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.

ResponsabilidadesOwn agent runtimes, orchestration, and model gateway with modular, testable componentsManage MCP/A2A integration spine across Fabric layersDefine reference patterns and shared eval harness with Trust, Risk & EvaluationLead agent identity, entitlement,



and audit trail implementations with IT and SecurityEnsure GxP commit-point patterns and traceability for auditsManage AI Harness Engineers deployed in pods and oversee architecture strategiesDrive enterprise-wide technology architecture realization, cost-benefit and risk analysesEvaluate emerging technologies and guide scalable, cost-effective decisions Requisitos principalesBachelor’s or Master’s Degree or equivalent10+ years leading people, projects, or programsHands-on experience building production agent systems or LLM orchestration at enterprise scaleDeep familiarity with MCP, A2A, and interoperability landscapeStrong identity and security instincts; enterprise IdP and entitlement systems integrationExperience in regulated environments (Part 11) and auditabilityCuriosity about AI—its capabilities, limitations, and failure modesExcellent communication and influencing abilitiesexcellent communicationinfluence and stakeholder managementcuriosity about AI and its pitfallsMCP and A2A familiarityLLM orchestration infrastructureproduction agent systems

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