OverviewIn this role you will lead the AI-enabled testing strategy for a Kubernetes-based software platform spanning instruments, applications, and shared services.

You will design and implement AI-native test frameworks, govern AI-assisted testing in regulated environments, and drive adoption across product teams.

You will shape testability-by-design and ensure auditability and compliance while accelerating safe software delivery.

This is a hands-on senior individual-contributor position focused on building a durable automation and governance layer for AI-accelerated testing.

Compensaciones / BeneficiosAgilent Result Bonus

Stock Purchase Plan

Life Insurance

Pension

Healthcare

Employee Assistance Program','Holiday','Company activities

ResponsabilidadesLead AI SDLC adoption for quality engineering and scale AI-assisted test authoring, execution, and maintenance

Build AI-native test frameworks and workflows that generate unit, contract, integration, and E2E tests from specifications

Integrate enterprise tools (e.g., GitHub Copilot, Qodo, Diffblue, Playwright AI) into CI/CD quality gates

Develop evaluation and regression frameworks for AI features, including non-deterministic evaluation and AI observability

Ensure regulatory compliance and auditability for AI-generated artifacts in validated environments (CSA, GAMP 5, IEC *)

Define platform-wide test architecture standards for Kubernetes-based microservices, environment-as-code, and data strategy





Specify human-in-the-loop governance, risk-based review checkpoints, and rollback triggers for AI-generated code and tests

Instrument and report on DORA metrics plus AI-specific measures like coverage delta and defect-escape rate

Lead the change effort, enablement, and playbooks to drive durable adoption

Requisitos principales10+ years of software engineering experience

3+ years in test architecture or quality engineering architecture roles

Hands-on experience with AI-assisted development and testing tools (GitHub Copilot, Claude Code, Cursor)

Deep Kubernetes expertise for test environments (ephemeral namespaces, environment-as-code)

Experience designing multi-level test automation (unit, contract, integration, E2E, performance)

CI/CD pipeline and quality gate integration (GitHub Actions, Jenkins)

Contract testing experience (Pact) for microservices/API-first architectures

Proven ability to deliver reusable test frameworks across product teams

Knowledge of testability-by-design and influencing software architecture for testability

Experience leading adoption and change with measurable outcomes leadership in change management cross-functional collaboration risk-aware decision making

LLM/agent-based testing experience

AI/ML testing evaluation frameworks (deepeval, LangSmith, Langfuse)

OpenTelemetry GenAI conventions for observability

📌 Lead Test Framework Architect (M/F/D) (Barcelona)
🏢 Agilent Technologies
📍 Barcelona