Overview
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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 xqbhyrx 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