Product-Aligned Agentic Quality Engineering Lead (Automation & Agentic AI)
Job Description
We are hiring a senior Quality Engineering leader who owns end-to-end quality, release sign-off, and automation strategy across our...
Job Description
We are hiring a senior Quality Engineering leader who owns end-to-end quality, release sign-off, and automation strategy across our platform — including AI agents, web applications, APIs, and databases.
This role blends:
- Quality Ownership
- Automation & Agentic Testing Leadership
- Release & Go-Live Authority
- Product-aligned execution (PO-style ownership)
You will start by establishing strong manual and exploratory testing foundations, then systematically drive automation-first quality, including AI agent validation, critic agents, eval frameworks, and safety guardrails.
This is not a passive QA role.
You are accountable for production quality.
Key Responsibilities
End-to-End Quality Ownership & Release Sign-Off
- Own quality outcomes across the full delivery lifecycle
- Act as release authority, driving go/no-go decisions
- Define and enforce quality gates across features, agents, and releases
- Partner with Product and Engineering to balance speed and quality
- Reduce production defects through proactive automation and validation
Automation-First Quality Strategy
- Define and own the automation roadmap (UI, API, DB, agentic systems)
- Build and maintain hybrid automation frameworks using Python
- Drive CI/CD-integrated automated testing pipelines
- Ensure automation coverage continuously replaces repetitive manual testing
- Guide aligned Quality Engineers in automation implementation
Agentic AI & LLM Quality Engineering
- Own quality for AI agents, tool calls, and multi-step workflows
- Validate:
- Agent behavior & reasoning paths
- Tool invocation correctness
- Hallucinations & unsafe outputs
- RAG accuracy and grounding
- Define and execute agent evaluation (evals) frameworks
- Collaborate with Critic Engineers to design:
- Critic agents
- Automated agent validation
- Benchmark datasets & scoring rubrics
- Lead innovation in agent testing methodologies
Manual, Exploratory & Scenario-Based Testing
- Drive high-quality manual and exploratory testing where automation is not yet viable
- Design test scenarios covering edge cases, failure modes, and real-world flows
- Ensure strong test data strategies and defect lifecycle management
- Use manual testing strategically — not as a long-term crutch
Product-Aligned Ownership
- Work as a quality-focused Product Owner partner
- Align closely with Product Managers on acceptance criteria and readiness
- Participate in sprint planning, refinement, and release discussions
- Ensure quality is embedded into feature design, not added later
Cross-Team Collaboration
- Work closely with:
- Product
- Engineering
- AgenticOps
- RAG & AI teams
- Act as the single quality voice across delivery discussions
- Mentor and guide aligned Quality Engineers and contributors
Required Skills & Experience
Quality & Manual Testing
- 5+ years of strong hands-on experience in manual and exploratory testing
- Deep understanding of SDLC/STLC, test planning, traceability, and defect management
- Strong API testing experience (Postman, REST clients)
Automation (UI, API, Database)
- Strong experience in:
- UI automation (Playwright / Selenium / Cypress)
- API automation (pytest, requests, REST Assured)
- Database validation using SQL
- Experience designing end-to-end automation frameworks
- CI/CD integration (GitHub Actions, GitLab, Jenkins)
Agentic AI & LLM Testing
- Hands-on experience testing LLMs and AI agents
- Understanding of:
- Agent workflows
- Tool calling
- RAG pipelines
- Guardrails & safety validation
- Experience designing or executing eval frameworks
Python, MCP & Cloud
- Strong Python skills for automation, utilities, and validation
- Understanding of MCP servers, agent tools, and orchestration
- Cloud exposure (GCP / AWS / Azure) in QA or automation contexts
What Success Looks Like
- Releases go out predictably and confidently
- Automation coverage grows sprint after sprint
- Agent failures are caught before production
- Quality becomes a shared responsibility, led by you
- Manual testing effort reduces as automation and agent critics mature
Why This Role Is Special
- Owns release sign-off
- Drives automation-first quality
- Shapes how agentic AI is tested
- Works closely with Product & CTO
- Leads innovation in AI testing
- Not a test executor role
- Not a checkbox QA position
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