At 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. In 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. Opportunity Define the Enterprise Blueprint – Act as the chief architect and technical visionary for Roche’s Commercial Gen AI platform strategy and design core multi‑agent orchestration blueprints, state‑management protocols, and shared tool‑use boundaries. Drive Cutting‑Edge R&D; to Production – 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 Lang Graph, Auto Gen, or custom orchestrators. Champion Engineering Excellence and Governance – 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. Act as a Catalyst Partner – 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. Mentor and Upskill – 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. Who You Are You 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. Education & Qualifications Postgraduate degree (Master’s or Ph. D. preferred) in Computer Science, Software Engineering, AI/Machine Learning, or an equivalent technical field. Technical Experience & Capabilities Senior Engineering Track Record – 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. Orchestration Expertise – Proven production experience with state‑management in agentic networks, directed acyclic graphs for LLM reasoning, agent‑to‑agent negotiation loops, and persistent cognitive memory. System Design & Security – 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. Rigorous Evaluation Mindset – Track record of designing custom evaluation frameworks for non‑deterministic AI systems, balancing latency, execution cost, token limits, and reasoning accuracy. Regulated Industry Acumen – 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. Influential Leadership – 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. Benefits We 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. Roche is an equal opportunity employer and strictly prohibits unlawful discrimination. #J-18808-Ljbffr

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