AI Platform Engineer Jobs in Illinois
AI Platform Engineer jobs in Illinois are in strong and growing demand, concentrated in enterprise technology, financial services, healthcare informatics, and cloud infrastructure, with openings at every level from junior MLOps associate through principal platform architect. Chicago is by far the largest hiring market, with secondary activity in Naperville and Peoria, where companies like Allstate, Motorola Solutions, and Discover Financial have deep engineering footprints across the state. The most sought-after specialties in Illinois listings are LLMOps pipeline development, Kubernetes-based model serving infrastructure, and enterprise AI governance tooling. Find a role that fits below and apply directly.
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Showing 4 of 20+ AI Platform Engineer jobs
Senior AI QA Platform Engineer – Agentic QA Orchestration (Amazon Bedrock)
Company: BONbLOC Technologies
Location: Remote (Candidates must reside in or around Chicago Area, Midwest, New Jersey, or New York)
Role Type: Full-Time / Contract
Seniority Level: Senior Level (7+ Years Experience)
Position Summary
We are seeking a Senior AI QA Platform Engineer to design and implement an enterprise AI-enabled QA Orchestration Platform leveraging Amazon Bedrock, AgentCore, Playwright, AWS CodeBuild, GitHub, Databricks, Jira, and qTest.
This platform will utilize agentic AI workflows to generate and maintain automated tests, orchestrate execution paths, classify test failures, create actionable defects, and provide governance, observability, traceability, and auditability across the QA lifecycle. The ideal candidate combines expertise in software engineering, cloud-native platforms, AI/LLM integration, CI/CD automation, and quality engineering.
Primary Responsibilities
- Agentic AI Orchestration: Design and implement AI-powered QA orchestration workflows using Amazon Bedrock, AgentCore, and Multi-Agent Architectures.
- Autonomous QA Capabilities: Develop agent-based automation capabilities for test generation, self-healing test maintenance, failure classification, defect routing, and test intelligence/analytics.
- Framework & Repository Management: Integrate AI workflows with Playwright frameworks and build automated GitHub branch creation, pull request generation, and repository-aware test generation patterns.
- CI/CD & Quality Gates: Design and implement integrations with AWS CodeBuild and enterprise CI/CD pipelines, incorporating rule-based quality gates and AI-assisted failure analysis.
- Enterprise Platform Integrations: Build integrations with Databricks, Jira, qTest, and GitHub, leveraging Databricks Test Data Management (TDM) and analytics for historical context and failure classification.
- AI Governance & Observability: Design and implement AI governance controls including prompt version control, Model Context Protocol (MCP), approved action policies, audit logging, human-in-the-loop workflows, and AI action traceability.
- Cross-Functional Collaboration: Partner with QA, DevOps, Cloud Engineering, Data Engineering, and Security teams to establish enterprise AI testing standards and platform architecture.
Required Technical Skills
- AI & Agentic Systems: Claude, Prompt Engineering, Agentic AI Workflows, Multi-Agent Architectures, Model Context Protocol (MCP).
- Preferred Agent Frameworks: Strands Agents, Amazon Bedrock, AgentCore.
- Programming & Scripting: TypeScript, Node.js, JavaScript, SQL, REST API Development.
- Cloud & AWS: AWS Services (IAM, CodeBuild, CloudWatch, S3, Secrets Manager, Parameter Store).
- DevOps & CI/CD: GitHub, GitHub Actions, CI/CD Pipelines, Infrastructure as Code (Terraform preferred).
- Automation & Enterprise Tools: Playwright, API Testing, Test Automation Framework Architecture, Test Data Management Concepts, Jira, qTest, Databricks.
Preferred Qualifications
- Experience: 7+ years of software engineering, automation engineering, platform engineering, or cloud engineering experience, with 5+ years designing and implementing enterprise test automation solutions.
- AI & Cloud Mastery: Experience building cloud-native solutions on AWS and integrating AI/LLM capabilities into engineering or developer automation platforms.
- Governance & Analytics: Track record of designing governance, auditability, compliance, and operational controls, as well as working with Databricks, TDM, or analytics-driven automation solutions.
- Location Requirements: Candidates must reside in or around the Chicago Area, Midwest, New Jersey, or New York regions.
- Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience.
Preferred Certifications
- AWS Certified Solutions Architect
- AWS Certified AI Practitioner
- AWS Certified Developer – Associate
- HashiCorp Certified: Terraform Associate
Pay: $95,000.00 - $100,000.00 per year
Work Location: Remote
Senior AI QA Platform Engineer – Agentic QA Orchestration (Amazon Bedrock)
Company: BONbLOC Technologies
Location: Remote (Candidates must reside in or around Chicago Area, Midwest, New Jersey, or New York)
Role Type: Full-Time / Contract
Seniority Level: Senior Level (7+ Years Experience)
Position Summary
We are seeking a Senior AI QA Platform Engineer to design and implement an enterprise AI-enabled QA Orchestration Platform leveraging Amazon Bedrock, AgentCore, Playwright, AWS CodeBuild, GitHub, Databricks, Jira, and qTest.
This platform will utilize agentic AI workflows to generate and maintain automated tests, orchestrate execution paths, classify test failures, create actionable defects, and provide governance, observability, traceability, and auditability across the QA lifecycle. The ideal candidate combines expertise in software engineering, cloud-native platforms, AI/LLM integration, CI/CD automation, and quality engineering.
Primary Responsibilities
- Agentic AI Orchestration: Design and implement AI-powered QA orchestration workflows using Amazon Bedrock, AgentCore, and Multi-Agent Architectures.
- Autonomous QA Capabilities: Develop agent-based automation capabilities for test generation, self-healing test maintenance, failure classification, defect routing, and test intelligence/analytics.
- Framework & Repository Management: Integrate AI workflows with Playwright frameworks and build automated GitHub branch creation, pull request generation, and repository-aware test generation patterns.
- CI/CD & Quality Gates: Design and implement integrations with AWS CodeBuild and enterprise CI/CD pipelines, incorporating rule-based quality gates and AI-assisted failure analysis.
- Enterprise Platform Integrations: Build integrations with Databricks, Jira, qTest, and GitHub, leveraging Databricks Test Data Management (TDM) and analytics for historical context and failure classification.
- AI Governance & Observability: Design and implement AI governance controls including prompt version control, Model Context Protocol (MCP), approved action policies, audit logging, human-in-the-loop workflows, and AI action traceability.
- Cross-Functional Collaboration: Partner with QA, DevOps, Cloud Engineering, Data Engineering, and Security teams to establish enterprise AI testing standards and platform architecture.
Required Technical Skills
- AI & Agentic Systems: Claude, Prompt Engineering, Agentic AI Workflows, Multi-Agent Architectures, Model Context Protocol (MCP).
- Preferred Agent Frameworks: Strands Agents, Amazon Bedrock, AgentCore.
- Programming & Scripting: TypeScript, Node.js, JavaScript, SQL, REST API Development.
- Cloud & AWS: AWS Services (IAM, CodeBuild, CloudWatch, S3, Secrets Manager, Parameter Store).
- DevOps & CI/CD: GitHub, GitHub Actions, CI/CD Pipelines, Infrastructure as Code (Terraform preferred).
- Automation & Enterprise Tools: Playwright, API Testing, Test Automation Framework Architecture, Test Data Management Concepts, Jira, qTest, Databricks.
Preferred Qualifications
- Experience: 7+ years of software engineering, automation engineering, platform engineering, or cloud engineering experience, with 5+ years designing and implementing enterprise test automation solutions.
- AI & Cloud Mastery: Experience building cloud-native solutions on AWS and integrating AI/LLM capabilities into engineering or developer automation platforms.
- Governance & Analytics: Track record of designing governance, auditability, compliance, and operational controls, as well as working with Databricks, TDM, or analytics-driven automation solutions.
- Location Requirements: Candidates must reside in or around the Chicago Area, Midwest, New Jersey, or New York regions.
- Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience.
Preferred Certifications
- AWS Certified Solutions Architect
- AWS Certified AI Practitioner
- AWS Certified Developer – Associate
- HashiCorp Certified: Terraform Associate
Pay: $95,000.00 - $100,000.00 per year
Work Location: Remote
See All 20 AI Platform Engineer Jobs in Illinois
Find roles in Illinois that match your experience and apply in just a few clicks.
Find AI Platform Engineer JobsAI Platform Engineer Jobs by City in Illinois
Where Illinois roles are concentrated, by current openings.
AI Platform Engineer Job Market in Illinois
A snapshot from current Illinois openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
- Healthcare & Medical Services
What Illinois Employers Look For
The qualifications that appear most often in AI platform engineer jobs across Illinois.
- Bachelor's degree in computer science, engineering, or a closely related technical field
- Hands-on experience building and maintaining ML pipelines or model serving infrastructure
- Proficiency with Kubernetes, Docker, and at least one major cloud platform such as AWS, Azure, or GCP
- Familiarity with MLOps frameworks including MLflow, Kubeflow, or Ray for model lifecycle management
- Strong programming skills in Python and experience with workflow orchestration tools like Airflow or Prefect
- Ability to collaborate with data science teams to productionize models and ensure reliability at scale
AI Platform Engineer Jobs in Illinois: Frequently Asked Questions
How do you become an ai platform engineer in Illinois?
Most ai platform engineers in Illinois enter the field through a computer science, software engineering, or data engineering degree, then build hands-on experience with cloud and ML infrastructure on the job or through personal projects. Illinois has no state-issued license for this role. Employers in Chicago's financial and healthcare tech sectors typically look for candidates who can demonstrate working knowledge of containerization, CI/CD pipelines, and model deployment, often validated through cloud certifications from AWS, Google, or Microsoft.
How much do AI platform engineers make in Illinois?
AI platform engineers in Illinois earn a median of about $99,360 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $53,590 for the lowest 10% to over $167,080 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai platform engineers in Illinois?
Employers hiring ai platform engineers in Illinois right now include CVS Health, Stellar Solutions, and Scigon, based on current listings on Migrate Mate as of August 2026. Illinois's dense concentration of Fortune 500 headquarters and large financial services firms means demand is consistent year-round rather than tied to seasonal hiring cycles.
Which Illinois cities have the most ai platform engineer jobs?
Chicago, Illinois, and Aurora have the most ai platform engineer openings in Illinois. Chicago dominates the market because it hosts the corporate headquarters and major engineering centers of leading financial, insurance, and healthcare technology employers, while Naperville and other suburban corridors benefit from the technology campuses and managed services firms that have expanded outside the city.
Are there remote ai platform engineer jobs in Illinois?
Yes, and more than most fields. About 86% of ai platform engineer openings tied to Illinois are remote or hybrid as of August 2026, reflecting how central this work is to distributed engineering organizations. The parts of the role most likely to stay fully remote are pipeline development, infrastructure-as-code work, and model monitoring, while on-site presence is more common when the role involves embedded collaboration with data science or product teams.
How can I get hired as an ai platform engineer in Illinois with little or no experience?
The most realistic entry path is through a junior MLOps, cloud infrastructure associate, or platform engineering apprentice role, which large Illinois employers in insurance and healthcare technology regularly post for candidates without direct industry experience. Building a portfolio that shows a working model deployment pipeline on a public cloud platform gives candidates a concrete edge. Adjacent roles like data engineer, DevOps engineer, or software engineer in Python are common lateral moves into AI platform work at Illinois firms.
Where can I find and apply to ai platform engineer jobs in Illinois?
You can find and apply to ai platform engineer jobs in Illinois on Migrate Mate, which lists current openings tied to Illinois employers. Search the available roles, find ones that match your background and location preference, and apply directly to the ones that fit.
See All 20 AI Platform Engineer Jobs in Illinois
Find roles in Illinois that match your experience and apply in just a few clicks.
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