Note: The job is a remote job and is open to candidates in USA. Kforce Inc. is seeking a Senior AI QA Platform Engineer for a client in Chicago, Illinois. The Engineer will design and implement an enterprise AI-enabled QA orchestration platform using agentic AI workflows, cloud-native services, test automation frameworks, and CI/CD integrations. The role will develop automated test generation and maintenance, failure analysis, defect routing, governance, observability, and integrations with enterprise engineering platforms.
Responsibilities
- Design and implement AI-powered QA orchestration workflows using Amazon Bedrock and AgentCore
- Develop agent-based automation capabilities for: - Test generation - Test maintenance - Failure classification - Defect routing - Test intelligence and analytics
- Integrate AI workflows with Playwright automation frameworks and repository-aware test generation patterns
- Build automated GitHub branch creation, pull request generation, and repository management capabilities
- Design and implement integrations with AWS CodeBuild and enterprise CI/CD pipelines
- Develop rule-based quality gates and AI-assisted failure analysis workflows
- Build integrations with Databricks, Jira, qTest, and GitHub
Skills
- • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience
- • 7+ years of software engineering, automation engineering, platform engineering, or cloud engineering experience
- • 5+ years designing and implementing enterprise test automation solutions
- • Experience building cloud-native solutions on AWS
- • Experience integrating AI/LLM capabilities into engineering or automation platforms
- • Experience developing CI/CD pipelines, automation frameworks, and developer platforms
- • Experience designing governance, auditability, compliance, and operational controls
- • Experience with Databricks, Test Data Management (TDM), or analytics-driven automation solutions
- • Experience implementing Infrastructure as Code using Terraform
- • Required Technical Skills AI & Agentic Systems: Claude, Prompt Engineering, Agentic AI Workflows, Multi-Agent Architectures, MCP (Model Context Protocol)
- • AWS Certified Solutions Architect
- • AWS Certified AI Practitioner HashiCorp Terraform Associate
- • AWS Certified Developer Associate
- • Strands Agents, Amazon Bedrock, AgentCore
- • Programming: TypeScript, Node.js, JavaScript, SQL, REST API Development
- • Cloud & AWS: AWS, IAM, CodeBuild, CloudWatch, S3, Secrets Manager, Parameter Store
- • DevOps & CI/CD: GitHub, GitHub Actions, CI/CD Pipelines, Infrastructure as Code (Terraform preferred)
- • Automation: Playwright, API Testing, Test Automation Framework Architecture, Test Data Management Concepts
- • Enterprise Platforms: Jira, qTest, Databricks
Benefits
- Medical, dental, and vision insurance for eligible employees
- Health Savings Account (HSA) for eligible employees
- Flexible Spending Account (FSA) for eligible employees
- 401(k) for eligible employees
- Life, disability, and ADD insurance for eligible employees
- Salaried personnel receive paid time off
- Hourly employees on a Service Contract Act project are eligible for paid sick leave
Company Overview
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