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    Job · 15186001

    Bridged AI logo

    Product-Aligned Agentic Quality Engineering Lead (Automation & Agentic AI)

    Bridged AI · Not specified · onsite · Posted 51d ago

    Not disclosed5–7 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    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

    Sourced from foundit

    Skills

    automation frameworksExploratory TestingDatabase ValidationPythonmanual testingAPI TestingUi Automation

    About Bridged AI

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    Bridged AI

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