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Jun 12, 2026

Chandler, AZ

|

Programmer / Developer

|

Contract

|

$62 - $77 (hourly estimate)

{"JobID":540824,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-111.87,"Longitude":33.32,"Distance":null},"State":"Arizona","Zip":"85224","ReferenceID":"CLT-26246981-6ab1-4cbe-bbba-e234567b9348","PostedDate":"\/Date(1781229570000)\/","Description":"Insight Global is seeking a Kubernetes AI Engineer for a leading enterprise client in the technology space. This role will focus on designing, building, and optimizing scalable AI platform infrastructure that supports end-to-end machine learning workflows, including model development, training, and inference. The ideal candidate brings deep Kubernetes and containerization expertise, along with a strong foundation in Linux systems and platform engineering. They will play a key role in driving performance, security, automation, and observability across enterprise AI environments, while partnering closely with cross-functional teams to deliver resilient, compliant, and high-performing platform solutions.Day-to-Day:?Design and engineer Kubernetes-based AI platform infrastructure supporting model development, training, and inference?Build and manage containerized environments using Docker, Kubernetes, Operators, and Helm?Optimize cluster performance, workload placement, scalability, and resource utilization?Implement enterprise-grade security and compliance controls across Kubernetes environments?Develop and maintain observability frameworks (monitoring, logging, alerting, dashboards)?Automate deployment, configuration, patching, and platform operations using scripting and IaC?Collaborate with AI/ML engineers, data scientists, DevOps, and infrastructure teams to deliver scalable solutions?Translate business and technical requirements into platform architecture?Create and maintain architecture documentation, runbooks, and operational standards?Troubleshoot and resolve platform issues in complex enterprise environmentsWe 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":"Kubernetes AI Engineer","City":"Chandler","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?5+ years of experience in Kubernetes, container platform engineering, Linux systems, or AI/ML infrastructure in enterprise environments?Strong expertise in Kubernetes architecture, cluster deployment, orchestration, and lifecycle management?Hands-on experience with Docker, container runtimes, Operators, and Helm charts?Experience designing and engineering Kubernetes-based AI platform infrastructure for model development, training, and inference?Strong Linux administration and troubleshooting skills across compute, networking, and storage layers?Proficiency in Python, shell scripting, YAML, and JSON for automation and platform engineering?Experience implementing security controls (RBAC, network policies, pod security, secrets management)?Experience with observability and monitoring tools such as Prometheus, Grafana, and logging frameworks?Experience optimizing clusters for performance, scalability, resiliency, and resource utilization?Familiarity with CI/CD, GitOps, infrastructure automation, and environment standardization practices?Experience supporting AI/ML platforms, model deployment pipelines, or GPU-enabled workloads?Strong problem-solving and analytical skills in complex environments?Clear written and verbal communication skills?Strong collaboration skills across cross-functional teams (AI/ML, DevOps, Infrastructure)?Strong documentation discipline and operational rigor?Self-starter mindset with accountability and continuous improvement focus","Skills":"?Kubernetes certifications (CKA, CKAD)?Understanding of vulnerability management, enterprise controls, and remediation practices?Experience building agentic AI solutions in enterprise environments?Familiarity with Copilot Studio for app development?Experience with AI/ML frameworks and model-serving platforms (PyTorch, TensorFlow, Triton, vLLM)?Familiarity with GPU platforms and NVIDIA software stack?Experience with OpenShift, hybrid cloud, or enterprise platform modernization initiatives","Industry":"Programmer / Developer","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":77.3700,"SalaryLow":61.8960,"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 Kubernetes AI Engineer for a leading enterprise client in the technology space. This role will focus on designing, building, and optimizing scalable AI platform... infrastructure that supports end-to-end machine learning workflows, including model development, training, and inference. The ideal candidate brings deep Kubernetes and containerization expertise, along with a strong foundation in Linux systems and platform engineering. They will play a key role in driving performance, security, automation, and observability across enterprise AI environments, while partnering closely with cross-functional teams to deliver resilient, compliant, and high-performing platform solutions.Day-to-Day:?Design and engineer Kubernetes-based AI platform infrastructure supporting model development, training, and inference?Build and manage containerized environments using Docker, Kubernetes, Operators, and Helm?Optimize cluster performance, workload placement, scalability, and resource utilization?Implement enterprise-grade security and compliance controls across Kubernetes environments?Develop and maintain observability frameworks (monitoring, logging, alerting, dashboards)?Automate deployment, configuration, patching, and platform operations using scripting and IaC?Collaborate with AI/ML engineers, data scientists, DevOps, and infrastructure teams to deliver scalable solutions?Translate business and technical requirements into platform architecture?Create and maintain architecture documentation, runbooks, and operational standards?Troubleshoot and resolve platform issues in complex enterprise environmentsWe 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/.

Apr 02, 2026

Irving, TX

|

Programmer / Developer

|

Perm

|

$120k - $125k (estimate)

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As a Staff Engineer I embedded in the Enterprise Data & Analytics function, you will be responsible for delivery and operations of technologies and platforms required to model, transform, analyze,... report, visualize data. You'll work in a mid-level role with proficiency needed in building, optimizing, streamlining and automating the Azure Databricks platform to enable analytical workloads like Machine learning (ML), Model Development, Data Insights, Data Science etc. As a Staff Engineer I, you will partner with ML engineers, data scientists, data analysts, and enterprise architects to enforce best practices, train and enable users using the Azure Databricks platform.-Take assignments that can be worked on individually without supervision and manage work effort from concept to completion.-Build, optimize and maintain the Azure Databricks platform, ensuring scalability, security, governance and performance.-Implement and manage Azure Databricks workspaces, clusters, jobs, access management.-Implement and manage policies, monitoring and observability for the Azure Databricks platform.-Ensure compliance with IT policies, procedures, and industry standards, including reviewing and refining IT control enhancements.-Work closely with business and analytics teams to ensure reliable and governed data access for data needed for analytics.-Troubleshoot platform issues, optimize performance, and ensure uptime for critical Databricks services.-Stay current on emerging data analytics technologies, recommending enhancements to improve efficiency and governance.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/.

Jun 18, 2026

Warren, MI

|

Engineering (Non IT)

|

Contract

|

$62 - $77 (hourly estimate)

{"JobID":543617,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-83.02,"Longitude":42.49,"Distance":null},"State":"Michigan","Zip":"48093","ReferenceID":"MIC-de533472-8357-4ed2-9efd-d350ec98d611","PostedDate":"\/Date(1781806506000)\/","Description":"We are seeking an experienced AI/ML Engineer with deep expertise in manufacturing systems and production AI to drive the next generation of intelligent manufacturing solutions. In this role, you will be responsible for designing, building, and deploying advanced AI/ML systems specifically tailored for manufacturing operations. You will leverage Domain-Specific LoRA fine-tuning, multi-modal AI models, and enterprise-grade infrastructure to solve complex manufacturing challenges across GM\u0027s global production facilities. This role requires hands-on technical execution combined with the ability to architect scalable, production-ready AI solutions that directly impact manufacturing efficiency, quality, and innovation.Success in this role requires a unique blend of AI/ML expertise, manufacturing domain knowledge, and systems engineering excellence. You will work at the intersection of cutting-edge AI technology and real-world manufacturing operations, collaborating with plant engineers, quality teams, robotics specialists, and IT infrastructure teams to digitize Manufacturing.What You\u0027ll Do:?Design and implement Domain-Specific LoRA fine-tuning architectures for manufacturing AI applications, including quality inspection, predictive maintenance, process optimization, and robotics control?Develop and deploy multi-modal AI systems that integrate machine vision, controls system, robotics controls, and production telemetry for real-time manufacturing intelligence?Build production-grade ML infrastructure supporting model training, fine-tuning, deployment, and monitoring across distributed manufacturing environments?Architect and develop full-stack AI applications using React/TypeScript frontend with custom state management and FastAPI backend with async patterns and optimized request routing?Implement high-performance database solutions using PostgreSQL with pgvector optimization for embedding storage, query performance tuning, and distributed architectures?Deploy and orchestrate AI services using Kubernetes with service mesh implementation, automated scaling strategies, and comprehensive monitoring and alerting?Develop proprietary embedding models optimized for manufacturing domain knowledge, including defect patterns, assembly sequences, and process parameters?Optimize CUDA kernels and implement parameter-efficient training techniques for large-scale model fine-tuning on manufacturing datasets?Design and build machine vision systems for automated quality inspection, defect detection, and process verification?Train and deploy supervised learning models for robotics control and manufacturing execution system integration, enabling autonomous operations across production lines?Collaborate with cross-functional teams including manufacturing engineers, quality specialists, robotics teams, and plant operations to deliver measurable improvements in production metrics?Establish MLOps best practices including CI/CD pipelines, model versioning, A/B testing, and performance monitoring for manufacturing AI deploymentsCompensation Starting At: $30/hr. Exact 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":"AI/ML Software Engineer","City":"Warren","ExpirationDate":null,"PriorityOrder":0,"Requirements":"3+ years of experience developing AI/ML applicationsExperience developing an AI application from scratch on a cloud based platform 3 +years of experience programming in python","Skills":"Programming an AI application for manufacturing","Industry":"Engineering (Non IT)","Country":"US","Division":"AF\u0026E","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":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)\/"}

We are seeking an experienced AI/ML Engineer with deep expertise in manufacturing systems and production AI to drive the next generation of intelligent manufacturing solutions. In this role, you will... be responsible for designing, building, and deploying advanced AI/ML systems specifically tailored for manufacturing operations. You will leverage Domain-Specific LoRA fine-tuning, multi-modal AI models, and enterprise-grade infrastructure to solve complex manufacturing challenges across GM's global production facilities. This role requires hands-on technical execution combined with the ability to architect scalable, production-ready AI solutions that directly impact manufacturing efficiency, quality, and innovation.Success in this role requires a unique blend of AI/ML expertise, manufacturing domain knowledge, and systems engineering excellence. You will work at the intersection of cutting-edge AI technology and real-world manufacturing operations, collaborating with plant engineers, quality teams, robotics specialists, and IT infrastructure teams to digitize Manufacturing.What You'll Do:?Design and implement Domain-Specific LoRA fine-tuning architectures for manufacturing AI applications, including quality inspection, predictive maintenance, process optimization, and robotics control?Develop and deploy multi-modal AI systems that integrate machine vision, controls system, robotics controls, and production telemetry for real-time manufacturing intelligence?Build production-grade ML infrastructure supporting model training, fine-tuning, deployment, and monitoring across distributed manufacturing environments?Architect and develop full-stack AI applications using React/TypeScript frontend with custom state management and FastAPI backend with async patterns and optimized request routing?Implement high-performance database solutions using PostgreSQL with pgvector optimization for embedding storage, query performance tuning, and distributed architectures?Deploy and orchestrate AI services using Kubernetes with service mesh implementation, automated scaling strategies, and comprehensive monitoring and alerting?Develop proprietary embedding models optimized for manufacturing domain knowledge, including defect patterns, assembly sequences, and process parameters?Optimize CUDA kernels and implement parameter-efficient training techniques for large-scale model fine-tuning on manufacturing datasets?Design and build machine vision systems for automated quality inspection, defect detection, and process verification?Train and deploy supervised learning models for robotics control and manufacturing execution system integration, enabling autonomous operations across production lines?Collaborate with cross-functional teams including manufacturing engineers, quality specialists, robotics teams, and plant operations to deliver measurable improvements in production metrics?Establish MLOps best practices including CI/CD pipelines, model versioning, A/B testing, and performance monitoring for manufacturing AI deploymentsCompensation Starting At: $30/hr. Exact 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/.

Apr 02, 2026

Phoenix, AZ

|

Database Administrator (DBA)

|

Perm

|

$150k - $155k (estimate)

{"JobID":514689,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-112.07,"Longitude":33.44,"Distance":null},"State":"Arizona","Zip":"85004","ReferenceID":"PHX-22055346-309d-4347-9ed7-095533643342","PostedDate":"\/Date(1775170968000)\/","Description":"As a Principal Engineer I embedded in the Enterprise Data \u0026 Analytics function, you will be responsible for delivery and operations of technologies and platforms required to model, transform, analyze, report, visualize data. You\u0027ll provide SME expertise in designing, building, optimizing, streamlining and automating the Azure Databricks platform to enable analytical workloads like Machine Learning (ML), Model Development, Data Insights, Data Science etc. As a Principal Engineer I, you will partner with ML engineers, data scientists, data analysts, and enterprise architects to provide frameworks, set standards, enforce best practices, train and enable users using the Azure Databricks platform. In this role, you\u0027ll develop technical skills of one or more junior team-members.-Take assignments that can be worked on individually without supervision, and manage work effort from concept to completion.-Design, build, optimize, automate and maintain the Azure --Databricks platform, ensuring scalability, security, governance and performance.-Design, implement and manage Azure Databricks workspaces, clusters, jobs, access management.-Design, implement and manage policies, monitoring and observability for the Azure Databricks platform.-Implement data analytics principles aimed at business enablement, reliability practices and sound recovery procedures.-Ensure compliance with IT policies, procedures, and industry standards, including reviewing and refining IT control enhancements.-Work closely with business and analytics teams to ensure reliable and governed data access for data needed for -analytics.-Troubleshoot platform issues, optimize performance, and ensure uptime for critical Databricks services.-Stay current on emerging data analytics technologies, recommending enhancements to improve efficiency and governance.-Act as a thought leader on Azure Databricks implementation, usage, end user enablement and training.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 - Sr. Azure Databricks","City":"Phoenix","ExpirationDate":null,"PriorityOrder":0,"Requirements":"-8+ years of related experience in data analytics administration and development.-4+ years of Databricks related experience.-Bachelor\u0027s degree in related field required, Masters in related field preferred.-Previous leadership experience preferred.-Advanced proven experience in Azure Databricks (Workspace management, Clusters, Jobs, Unity Catalog, Delta Lake, User access management, Rest APIs and SDKs).-Knowledge of MLFlow \u0026 MLOps.-Deep understanding of Azure infrastructure and data services, including Azure Data Lake, Azure Data Factory, Azure SQL, Azure Synapse Analytics, Azure Key Vault, Azure Monitor, networking-Experience with CI/CD pipelines (Azure DevOps preferred)-Strong programming skills in SQL, Python, and/or PySpark.-Advanced proven experience in leading cross-functional teams and managing multiple projects simultaneously.-Advanced ability to see the big picture and align projects with organizational goals. Capable of leading and motivating cross-functional teams. Expertise in resolving conflicts and addressing challenges as well as skilled at identifying and mitigating risks at the project level.-Advanced communication skills, excellent teamwork experience, ability to mentor and develop more junior engineers.","Skills":"-Advanced to expert knowledge of general Financial Services or Banking preferred.","Industry":"Database Administrator (DBA)","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":155000.0000,"SalaryLow":150000.0000,"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)\/"}

As a Principal Engineer I embedded in the Enterprise Data & Analytics function, you will be responsible for delivery and operations of technologies and platforms required to model, transform,... analyze, report, visualize data. You'll provide SME expertise in designing, building, optimizing, streamlining and automating the Azure Databricks platform to enable analytical workloads like Machine Learning (ML), Model Development, Data Insights, Data Science etc. As a Principal Engineer I, you will partner with ML engineers, data scientists, data analysts, and enterprise architects to provide frameworks, set standards, enforce best practices, train and enable users using the Azure Databricks platform. In this role, you'll develop technical skills of one or more junior team-members.-Take assignments that can be worked on individually without supervision, and manage work effort from concept to completion.-Design, build, optimize, automate and maintain the Azure --Databricks platform, ensuring scalability, security, governance and performance.-Design, implement and manage Azure Databricks workspaces, clusters, jobs, access management.-Design, implement and manage policies, monitoring and observability for the Azure Databricks platform.-Implement data analytics principles aimed at business enablement, reliability practices and sound recovery procedures.-Ensure compliance with IT policies, procedures, and industry standards, including reviewing and refining IT control enhancements.-Work closely with business and analytics teams to ensure reliable and governed data access for data needed for -analytics.-Troubleshoot platform issues, optimize performance, and ensure uptime for critical Databricks services.-Stay current on emerging data analytics technologies, recommending enhancements to improve efficiency and governance.-Act as a thought leader on Azure Databricks implementation, usage, end user enablement and training.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 25, 2026

Denver, CO

|

Mechanical Engineering

|

Perm

|

$80k - $100k (estimate)

{"JobID":499215,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-104.87,"Longitude":39.76,"Distance":null},"State":"Colorado","Zip":"80202","ReferenceID":"CLT-7530131e-de9b-4977-ab46-9ea957460c21","PostedDate":"\/Date(1772024787000)\/","Description":"Job Description/Company Description: CIM is a SaaS company in the commercial properties space. They?ve developed a software that utilizes AI/machine learning to analyze data obtained from various building management systems and platforms and analyzes the data to look for faults and inefficiencies. They then can you use that to create actionable insights in the hands of building managers. This role will ultimately partner with clients to drive the enablement of that software as applied to their specific needs. We are looking for a candidate who understands the complex technical systems, both software and building management systems and can balance both the customer/client facing aspect with the engineering side of it. 4 days a week on site in Denver office. Training will be 3-4 weeks in Sydney, Australia. Job Description: As a Customer Success Engineer, you?ll work alongside a Customer Success Manager where your primary objective will be to deliver an unparalleled customer experience with our new logo clients, with an aim to expedite the adoption of our platform and seamlessly transition our clients from initial pilot engagement to a full-scale implementation across their entire portfolio, or their client?s portfolio of buildings.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":"Customer Success Engineer","City":"Denver","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Degree in in Electrical/Mechanical/Mechatronic/BMS engineering (or a similar field) 2-5 years experience in the HVAC industry Familiar with Building Management System (BMS) and knowledge of building services Experience being in a customer facing role Proven experience of working in a fast-paced environment Competitive and achievement oriented Excellent oral and written communication skillsWillingness to travel to client sites. (Valid drivers license and ability for air travel required)","Skills":"Experience with energy analysisExperience of working with High tech manufacturing sector Familiar with thermodynamic and heat transfer principles Knowledge of building rating systems","Industry":"Mechanical Engineering","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":100000.0000,"SalaryLow":80000.0000,"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)\/"}

Job Description/Company Description: CIM is a SaaS company in the commercial properties space. They?ve developed a software that utilizes AI/machine learning to analyze data obtained from various... building management systems and platforms and analyzes the data to look for faults and inefficiencies. They then can you use that to create actionable insights in the hands of building managers. This role will ultimately partner with clients to drive the enablement of that software as applied to their specific needs. We are looking for a candidate who understands the complex technical systems, both software and building management systems and can balance both the customer/client facing aspect with the engineering side of it. 4 days a week on site in Denver office. Training will be 3-4 weeks in Sydney, Australia. Job Description: As a Customer Success Engineer, you?ll work alongside a Customer Success Manager where your primary objective will be to deliver an unparalleled customer experience with our new logo clients, with an aim to expedite the adoption of our platform and seamlessly transition our clients from initial pilot engagement to a full-scale implementation across their entire portfolio, or their client?s portfolio of buildings.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/.

Apr 15, 2026

Raleigh, NC

|

Software Engineering

|

Contract

|

$56 - $70 (hourly estimate)

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You will work heavily in Python, support AI/agent deployments in AWS, and partner closely with platform, SRE, and DevOps teams to maintain highly available systems through strong CI/CD and operational practices.Responsibilities include:?Design, develop, and deliver scalable solutions that integrate data, machine learning, and application logic?Build and enhance AI-driven capabilities, including agentic workflows, LLM-based applications, and intelligent automation systems?Develop and deploy solutions on AWS, ensuring scalability, reliability, and cost efficiency?Contribute to platform engineering efforts, including improving developer experience, deployment pipelines, and infrastructure reuse?Translate business problems into end-to-end solutions, including data exploration, feature engineering, modeling, and system integration?Contribute to system and solution architecture to ensure scalability, reliability, and maintainability?Partner with product, engineering, and business stakeholders to define and deliver impactful solutions?Lead or contribute to moderately complex, cross-functional initiatives?Write and review detailed technical specifications for system and data components?Ensure adherence to best practices across coding, testing, data quality, and deployment?Resolve complex technical and data-related issues across systems and models?Mentor junior and mid-level team members across development, data, and AI practices?Collaborate with internal and external technology resources to deliver solutions?Stay current with emerging technologies in AI, cloud, and software systems, and recommend adoption where appropriate?Support continuous improvement of development processes, data pipelines, and platform capabilities?Serve as a key technical contributor and escalation point within the 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":"Senior Data Scientist II (AI, Data \u0026 Software Systems)","City":"Raleigh","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?7+ years of experience building and delivering production-grade software, data, or AI solutions?2?3 years of hands-on experience in AI/ML systems, including agentic workflows, LLM integrations, or intelligent automation?Hands-on experience with AWS cloud services and cloud-native architectures-Strong understanding of production CI/CD pipelines, with experience using Azure DevOps and/or Jenkins.-Experience operating and supporting applications in an AWS cloud environment.-Proven experience troubleshooting production systems, including distributed services and cloud-based architectures.?BS in Engineering, Computer Science, Data Science, or related field required","Skills":"advanced degree preferred","Industry":"Software Engineering","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":70.0000,"SalaryLow":56.0000,"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)\/"}

A client in the Raleigh area is seeking an experienced Data Scientist (AI, Data & Software Systems) to join a production support engineering team responsible for the reliability, stability, and... performance of AI-driven and agentic systems operating at scale. This role focuses on supporting production AI services, responding to incidents, improving system resilience, and ensuring AI/LLM workflows run reliably in a regulated, enterprise environment. You will work heavily in Python, support AI/agent deployments in AWS, and partner closely with platform, SRE, and DevOps teams to maintain highly available systems through strong CI/CD and operational practices.Responsibilities include:?Design, develop, and deliver scalable solutions that integrate data, machine learning, and application logic?Build and enhance AI-driven capabilities, including agentic workflows, LLM-based applications, and intelligent automation systems?Develop and deploy solutions on AWS, ensuring scalability, reliability, and cost efficiency?Contribute to platform engineering efforts, including improving developer experience, deployment pipelines, and infrastructure reuse?Translate business problems into end-to-end solutions, including data exploration, feature engineering, modeling, and system integration?Contribute to system and solution architecture to ensure scalability, reliability, and maintainability?Partner with product, engineering, and business stakeholders to define and deliver impactful solutions?Lead or contribute to moderately complex, cross-functional initiatives?Write and review detailed technical specifications for system and data components?Ensure adherence to best practices across coding, testing, data quality, and deployment?Resolve complex technical and data-related issues across systems and models?Mentor junior and mid-level team members across development, data, and AI practices?Collaborate with internal and external technology resources to deliver solutions?Stay current with emerging technologies in AI, cloud, and software systems, and recommend adoption where appropriate?Support continuous improvement of development processes, data pipelines, and platform capabilities?Serve as a key technical contributor and escalation point within the 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/.

May 29, 2026

Washington, DC

|

System Administrator

|

Contract

|

$41 - $51 (hourly estimate)

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The Cyber Security Analyst will actively participate in developing, implementing, and maintaining cybersecurity policies, procedures, and standards. The Analyst will perform risk assessments, audits,... and compliance reviews; maintain documentation; and assist with information security controls?particularly penetration testing, disaster recovery, and incident response. ?Complete client-provided security questionnaires by drawing on established firm precedent and prior responses to ensure accuracy, consistency, and efficiency; maintain organized records of submissions for future reference.??Organize and deliver compliance training and awareness initiatives; monitor participation and results; report to leadership and support follow-up for non-compliance.?Assist in monitoring and enforcing compliance with cybersecurity governance frameworks (e.g., ISO 27001, ISO 42001, NIST) and organizational policies; support audits and assessments.?Document and track compliance activities (risk assessments, policy reviews, audit evidence); participate in training and awareness programs to promote compliance culture.?Support the ongoing improvement of cybersecurity governance processes; provide feedback and assist with policy updates to ensure alignment with legal and regulatory requirements.?Support the use and implementation of AI and machine learning tools for compliance gap identification, risk assessments, and GRC monitoring; collaborate on AI-driven solutions for policy violation detection and compliance reporting.?2?5 years or more supporting information security in large, complex environments with significant log analysis responsibilities; or equivalent combination of education and experience.Targeting $40-65 an hour.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/.

May 28, 2026

Toronto, ON

|

Architect

|

Contract-to-perm

|

$79 - $99 (hourly estimate)

{"JobID":535182,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":0,"Longitude":0,"Distance":null},"State":"Ontario","Zip":"M5X 1","ReferenceID":"TOR-d55e6188-5ad8-4864-90c1-cc457b50e723","PostedDate":"\/Date(1779992475000)\/","Description":"Insight Global is seeking a Senior Data Architect / Data Analytics Leader to join a leading financial services organization supporting a high-impact Wealth Management Intelligent Data Platform (IDP) initiative. This individual will lead the design, modernization, and delivery of enterprise-scale data and analytics solutions, driving AI-enabled transformation across wealth and investment domains.This is a high-visibility leadership role requiring both deep technical expertise and the ability to confidently engage stakeholders and lead a global team. The ideal candidate is a strong communicator, collaborative leader, and strategic thinker who can drive results without being overly abrasive or confrontational.Key Responsibilities? Define and execute enterprise data strategy aligned to wealth management and digital transformation goals? Design scalable, secure data architectures and modernize legacy platforms using AWS? Build and oversee ETL/ELT pipelines using AWS Glue, PySpark, Spark SQL, and Python? Lead large-scale data integration, migration, and data platform development (data lakes/warehouses)? Develop and deploy advanced analytics, machine learning models, and AI-driven solutions? Establish data governance, quality, security, and compliance frameworks? Optimize data pipelines and system performance for scalability and efficiency? Lead and mentor global data teams (30+), driving delivery of the Wealth IDP workstream? Partner with business stakeholders and executives to deliver data solutions aligned to business needsWe 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 Architecture Lead","City":"Toronto","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 10+ years of experience in data architecture and analytics leadership roles? Proven experience leading large-scale data platform implementations (AWS-based)? Strong hands-on expertise with:? AWS Glue, Spark / PySpark, Spark SQL? Python? Data lakes and warehouse architectures? Experience leading enterprise data modernization programs? Prior experience in Wealth Management or Financial Services? Demonstrated ability to lead large, global teams and complex initiatives? Excellent communication skills with confidence in presentations and stakeholder engagement","Skills":"? Exposure to Intelligent Data Platforms (IDP) or similar enterprise data programs? Background in investment products, digital onboarding, or financial analytics","Industry":"Architect","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":99.0000,"SalaryLow":79.2000,"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)\/"}

Insight Global is seeking a Senior Data Architect / Data Analytics Leader to join a leading financial services organization supporting a high-impact Wealth Management Intelligent Data Platform (IDP)... initiative. This individual will lead the design, modernization, and delivery of enterprise-scale data and analytics solutions, driving AI-enabled transformation across wealth and investment domains.This is a high-visibility leadership role requiring both deep technical expertise and the ability to confidently engage stakeholders and lead a global team. The ideal candidate is a strong communicator, collaborative leader, and strategic thinker who can drive results without being overly abrasive or confrontational.Key Responsibilities? Define and execute enterprise data strategy aligned to wealth management and digital transformation goals? Design scalable, secure data architectures and modernize legacy platforms using AWS? Build and oversee ETL/ELT pipelines using AWS Glue, PySpark, Spark SQL, and Python? Lead large-scale data integration, migration, and data platform development (data lakes/warehouses)? Develop and deploy advanced analytics, machine learning models, and AI-driven solutions? Establish data governance, quality, security, and compliance frameworks? Optimize data pipelines and system performance for scalability and efficiency? Lead and mentor global data teams (30+), driving delivery of the Wealth IDP workstream? Partner with business stakeholders and executives to deliver data solutions aligned to business needsWe 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/.

May 19, 2026

Milpitas, CA

|

Engineering (Non IT)

|

Contract,Perm Possible

|

$54 - $68 (hourly estimate)

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We are searching for a high-energy, motivated Electromechanical Engineer to join our Life Sciences client?s growing Supply Chain Engineering group. This individual will bring their expertise and... aptitude to learn to the team onsite daily. The role involves collaborating cross-functionally with teams like manufacturing, quality, R&D, etc., to investigate non-conforming materials and escalations around part failure.Day-to-Day Responsibilities:- Investigate non-conforming materials and escalations around part failure.- Collaborate with cross-functional teams including manufacturing, quality, and R&D.- Utilize SolidWorks for GD&T drawings.- Apply Change Controls using tools like Agile, Windchill, Arena.- Engage in continuous learning and bring a high level of energy and motivation to the 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/.

May 14, 2026

West Hollywood, CA

|

Managerial / Professional

|

Perm

|

$128k - $160k (estimate)

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Insight Global is seeking a Legal Engineer to bridge the gap between legal expertise and technology for our client in West Hollywood, California. This role is ideal for someone who understands legal... workflows and is passionate about building scalable, tech-enabled solutions that enhance efficiency, reduce costs, and modernize legal operations. As a Legal Engineer, you will partner closely with attorneys, legal operations, and technical teams to design and implement automated workflows, deploy LegalTech tools, and integrate AI-driven solutions. Your work will directly impact how legal services are delivered?freeing up legal professionals to focus on high-value, strategic work.Main responsibilities include:?Workflow Design & Automation: Map and build automated workflows for tasks.?Process Optimization: Analyze existing legal processes to identify inefficiencies; redesign them to be more streamlined and user-friendly.?Legal Technology Implementation: Research, evaluate, and integrate tools including document automation platforms.?Legal Operations Support: Collaborate with ops teams to reduce costs and align legal processes with business goals.?AI & Innovation: Integrate AI-powered tools into daily workflows; test and introduce emerging technologies such as machine learning and natural language processing.?Risk & Compliance Tooling: Build tools that improve data accuracy and visibility into legal risk and compliance obligations across multiple jurisdictions.?Change Management: Lead adoption of new tools and processes across the team, translating technical solutions for non-technical stakeholders.?Cross-functional Collaboration: Work alongside law firm staff, developers, product managers, and legal ops professionals to build integrated, strategic legal systems.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/.

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