Note: The job is a remote job and is open to candidates in USA. Next Gen IT, Inc. is seeking a Senior AI QA Platform Engineer to build an enterprise AI-enabled QA orchestration platform. The role focuses on agentic AI workflows for test generation, maintenance, execution, failure classification, defect routing, governance, observability, and integrations across AWS, CI/CD, testing, data, and enterprise 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
- Leverage Databricks TDM and analytics to provide historical context and intelligent failure classification
- Design and implement AI governance controls including: - Prompt version control - Approved action policies - Audit logging - Human-in-the-loop workflows - AI action traceability
- Develop observability, monitoring, and operational reporting capabilities
- Collaborate with QA, DevOps, Cloud Engineering, Data Engineering, and Security teams to establish enterprise AI testing standards and platform architecture
Skills
- Platform Engineering experience building internal platforms, automation platforms, developer tooling, or cloud-native solutions
- Strong TypeScript/Node.js and/or Python engineering experience
- Cloud & CI/CD Engineering experience , including hands-on AWS and Infrastructure as Code (Terraform preferred)
- AI / LLM Integration experience , including building AI-powered systems that interact with external tools, APIs, repositories, or enterprise platforms through multi-step workflows
- Remote -EST/CST
- Exp: 15+yrs
- Need to come to chicago for day 1 to pick up laptop
- Claude, Prompt Engineering, Agentic AI Workflows, Multi-Agent Architectures, MCP (Model Context Protocol)
- TypeScript, Node.js, JavaScript, SQL, REST API Development
- AWS, IAM, CodeBuild, CloudWatch, S3, Secrets Manager, Parameter Store
- GitHub, GitHub Actions, CI/CD Pipelines, Infrastructure as Code (Terraform preferred)
- Playwright, API Testing, Test Automation Framework Architecture, Test Data Management Concepts
- Jira, qTest, Databricks
- Preferred Framework Experience: Strands Agents, Amazon Bedrock, AgentCore
- 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
- AWS Certified Solutions Architect
- AWS Certified AI Practitioner
- HashiCorp Terraform Associate
- AWS Certified Developer – Associate
Benefits
- Remote work (EST/CST)
- Company-provided laptop, with pickup required in Chicago on day 1
Company Overview