Jobs / Spain / Astrazeneca Pharmaceuticals Lp
Director, Operations IT - AI Engineering
Astrazeneca Pharmaceuticals Lp · 🌍 Spain - Barcelona
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About the role
About AstraZeneca AstraZeneca is a global, innovation-driven BioPharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious disease. But we’re more than one of the world’s leading pharmaceutical companies. At AstraZeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning, growth and development. About the Operations IT team Operations IT is a global capability supporting the Global Operations organization across Pharmaceutical Technology Development, Manufacturing & Global Engineering, Quality Control, Sustainability, Supply Chain, Logistics, and Global External Sourcing and Procurement. We operate from key hubs in the UK, Sweden, the US, China, and our Global Technology Centers in India and Mexico. Our work directly impacts patients by transforming our ability to develop life-changing medicines, combining cutting-edge science with leading digital technology platforms and data. About the role We are seeking a Director-level AI Engineer, operating in a “forward-deployed” model, to set the technical direction and guide delivery excellence across AstraZeneca’s Generative AI, AI Agent, and Digital Twin initiatives. Acting as the technical authority and trusted advisor across multiple programmes, you will embed with business stakeholders and delivery teams to translate ambition into deployable, production-grade solutions. Your deep technical credibility, breadth of market knowledge across emerging AI capabilities, and ability to influence without formal authority will be essential to raising the bar on how AI is designed, built, and delivered. This is an individual leadership role, with no direct reports — but with enterprise-wide accountability for technical quality, standards, and delivery excellence. Key Responsibilities Technical Guidance & Standards (~40%) • Define and evolve reference architectures, design patterns, and delivery playbooks for GenAI, AI Agents, and Digital Twins, ensuring consistency and reuse across teams. • Act as the technical authority for AI engineering practice, setting the quality bar for code, architecture, and production readiness. • Establish and chair technical review forums and communities of practice to share learning and raise capability across engineering teams. • Track the fast-evolving AI product and vendor landscape (LLMs, agent frameworks, digital twin platforms) and translate relevant innovations into practical guidance. Delivery Excellence (~40%) • Embed directly (“forward-deployed”) in critical or at-risk programmes to unblock technical challenges, review designs/code, and course-correct delivery before issues compound. • Partner with project and programme leads to assess risks, requirements, and dependencies; anticipate problems and advise on mitigation strategies. • Provide hands-on technical consultancy to business stakeholders to help estimate, prioritize, and scope AI initiatives realistically. • Conduct design and code reviews across multiple concurrent initiatives to ensure solutions are secure, scalable, and production-ready. Stakeholder Partnership & Influence (~20%) • Engage senior internal stakeholders (POs, business partners, architects, other engineering teams) and external partners/vendors to shape the AI delivery agenda. • Collaborate with the innovation team to identify, prototype, and socialize new strategic technical capabilities. • Mentor and upskill engineers across team