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. 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. Always committed to lifelong learning, growth and development. About the Operations IT team Operations IT is a integral 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 roleWe 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.

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. Partner with project and programme leads to assess risks, requirements, and dependencies; 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. Mentor and upskill engineers across teams,



even without formal line management responsibility, acting as a technical coach and escalation point. Represent AI Engineering in governance, architecture, and leadership forums, articulating technical trade-offs to both technical and non-technical audiences.

Bachelor’s degree in operations research, mathematics, computer science, or a related quantitative field. At least 10 years of professional experience delivering ML/AI projects, including at least 5 years operating as a technical lead, principal engineer, or architect across multiple concurrent initiatives. Demonstrated track record of setting technical direction and raising delivery standards across teams without formal line management authority.

Advanced expertise in Python and familiarity with database systems (e.g., Snowflake, Neo4j databases). Strong understanding of software development (frontend, backend), algorithms, optimization, and scaling. Excellent communication, business analysis, and stakeholder-influencing skills, with the credibility to advise senior business and technical leaders.

Nice to Have:Master’s or PhD in a relevant quantitative field.

Experience with AWS cloud services and cloud engineering.

Experience with Digital Twin platforms (e.g., Azure Digital Twins, NVIDIA Omniverse, AnyLogic). That's why we work, on average, a minimum of three days per week from the office. We balance the expectation of being in the office while respecting individual flexibility. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.

SummaryLocation: Spain - BarcelonaType: Full time

📌 Director, Operations IT - AI Engineering (Barcelona)
🏢 AstraZeneca
📍 Barcelona