ppAt Roche, we believe the next frontier of healthcare innovation hinges on our ability to effectively connect, orchestrate, and leverage our global Clinical and Commercial Intelligence. /ppIn this high‑impact senior role, the Lead AI Engineer will serve as the principal technical authority and strategic catalyst for our next‑generation AI architecture. /ph3Opportunity /h3ullibDefine the Enterprise Blueprint /b – Act as the chief architect and technical visionary for Roche’s Commercial GenAI platform strategy and design core multi‑agent orchestration blueprints, state‑management protocols, and shared tool‑use boundaries. /lilibDrive Cutting‑Edge RD to Production /b – Lead the technical evaluation and strategic adoption of emerging agentic paradigms such as hierarchical multi‑agent teams, reflection loops, knowledge semantic models, and complex orchestration architectures using frameworks like LangGraph, AutoGen, or custom orchestrators. /lilibChampion Engineering Excellence and Governance /b – Establish rigorous enterprise‑level standards for LLMOps and Agent‑Ops, define global frameworks for agentic benchmarking, fallback mechanics, semantic caching, automated cost containment, and guardrails to prevent runaway autonomous loops. /lilibAct as a Catalyst Partner /b – Collaborate with senior business executives, general product heads, and legal/compliance councils to transform multi‑million dollar business problems into robust, highly‑compliant, agent‑driven software realities. /lilibMentor and Upskill /b – Cultivate a world‑class community of practice, influence and mentor senior developers and AI engineers across our global digital hubs, and drive continuous knowledge sharing. /li /ulh3Who You Are /h3pYou are a seasoned software architect and pioneer in the AI engineering space. You possess deep technical mastery, architectural pragmatism, and executive‑level communication skills, and you thrive translating ambiguous enterprise challenges into deterministic,



scalable software systems. /ph3Education Qualifications /h3ulliPostgraduate degree (Master’s or Ph.D. preferred) in Computer Science, Software Engineering, AI/Machine Learning, or an equivalent technical field. /li /ulh3Technical Experience Capabilities /h3ullibSenior Engineering Track Record /b – 8+ years of hands‑on software engineering with at least 3+ years architecting, deploying, and scaling complex Generative AI and LLM workflows in enterprise production environments. /lilibOrchestration Expertise /b – Proven production experience with state‑management in agentic networks, directed acyclic graphs for LLM reasoning, agent‑to‑agent negotiation loops, and persistent cognitive memory. /lilibSystem Design Security /b – Outstanding expertise in microservices architecture, secure API orchestration, semantic routing, and cloud‑native scaling (AWS, Azure, GCP). Highly proficient in advanced vector search, graph databases (e.g., Neo4j), and hybrid retrieval mechanisms. /lilibRigorous Evaluation Mindset /b – Track record of designing custom evaluation frameworks for non‑deterministic AI systems, balancing latency, execution cost, token limits, and reasoning accuracy. /lilibRegulated Industry Acumen /b – Prior experience designing automated systems within highly regulated frameworks such as Healthcare, Finance, or Aerospace, with deep understanding of AI safety, algorithmic bias mitigation, and data privacy compliance. /lilibInfluential Leadership /b – Exceptional ability to influence without formal authority, present complex technical roadmaps to non‑technical C‑suite stakeholders, and drive alignment across cross‑functional matrix organizations. /li /ulh3Benefits /h3pWe offer an executive‑level total rewards package, including competitive base compensation, performance‑driven bonuses, comprehensive health and wellness benefits, and flexible executive hybrid work arrangements. /ppRoche is an equal opportunity employer and strictly prohibits unlawful discrimination. /p /p #J-18808-Ljbffr

📌 Lead AI Engineer (Agentic Systems) (Madrid)
🏢 F. Hoffmann-La Roche
📍 Madrid