Overview In 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 / Incentivos Agilent Result Bonus Stock Purchase Plan Life Insurance Pension Healthcare Employee Assistance Program','Holiday','Company activities Responsabilidades Lead 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 E2 E tests from specifications Integrate enterprise tools (e.G., Git Hub 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 62304) 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 principales 10+ 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 (Git Hub Copilot, Claude Code, Cursor) Deep Kubernetes expertise for test environments (ephemeral namespaces, environment-as-code) Experience designing multi-level test automation (unit, contract, integration, E2 E, performance) CI/CD pipeline and quality gate integration (Git Hub 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, Lang Smith, Langfuse) Open Telemetry Gen AI conventions for observability

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