This is an in-office role based in Barcelona, ES, with a requirement to work a minimum of three days per week on-site. Remote or travel flexibility is not available. Are you ready to turn cutting-edge AI research into robust, secure products that accelerate how new medicines are discovered? Do you want to build the platforms and workflows scientists rely on to ask bolder questions and make faster, better decisions? In this role, you will lead the engineering that brings high-value AI breakthroughs to life at enterprise scale. You will partner closely with researchers, scientists and platform teams to design, harden and run AI systems that are reproducible, performant and trusted. Your work will shorten the path from idea to impact, helping teams progress promising science with greater speed and confidence. You will operate across cloud and on-premises environments, shaping standards, automation and reusable capabilities that uplift the entire organization. If you thrive on solving hard problems, mentoring others and proving what’s possible with AI in real-world settings, this is the place to make your mark. Key Accountabilities Provide technical leadership for AI platform and product engineering, with particular focus on software design, reproducibility, performance and maintainability. Engineer research prototypes into secure, scalable and supportable products and reusable platform capabilities for Discovery. Develop and optimize machine-learning training and inference workflows across cloud and on-premises infrastructure. Own and promote software engineering standards, documentation, testing, code review and reusable delivery patterns. Use CI/CD, DevOps, GitOps and MLOps automation to improve delivery speed, reliability and operational efficiency. Partner with AI researchers, scientists, platform teams and external collaborators to translate scientific needs into effective technical solutions. Mentor engineers, contribute to architecture decisions, and promote responsible, compliant and reproducible AI engineering. Essential Skills and Experience A master's degree or PhD in a relevant field A track-record of implementing software engineering best practices for multiple use cases. Advanced proficiency in Python and common scientific libraries (e.g. PyTorch, Numpy, Pandas). Experience with optimization of distributed training of machine learning models. Experience building and deploying AI/ML systems in production environments. Experience with GitHub for source control, GitHub Actions, CI/CD, and other MLOps practices. Experience with deployment of cloud-native applications and use of cloud vendors such as AWS, GCP or Azure. Excellent problem-solving and technical communication skills. Demonstrated ability to collaborate effectively across multidisciplinary teams. Desirable Skills and Experience Experience implementing Large Language Model (LLM) and Generative AI solutions at enterprise scale. Experience contributing to architecture design and technical roadmaps. Experience providing technical leadership on AI or software engineering projects involving responsible AI, governance, security, and reproducibility practices. Experience with Kubernetes and infrastructure as code. Understanding of the pharmaceutical industry and its processes. Experience working in a domain subject to regulatory oversight. Experience working in scientific research environment. Here, data, technology and science meet in unexpected ways—computational engineers, clinicians and bench scientists in the same room, unleashing bold thinking that tackles complex disease. You will work with modern tooling and meaningful datasets to build AI capabilities that directly influence research decisions and, ultimately, patient outcomes. We value curiosity alongside rigor, kindness alongside ambition, and we back learning with real opportunities—from experimenting with new approaches to seeing work recognized through publications. With strong collaborations across academia and industry, you can push boundaries while being supported by teams that move quickly, share knowledge and turn promising ideas into tangible progress. Shape the engineering backbone of discovery—share your CV and tell us about the toughest AI system you’ve taken to production, and take the lead on what comes next! #EAI Date Posted 29-oct-2026 Closing Date 26-nov-2026 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements. AstraZeneca is a global, science-led, patient-focused biopharmaceutical company. We focus on discovering, developing and commercialising prescription medicines for some of the world’s most serious diseases. But we are 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, challenge convention and unleash your entrepreneurial spirit. To embrace differences and take bold actions to drive the change needed to meet global healthcare and sustainability challenges. There is no better place to make a difference in medicine, patients, and society. An inclusive culture where you will connect different thinking to generate new and valuable opportunities. Where you will find a commitment to lifelong learning, growth and development for all. Our Inclusion & Diversity (I&D) mission is to create an inclusive and equitable environment where people belong, using the power of our diversity to push the boundaries of science to deliver life-changing medicines to patients. Inclusion and diversity are fundamental to the success of our company, because innovation requires breakthrough ideas that only come from a diverse workforce empowered to challenge conventional thinking. We’re curious about science and the advancement of knowledge. We find creative ways to approach new challenges. We’re driven to make the right choices and be accountable for our actions. As an organisation centred around what makes us human, we put a big focus on people. Across our business, we want colleagues to wake up excited about their day at the office, in the field, or in the lab. Along with our purpose to bring life-changing medicines to people across the globe, we have a promise to you: to help you realise the full breadth of your potential. Here, you’ll do work that has the potential to change your life and improve countless others. And, together with your team, you’ll shape a culture that unites and inspires us every day. This is your life at AstraZeneca.

Associate Director, AI Engineering for Discovery.

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