Job Search Results for AI engineer
Oct 28, 2025
Jersey City, NJ
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Software Engineering
|
Contract
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$105 - $131 (hourly estimate)
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Insight Global is looking for an AI Engineer to join one of the world's leading financial institutions on a remote basis working EST hours. This person will be joining the Machine Learning and... Artificial Intelligence team within their Enterprise Technology Operations group. This team is looking to build an Agentic AI solution that automates production support across the entire bank. The team is looking for AI engineers that have taken an existing AI Model and within their organization built robust engineering solutions and ideally deployed into production to solve business problems.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 24, 2026
Burnaby, BC
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Software Engineering
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Perm
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$125k - $140k (estimate)
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The team employs a state-of-the-art, cloud-based tech stack equipped with top-tier tools to support initiatives such as data modeling, model training and fine-tuning, and agent development. They provide solutions and platforms that empower the future of game development, marketing, sales, and player experiences. As a Software Engineer with expertise in AI/ML systems and platform development, you will help lead the creation of a scalable AI Platform. Key responsibilities include but are not limited to: Contribute to the design and development of core AI platform components to support machine learning lifecycle workflows (data and metadata ingestion, storage and indexing, model training, validation, deployment) within a live-service gaming environment Implement and maintain cloud-based infrastructure (on AWS, GCP or Azure) supporting scalable ML workloads, ensuring reliability, availability and cost-efficiency for game operations Assist in automating end-to-end AI workflows: build CI/CD pipelines for model deployment, containerized micro-services (Docker/Kubernetes), and metric instrumentation for model performance and monitoring Work alongside data scientists, ML engineers and game developers to integrate ML models into production systems, support deployment, conduct testing and troubleshoot performance or reliability issues in live environments Develop and maintain scripts, services or platform modules for feature pipelines, model orchestration, data-lake or lakehouse interactions (e.g., Spark, Redshift, Snowflake) Monitor, tune and optimise model performance, scalability, and cost-efficiency in production, contributing suggestions and implementation of improvements under the direction of senior engineersWe 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":"Software Engineer (AI Platform)","City":"Burnaby","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Master?s degree or equivalent in Computer Science, AI, ML, or related field, or Bachelor degree or equivalent in Computer Science, Electrical Engineering, or related field with 2+ years of software engineering experience with a focus on AI/ML systems or platform development Familiarity with deep-learning frameworks (e.g., PyTorch) and a basic understanding of machine learning lifecycle: model development, evaluation, deployment Proficiency in Python programming Experience working with containerization (Docker), orchestration (Kubernetes) and CI/CD pipelines in a cloud environment Experience with data-lake or lakehouse technologies (e.g., Spark, Redshift, Snowflake, Trino) Understanding of deploying and monitoring ML models in production, including performance, scalability, reliability, and cost considerations Strong problem-solving and collaboration skills, attention to detail, and excellent communication written and verbal","Skills":"Exposure to cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tooling (e.g., Terraform, CloudFormation) is highly desirable Exposure to generative AI technologies (e.g., diffusion models, large language models), experience in a live service or gaming environment, or prior project work in end-to-end ML systems Experience with one or more additional languages (e.g., Java, Go, cplusplus)","Industry":"Software Engineering","Country":"Canada","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":139500.0000,"SalaryLow":125000.0000,"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 looking for a Software Engineer (AI Platform) to join an enterprise AAA game company hybrid out of Vancouver BC on a permanent basis. The Infrastructure and Platform Services team... serves as the backbone of the company?s global ecosystem, supporting the creation of exceptional games and immersive player experiences. As a part of the team, you will contribute to essential platforms such as Cloud, Commerce, AI, Gameplay Services, Identity, and Social. The AI Platform team delivers centralized AI resources across all the company's game franchises, crafting AI and Generative AI solutions alongside a shared AI infrastructure for company-wide applications. The team employs a state-of-the-art, cloud-based tech stack equipped with top-tier tools to support initiatives such as data modeling, model training and fine-tuning, and agent development. They provide solutions and platforms that empower the future of game development, marketing, sales, and player experiences. As a Software Engineer with expertise in AI/ML systems and platform development, you will help lead the creation of a scalable AI Platform. Key responsibilities include but are not limited to: Contribute to the design and development of core AI platform components to support machine learning lifecycle workflows (data and metadata ingestion, storage and indexing, model training, validation, deployment) within a live-service gaming environment Implement and maintain cloud-based infrastructure (on AWS, GCP or Azure) supporting scalable ML workloads, ensuring reliability, availability and cost-efficiency for game operations Assist in automating end-to-end AI workflows: build CI/CD pipelines for model deployment, containerized micro-services (Docker/Kubernetes), and metric instrumentation for model performance and monitoring Work alongside data scientists, ML engineers and game developers to integrate ML models into production systems, support deployment, conduct testing and troubleshoot performance or reliability issues in live environments Develop and maintain scripts, services or platform modules for feature pipelines, model orchestration, data-lake or lakehouse interactions (e.g., Spark, Redshift, Snowflake) Monitor, tune and optimise model performance, scalability, and cost-efficiency in production, contributing suggestions and implementation of improvements under the direction of senior engineersWe 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 14, 2026
Vancouver, BC
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Security Engineering
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Contract
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$35 - $44 (hourly estimate)
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Insight Global is looking for a Security Engineer within Data & AI Security, you will be responsible for engineering secure, compliant, and resilient data and AI platforms across a rapidly scaling... global business.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 05, 2026
Irvine, CA
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Software Engineering
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Perm
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$180k - $200k (estimate)
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Responsible for serving as a senior technical leader driving the design, development, and deployment of advanced AI solutions that address complex business challenges. Provides deep expertise across... domains such as computer vision, natural language processing, recommendation systems, and predictive analytics, while setting strategic direction, establishing best practices, and influencing cross-functional teams to maximize the impact of AI initiatives. The role is onsite, 5 days/week in Irvine, CA.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 30, 2026
Atlanta, GA
|
Programmer / Developer
|
Perm
|
$140k - $145k (estimate)
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The AI/ML Engineer is responsible for designing, developing, and deploying scalable artificial intelligence and machine learning solutions that enhance customer interactions, automate... decision-making, and improve operational efficiency. This role involves building intelligent workflows, predictive models, data driven insights, and automation frameworks in collaboration with cross functional engineering, product, and support teams.AI Driven Interactions & AutomationDesign and implement AI powered conversational flows and automated decisioning logic.Build secure data integrations to enable real time processing and intelligent responses.Optimize large language model (LLM) workflows for accuracy, performance, and usability.Data Analytics & Predictive ModelingApply machine learning techniques to structured and unstructured data from various systems.Develop predictive models to identify trends, detect anomalies, and support proactive decision making.Implement monitoring and alerting mechanisms to ensure timely detection and escalation of issues.Real Time Intelligence for Internal TeamsIntegrate AI driven insights into internal tools to support agents and operations teams.Deliver real time recommendations, next best actions, and contextual guidance based on combined system and interaction data.Enhance employee productivity through intelligent assistance and dynamic knowledge retrieval.Automated Workflows & Operational SafetyBuild diagnostic and remediation automation with appropriate safety, governance, and auditability controls.Ensure all automated actions adhere to defined compliance, authorization, and security rules.Develop dashboards and reporting tools for system health, workflow performance, and model metrics.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
Burnaby, BC
|
Software Engineering
|
Perm
|
$178k - $200k (estimate)
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The team employs a state-of-the-art, cloud-based tech stack equipped with top-tier tools to support initiatives such as data modeling, model training and fine-tuning, and agent development. They provide solutions and platforms that empower the future of game development, marketing, sales, and player experiences. As a Senior Software Engineer with expertise in AI/ML systems and platform development, you will help lead the creation of a scalable AI Platform. You will report to the Engineering Director of the AI Platform team. Key responsibilities include but are not limited to:?Lead the architecture, design, and development of next-generation AI platforms supporting the entire AI lifecycle (data ingestion, feature store, model training, validation, deployment, monitoring, feedback loops) in a live-service gaming environment?Define and architect scalable, secure, high-performance multi-cloud platforms to support global real-time analytics, model inference at scale, low latency, and high availability for game services and live ops?Own the integration of AI/ML solutions into the real-time production game environment: working with producers, game engineers, ML engineers, data scientists and live-ops teams to ensure seamless model deployment, performance monitoring, rollback strategies, drift detection, and lifecycle management?Drive automation of end-to-end workflows: CI/CD for ML (MLOps), model versioning, A/B testing, feature-pipeline orchestration, self-service tooling for internal users (game devs, data scientists) to rapidly adopt the platform?Establish and enforce platform-wide standards for reliability, scalability, cost-optimization, operational excellence, security, and governance AI practices (in line with industry trends)?Mentor and lead other junior engineers on the team: coaching architecture decisions, best practices for ML platforms, cloud infrastructure, observability, and operational excellence in live systems?Partner with game-studio producers, artists, game engineers, data science and analytics teams and live-ops to define, develop and deliver customer-facing AI solutions: translate studio business/game challenges into AI-platform deliverables, propose reusable solutions for common partner use-cases (e.g., personalization recommendation, generative content, player-engagement, anti-cheat), and lead proof-of-concepts or pilots.?Act as a strategic bridge between business/game-service priorities and platform delivery: translate game-service and player-experience requirements into platform features, articulate trade-offs (cost, latency, risk, security), drive cross-functional alignment, ensure platform empowers business outcomes and partner successWe 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":"Sr. Software Engineer (AI Platform)","City":"Burnaby","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Master?s degree (or equivalent) in Computer Science, AI, ML, or related field with 5+ years of professional software engineering experience focused on AI/ML systems, platform development, data/analytics infrastructure, and/or live-service game systems?Excellent programming skills in Python, and strong familiarity with one or more other languages (e.g., Java, cplusplus, Go) as required by high-performance infrastructure?Deep experience with deep-learning frameworks such as PyTorch, and exposure to generative AI technologies (LLMs, diffusion models, agentic systems) used in production settings?Proven track record building and operating cloud-based, scalable, secure, production-grade platforms supporting large-scale ML workloads?Expertise with major cloud platforms (AWS, GCP or Azure), and proficiency in cloud-native tooling: infrastructure-as-code (Terraform, CloudFormation), containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, monitoring/logging/observability?Strong experience deploying and managing ML models in production, especially in real-time or near-real-time use-cases (e.g., live games, personalization engines, recommendation systems, player-engagement features)?Demonstrated ability to architect and deliver platform features that enable self-service, internal developer productivity, governance and compliance, including model monitoring, drift detection, observability, and performance management across global scale?Excellent leadership, mentorship and communication skills: ability to guide other engineers, collaborate across data science, game development, product and operations teams; able to translate business/game metrics into platform requirements; able to present technical options and trade-offs to non-technical stakeholders. Effective communication is critical to adoption and partner satisfaction.","Skills":"?Experience in live-service game environments or entertainment/real-time platforms?Experience with multi-tenant (or internal SaaS) platforms?Experience working with GenAI integration for games (e.g., procedurally generated content, conversational NPCs, AI agents)?Knowledge of performance/latency trade-offs in large-scale gaming systems?Experience in change management or in enabling partner teams for AI adoption","Industry":"Software Engineering","Country":"Canada","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":199900.0000,"SalaryLow":178000.0000,"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 looking for a Senior Software Engineer (AI Platform) to join an enterprise AAA game company hybrid out of Vancouver BC on a permanent basis. The Infrastructure and Platform Services... team serves as the backbone of the company?s global ecosystem, supporting the creation of exceptional games and immersive player experiences. As a part of the team, you will contribute to essential platforms such as Cloud, Commerce, AI, Gameplay Services, Identity, and Social. The AI Platform team delivers centralized AI resources across all the company's game franchises, crafting AI and Generative AI solutions alongside a shared AI infrastructure for company-wide applications. The team employs a state-of-the-art, cloud-based tech stack equipped with top-tier tools to support initiatives such as data modeling, model training and fine-tuning, and agent development. They provide solutions and platforms that empower the future of game development, marketing, sales, and player experiences. As a Senior Software Engineer with expertise in AI/ML systems and platform development, you will help lead the creation of a scalable AI Platform. You will report to the Engineering Director of the AI Platform team. Key responsibilities include but are not limited to:?Lead the architecture, design, and development of next-generation AI platforms supporting the entire AI lifecycle (data ingestion, feature store, model training, validation, deployment, monitoring, feedback loops) in a live-service gaming environment?Define and architect scalable, secure, high-performance multi-cloud platforms to support global real-time analytics, model inference at scale, low latency, and high availability for game services and live ops?Own the integration of AI/ML solutions into the real-time production game environment: working with producers, game engineers, ML engineers, data scientists and live-ops teams to ensure seamless model deployment, performance monitoring, rollback strategies, drift detection, and lifecycle management?Drive automation of end-to-end workflows: CI/CD for ML (MLOps), model versioning, A/B testing, feature-pipeline orchestration, self-service tooling for internal users (game devs, data scientists) to rapidly adopt the platform?Establish and enforce platform-wide standards for reliability, scalability, cost-optimization, operational excellence, security, and governance AI practices (in line with industry trends)?Mentor and lead other junior engineers on the team: coaching architecture decisions, best practices for ML platforms, cloud infrastructure, observability, and operational excellence in live systems?Partner with game-studio producers, artists, game engineers, data science and analytics teams and live-ops to define, develop and deliver customer-facing AI solutions: translate studio business/game challenges into AI-platform deliverables, propose reusable solutions for common partner use-cases (e.g., personalization recommendation, generative content, player-engagement, anti-cheat), and lead proof-of-concepts or pilots.?Act as a strategic bridge between business/game-service priorities and platform delivery: translate game-service and player-experience requirements into platform features, articulate trade-offs (cost, latency, risk, security), drive cross-functional alignment, ensure platform empowers business outcomes and partner successWe 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 04, 2026
Mayfield Heights, OH
|
Software Engineering
|
Contract
|
$50 - $62 (hourly estimate)
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Insight Global is looking for an OpenAI Resource to work at one of our top clients. This person is going to be working autonomously with the client. They will learn the teams environment, team,... products, and then make recommendations of how to use OpenAI to drive the organization forward. They will be working on a project focused on HR Chatbots for people to ask questions about benefits. This person will be working along the software development team reporting directly into one the IT Directors. This person should have prior experience making recommendations for OpenAI. Prior experience with ChatGPT would be a strong plus. This role is roughly 60-70hrWe 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 24, 2026
Lehi, UT
|
Computer Engineering
|
Contract
|
$52 - $65 (hourly estimate)
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Responsibilities:?Build multimodal pipelines integrating vision, audio, radar, text, and other signals for high accuracy AI experiences. ?Optimize and deploy models for constrained hardware,... including performance benchmarking. ?Partner with cloud, mobile, QA, product, UX, and hardware teams to deliver scalable AI features. ?Act as a technical mentor and system owner, shaping strategy, reviews, and roadmap priorities. ?Create tools and frameworks for model evaluation, A/B testing, and automated performance monitoring across cloud and edge.Day to Day:One of Insight Global?s clients is seeking a Staff Software Engineer to join their team. This individual will be responsible for leading the design and development of advanced AI features. They will build and refine multimodal pipelines that combine vision, audio, radar, text, and other sensor inputs to deliver highly accurate, real time experiences. Much of their time is spent optimizing and deploying AI models on constrained embedded hardware, benchmarking performance, and ensuring smooth coordination between cloud and edge systems. They work closely with cloud, mobile, QA, product, UX, and hardware teams to bring AI powered capabilities from concept to production. This individual will serve as a technical mentor and system owner, guiding architectural decisions, participating in reviews, and help shape long term strategy and roadmap priorities. They will also develop tools and frameworks that support model evaluation, A/B testing, and automated monitoring across cloud and edge environments, ensuring that deployed systems remain reliable, efficient, and continuously improving.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 16, 2026
Austin, TX
|
QA
|
Perm
|
$83k - $127k (estimate)
{"JobID":483908,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-97.74,"Longitude":30.26,"Distance":null},"State":"Texas","Zip":"78701","ReferenceID":"AUS-ccef9dfc-9761-4acc-bae2-5bd1d143fd55","PostedDate":"\/Date(1768601667000)\/","Description":"The QA Engineer (AI/Automation Validation) ensures the quality, reliability, and safety of the company\u0027s AI agents and automation workflows across Salesforce, MuleSoft, and AI platforms. This role designs and executes test strategies, builds automated testing frameworks, validates AI outputs for accuracy and consistency, and tests how systems integrate and exchange data. The engineer partners closely with developers, business analysts, and project managers to identify defects, test edge cases, document results, and provide the final quality sign off before production releases. They maintain test assets, support Agile ceremonies, and continuously improve testing processes to ensure stable, high quality AI and automation solutions.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":"QA Engineer (AI/Automation Validation)","City":"Austin","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 3+ years of QA, test automation, or software testing experience ? Hands on experience building automated tests (Selenium, Playwright, Cypress, Jest, Pytest, etc.) ? Ability to write scripts/code in Python, JavaScript, Java, or csharp ? Experience testing APIs and integrations ? Strong understanding of Agile/Scrum practices ? Experience using defect and test management tools (Jira, Azure DevOps, TestRail, etc.) ? Excellent communication and documentation skills ? Strong attention to detail, analytical thinking, and ability to identify edge cases","Skills":"?AI/ML testing experience: Familiarity with testing AI models, LLMs, chatbots, or machine learning systems including validation of AI outputs for accuracy, bias, and hallucinations.?Salesforce testing knowledge: Understanding of Salesforce platform, data model, and testing approaches for Salesforce applications and customizations.?API and integration testing: Experience testing APIs, web services, and integration platforms like MuleSoft, including REST/SOAP protocols and data validation.?CI/CD pipeline experience: Familiarity with integrating automated tests into CI/CD pipelines using tools like Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.?Performance and load testing: Experience with performance testing tools such as JMeter, LoadRunner, or k6 for validating system scalability and reliability.?GenAI fluency: Comfort using generative AI tools (ChatGPT, Claude, etc.) to streamline test case generation, test data creation, and documentation.?Database and SQL knowledge: Ability to write SQL queries for data validation, test data setup, and database testing.","Industry":"QA","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":127000.0000,"SalaryLow":83000.0000,"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)\/"}
The QA Engineer (AI/Automation Validation) ensures the quality, reliability, and safety of the company's AI agents and automation workflows across Salesforce, MuleSoft, and AI platforms. This role... designs and executes test strategies, builds automated testing frameworks, validates AI outputs for accuracy and consistency, and tests how systems integrate and exchange data. The engineer partners closely with developers, business analysts, and project managers to identify defects, test edge cases, document results, and provide the final quality sign off before production releases. They maintain test assets, support Agile ceremonies, and continuously improve testing processes to ensure stable, high quality AI and automation solutions.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 30, 2026
Erlanger, KY
|
Data Warehousing
|
Contract-to-perm
|
$14 - $17 (hourly estimate)
{"JobID":488818,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-84.58,"Longitude":39,"Distance":null},"State":"Kentucky","Zip":"41018","ReferenceID":"CIN-4928e943-4026-4c3c-9336-542b7ae6b460","PostedDate":"\/Date(1769741342000)\/","Description":"A fortune 100 organization is seeking a Senior Cloud and AI Engineer that will sit onsite in Bengaluru India for a contract to hire position. We are seeking a \"Senior Engineer ? Cloud \u0026 AI\" to drive the development through deployment of cutting-edge cloud-native AI solutions. This role requires a combination of deep technical expertise in Microsoft Azure, strong DevOps and CI/CD practices, and an engineering mindset focused on delivering impactful and value-centric solutions. The ideal candidate is a collaborative team player who thrives in both research-oriented problem solving and timeline-driven execution. The individual comes with a proven background on deploying Generative AI workloads (LLM?s, LVM?s, TTS, Speech to Text etc.) cloud native, with ?Security by design? using Commercial (for ex: Azure OpenAI), or Open-source (for ex: Llama, Mistral etc.) models.Key Responsibilities:?Drive the design, development, and deployment of cloud-native Generative AI solutions on Microsoft Azure.?Implement and maintain DevOps best practices, including CI/CD pipelines, Infrastructure as Code (IaC), and version control using GitHub or Azure DevOps.?Collaborate with data scientists, AI/ML teams, and business stakeholders to deploy and optimize AI models within cloud-native architectures, ensuring seamless integration and performance at scale.?Drive cloud architecture decisions in partnership with Enterprise Architecture, TechOps, and Cybersecurity functions, ensuring scalability, security, and cost efficiency?Build and manage CI/CD pipelines to streamline the deployment process and ensure rapid delivery of high-quality applications.?Advocate and implement Infrastructure as Code (IaC) to automate infrastructure provisioning, ensuring consistency across environments.?Collaborate closely with cross-functional teams, promoting a culture of teamwork and innovation.?Provide technical leadership, mentoring team members, and fostering a continuous learning environment.?Stay up to date with the latest trends in Azure services, AI technologies, and DevOps practices to recommend innovative solutions.A fortune 100 organization is seeking a Senior Cloud and AI Engineer that will sit onsite in Bengaluru India for a contract to hire position. We are seeking a \"Senior Engineer ? Cloud \u0026 AI\" to drive the development through deployment of cutting-edge cloud-native AI solutions. This role requires a combination of deep technical expertise in Microsoft Azure, strong DevOps and CI/CD practices, and an engineering mindset focused on delivering impactful and value-centric solutions. The ideal candidate is a collaborative team player who thrives in both research-oriented problem solving and timeline-driven execution. The individual comes with a proven background on deploying Generative AI workloads (LLM?s, LVM?s, TTS, Speech to Text etc.) cloud native, with ?Security by design? using Commercial (for ex: Azure OpenAI), or Open-source (for ex: Llama, Mistral etc.) models.Key Responsibilities:?Drive the design, development, and deployment of cloud-native Generative AI solutions on Microsoft Azure.?Implement and maintain DevOps best practices, including CI/CD pipelines, Infrastructure as Code (IaC), and version control using GitHub or Azure DevOps.?Collaborate with data scientists, AI/ML teams, and business stakeholders to deploy and optimize AI models within cloud-native architectures, ensuring seamless integration and performance at scale.?Drive cloud architecture decisions in partnership with Enterprise Architecture, TechOps, and Cybersecurity functions, ensuring scalability, security, and cost efficiency?Build and manage CI/CD pipelines to streamline the deployment process and ensure rapid delivery of high-quality applications.?Advocate and implement Infrastructure as Code (IaC) to automate infrastructure provisioning, ensuring consistency across environments.?Collaborate closely with cross-functional teams, promoting a culture of teamwork and innovation.?Provide technical leadership, mentoring team members, and fostering a continuous learning environment.?Stay up to date with the latest trends in Azure services, AI technologies, and DevOps practices to recommend innovative solutions.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 Cloud and AI Engineer","City":"Erlanger","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Bachelor\u0027s degree (Masters Degree preferred) in Computer Science, Information Technology, or related fields5+ years of experience in Cloud \u0026 AI2+ years on Generative AI, Experience in integrating AI/ML models into cloud solutions Deep understanding of Azure services, including but not limited to Azure Virtual Machines, Azure Container Apps Environment, Azure Machine Learning, Azure Functions, and Azure Cognitive ServicesExperience working with Generative AI Frameworks such as LangChain, LlamaIndex, etcHands-on experience with IaC tools such as Terraform, ARM templates, or Bicep","Skills":"Proven experience in DevOps practices, including setting up and managing CI/CD pipelines using GitHub Actions or Azure DevOps","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":17.0000,"SalaryLow":13.6000,"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)\/"}
A fortune 100 organization is seeking a Senior Cloud and AI Engineer that will sit onsite in Bengaluru India for a contract to hire position. We are seeking a "Senior Engineer ? Cloud & AI" to drive... the development through deployment of cutting-edge cloud-native AI solutions. This role requires a combination of deep technical expertise in Microsoft Azure, strong DevOps and CI/CD practices, and an engineering mindset focused on delivering impactful and value-centric solutions. The ideal candidate is a collaborative team player who thrives in both research-oriented problem solving and timeline-driven execution. The individual comes with a proven background on deploying Generative AI workloads (LLM?s, LVM?s, TTS, Speech to Text etc.) cloud native, with ?Security by design? using Commercial (for ex: Azure OpenAI), or Open-source (for ex: Llama, Mistral etc.) models.Key Responsibilities:?Drive the design, development, and deployment of cloud-native Generative AI solutions on Microsoft Azure.?Implement and maintain DevOps best practices, including CI/CD pipelines, Infrastructure as Code (IaC), and version control using GitHub or Azure DevOps.?Collaborate with data scientists, AI/ML teams, and business stakeholders to deploy and optimize AI models within cloud-native architectures, ensuring seamless integration and performance at scale.?Drive cloud architecture decisions in partnership with Enterprise Architecture, TechOps, and Cybersecurity functions, ensuring scalability, security, and cost efficiency?Build and manage CI/CD pipelines to streamline the deployment process and ensure rapid delivery of high-quality applications.?Advocate and implement Infrastructure as Code (IaC) to automate infrastructure provisioning, ensuring consistency across environments.?Collaborate closely with cross-functional teams, promoting a culture of teamwork and innovation.?Provide technical leadership, mentoring team members, and fostering a continuous learning environment.?Stay up to date with the latest trends in Azure services, AI technologies, and DevOps practices to recommend innovative solutions.A fortune 100 organization is seeking a Senior Cloud and AI Engineer that will sit onsite in Bengaluru India for a contract to hire position. We are seeking a "Senior Engineer ? Cloud & AI" to drive the development through deployment of cutting-edge cloud-native AI solutions. This role requires a combination of deep technical expertise in Microsoft Azure, strong DevOps and CI/CD practices, and an engineering mindset focused on delivering impactful and value-centric solutions. The ideal candidate is a collaborative team player who thrives in both research-oriented problem solving and timeline-driven execution. The individual comes with a proven background on deploying Generative AI workloads (LLM?s, LVM?s, TTS, Speech to Text etc.) cloud native, with ?Security by design? using Commercial (for ex: Azure OpenAI), or Open-source (for ex: Llama, Mistral etc.) models.Key Responsibilities:?Drive the design, development, and deployment of cloud-native Generative AI solutions on Microsoft Azure.?Implement and maintain DevOps best practices, including CI/CD pipelines, Infrastructure as Code (IaC), and version control using GitHub or Azure DevOps.?Collaborate with data scientists, AI/ML teams, and business stakeholders to deploy and optimize AI models within cloud-native architectures, ensuring seamless integration and performance at scale.?Drive cloud architecture decisions in partnership with Enterprise Architecture, TechOps, and Cybersecurity functions, ensuring scalability, security, and cost efficiency?Build and manage CI/CD pipelines to streamline the deployment process and ensure rapid delivery of high-quality applications.?Advocate and implement Infrastructure as Code (IaC) to automate infrastructure provisioning, ensuring consistency across environments.?Collaborate closely with cross-functional teams, promoting a culture of teamwork and innovation.?Provide technical leadership, mentoring team members, and fostering a continuous learning environment.?Stay up to date with the latest trends in Azure services, AI technologies, and DevOps practices to recommend innovative solutions.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. 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