Overview In this role you shape enterprise AI architecture for Fabric agents, runtimes, and model gateways, aligning with vendor-neutral orchestration standards. You lead cross-functional teams to implement scalable, compliant AI harness solutions and governance across applications, cloud, data, and security. You drive secure identity, audit trails, and risk-informed evaluation while enabling safe, sandbox-to-production promotion.

You'll influence technology strategy and partner with IT, Security, and risk functions to deliver measurable impact.

Responsabilidades Own agent runtimes, orchestration, and model gateway with modular, testable components

Manage MCP/A2A integration spine across Fabric layers

Define reference patterns and shared eval harness with Trust, Risk & Evaluation

Lead agent identity, entitlement, and audit trail implementations with IT and Security

Ensure GxP commit-point patterns and traceability for audits

Manage AI Harness Engineers deployed in pods and oversee architecture strategies





Drive enterprise-wide technology architecture realization, cost-benefit and risk analyses

Evaluate emerging technologies and guide scalable, cost-effective decisions

Requisitos principales Bachelor's or Master's Degree or equivalent

10+ years leading people, projects, or programs

Hands-on experience building production agent systems or LLM orchestration at enterprise scale

Deep familiarity with MCP, A2A, and interoperability landscape

Strong identity and security instincts; enterprise IdP and entitlement systems integration

Experience in regulated environments (Part 11) and auditability

Curiosity about AI—its capabilities, limitations, and failure modes

Excellent communication and influencing abilities excellent communication influence and stakeholder management curiosity about AI and its pitfalls

MCP and A2A familiarity

LLM orchestration infrastructure production agent systems

📌 Head of Agentic AI Platform Engineering (Barcelona)
🏢 Agilent Technologies
📍 Barcelona