"Job Description Agilent is building a Kubernetes-based software platform spanning instruments, applications, and shared services across multiple product lines. We are embedding AI into how we build and verify software. We are looking for a Lead Test Framework Architect to lead the adoption of AI in our software test lifecycle, and to build the test frameworks, evaluation methods, and governance that let us ship AI-accelerated software safely in regulated, GxP / 21 CFR Part 11 environments. This is a hands‑on senior individual‑contributor role. AI accelerates software delivery, but that acceleration exposes weaknesses downstream without a strong automated‑testing control system. Building that control system - and leading the organization to adopt it - is the core of this role.

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Responsibilities
- Lead AI SDLC adoption for quality engineering.
- Own the strategy for AI‑assisted test authoring, execution, triage, and maintenance.




- Prove value through reference workflows, then scale adoption across product teams.
- Build AI‑native test frameworks.
- Design workflows that generate unit, contract, integration, and E2E suites from specifications and intent.
- Verify that AI‑generated tests exercise specified intent, not implementation.
- Integrate GitHub Copilot (enterprise standard) and complementary tools (e.g., Qodo, Diffblue, Playwright AI agents, self‑healing frameworks) into CI/CD quality gates.
- Test our AI features.
- Build evaluation and regression frameworks for LLM‑and agent‑powered product capabilities: non‑deterministic evaluation, hallucination and grounding scoring, drift detection, and AI observability using OpenTelemetry GenAI conventions.
- Own the regulatory bridge.
- Integrate AI‑assisted testing into validated environments using risk‑based Computer Software Assurance (CSA), GAMP 5 (2nd Edition) and the ISPE GAMP AI Guide, and - for

📌 Lead Test Framework Architect (Barcelona)
🏢 DE04 Agilent Technologies Deutschland
📍 Barcelona