QE GenAI Architect

3 days ago


Bengaluru, Karnataka, India UST Full time

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Key Responsibilities

  • Architect end-to-end
    GenAI-powered QE frameworks
    integrating LLMs, autonomous testing agents, and intelligent validation techniques.
  • Develop
    AI-driven test generation, self-healing scripts
    , and automated defect classification engines.
  • Lead QE strategy across large enterprise programs, ensuring scalability, performance, and accuracy of automation systems.
  • Partner with product, engineering, and data science teams to embed
    AI/ML into SDLC
    and create continuous quality pipelines.
  • Evaluate emerging LLMs, vector databases, RAG workflows, and MLOps platforms for QE optimization.
  • Build reusable, modular accelerators for
    AI-Augmented Regression, API validation, UI automation, and data intelligence
    .
  • Mentor QE teams on GenAI adoption, automation best practices, and architectural governance.
  • Drive innovation, solutioning, workshops, and customer presentations as a QE thought leader.

Must-Have Skills

  • 14+ years of QE experience
    with at least
    3–5 years in GenAI/LLM-based automation
    .
  • Expertise in Python, Java, or JavaScript with hands-on experience building automation frameworks.
  • Strong understanding of
    LLMs (GPT, Claude, Llama, etc.), vector stores (FAISS, Pinecone), RAG pipelines
    , embeddings, and prompt engineering.
  • Proven experience with
    AI-driven test generation, autonomous test agents, and intelligent defect prediction
    .
  • Hands-on experience with
    Selenium, Playwright, API automation
    , and CI/CD test orchestration.
  • Deep familiarity with cloud platforms (
    AWS, Azure, or GCP
    ) and container ecosystems (
    Docker/Kubernetes
    ).
  • Strong architectural mindset with the ability to design scalable automation platforms.

Good-to-Have Skills

  • Experience in
    MLOps
    , data pipelines, or AI model evaluation frameworks.
  • Knowledge of
    GenAI observability, model drift detection, and guardrails
    .
  • Experience with
    Performance Engineering
    , Chaos Testing, or Security Testing automation.
  • Prior consulting or customer-facing architecture leadership roles.
  • Experience building reusable AI accelerators for enterprise teams.

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