Senior AI QA Platform Engineer
Company: BONbLOC
Location: Chicago, IL (Remote)
Salary: $95,000 - $100,000 a year
Type: Full-time
Remote: Yes
Posted: 2026-08-12
About this role
*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 & Observab...