product, design, and leadership to deliver real-world AI capabilities used in production by customers.Other responsibilities include: ?Take end-to-end ownership of features?from requirements shaping through implementation, testing, release, and iteration.?Operate autonomously in ambiguity, making pragmatic engineering decisions aligned with product goals.?Diagnose and improve performance, reliability, and quality of AI-driven systems.?Partner closely with Product, Design, and other Engineers to shape solutions.?Participate actively in code reviews, architectural discussions, and internal technical debates.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

21 - 30 of 132