GenAI QA Architect (Adoption Leader)

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002 we unite 2400 tech-savvy professionals across 40 countries working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud data AI/ML embedded software IoT and more driving digital transformation across finance manufacturing telecom healthcare and other industries. Join N-iX and become part of a team where your ideas make a real impact.

Were building a small GenAI Adoption team (GenAI Value Lab) to help delivery projects use AI in real work not in side experiments.

This role is the QA/Testing specialist: you design how GenAI fits into testing prove it on real projects and enable account teams to run it themselves. You dont own their frameworks long-term you enable then move on to the next team.

Were not looking for someone who knows it all. GenAI in QA is still new. Part of your job will be to experiment break things (safely) learn and share what actually works. If youve played with tools like Copilot Claude Cursor or LLMs in platforms like LambdaTest etc for test generation/log analysis and youre excited to turn that into real practice for real teams youll feel right at home.

If youre a QA Architect / Senior QA who wants to practice GenAI every day work across multiple stacks and help hundreds of engineers upgrade how they test this is that role.

Responsibilities:

1. GenAI QA workflows:

• Define and document testing strategies for GPT/LLM-based features (functional non-functional ethical).
• Design LLM-specific test plans cases and data: prompt variants hallucination detection safety/guardrail checks response consistency.
• Set quality gates and acceptance criteria for LLM outputs (accuracy safety fairness UX).
• Identify and pilot AI-specific testing tools (e.g. DeepChecks AI Fairness 360 MLflow/TFX evaluation prompt/adversarial testing tools) and prepare them for handover to project teams.

2. Tooling platforms & pipelines:

• Prototype and refine utilities prompt libraries and test templates that plug into existing stacks (Selenium/Cypress/Playwright API test frameworks performance tools CI pipelines).
• Build a strategic view on platform vs custom: e.g. LambdaTest / HiRafiestyle suites vs Cursor/Claude Code and other IDE-centric tools and recommend integration paths per account.
• Integrate LLM testing workflows into CI/CD with DevOps/MLOps (sanity checks regression evaluation runs quality gates).
• Validate API integrations (auth rate limits error handling fallbacks observability around LLM calls).
• Ensure QA practices align with AI governance data privacy and responsible AI standards.

3. Enable dont own:

• Run workshops live demos and pairing sessions with QA/SDET teams learning by doing not watching slides.
• Help teams move from copy-pasting prompts to structured documented and safe AI usage in testing.
• Capture results as GenAI Value Labplaybooks templates and case studies that can be reused across accounts.

4. Measure impact:

• Track hard metrics: defect escape rate regression time flaky test rate coverage lead time DORA/SPACE.
• Track human impact: less repetitive QA work cleaner pipelines higher confidence before release.
• Turn improvements into clear stories that make adoption easier for the next team.

Requirements:

• Proven experience as QA Architect / Test Lead / Senior QA/SDET in a modern SDLC (automation CI/CD).
• Strong base in:
• Test strategy & test pyramid
• UI/API automation and CI integration
• At least some non-functional testing (performance/reliability/security basics)
• Hands-on with modern QA tooling: e.g. Selenium / Cypress / Playwright REST API testing test runners/reporting tools CI/CD (Jenkins GitHub Actions GitLab etc.).
• Able to read and reason about test code (Java C# Python or similar).

GenAI understanding:

• Youve already used GenAI for real work: generating tests refactoring test code analyzing logs writing docs etc.
• Understanding of LLMs prompt engineering and GenAI workflows (you dont have to be a researcher but youre not starting from zero).
• Experience or strong interest in:
• Testing GPT/LLM-based features
• Handling hallucination bias and safety risks
• Designing tests for approximate outputs not just exact matches
• Skilled in or willing to learn Python/PyTest/Postman and evaluation tooling (bonus: LangChain OpenAI APIs model evaluation frameworks fairness/bias tools).

How you work:

• Comfortable leading change: introducing new tools/processes showing value with real numbers not buzzwords.
• Able to tailor solutions to different client rules compliance needs and tech stacks.
• Clear communicator who can talk to QA devs architects and managers without turning it into a research lecture.

How GenAI Value Lab works (and why this is interesting)

• We dont replace project QA teams or run their regression suites forever.
• We do:
  
  • Design patterns and guardrails
  • Prove them on 12 projects
  • Turn them into reusable playbooks and move to the next account

Youll work across multiple accounts and domains helping up to 1700 engineers and dozens of QA teams change how they test while building your own GenAI expertise much faster than staying in a single product team.

If youre a QA architect who wants to be on the front line of how testing changes with GenAI and you enjoy enabling many teams more than owning one codebase wed like to talk.