About the team
The Connected Insights digital product delivery service is an internal, high-profile, bespoke data & AI service built in collaboration with our in-house competitive intelligence professionals. It is transforming how competitive intelligence is created, disseminated and consumed across AstraZeneca into a rich, digital, interconnected and on-demand experience.
Using data pipelines, knowledge graphs, interactive visualisations and AI, we seek to integrate key external and internal data sources, generate complex interactive information, and transform how our teams of competitive intelligence professionals create and share insights. We value creating an excellent user experience, trusted data, and effective engineering practises.
Introduction to role
Are you ready to disrupt an industry and change lives? We are seeking a versatile AI Engineer with a strong product mindset to join our Connected Insights team at AstraZeneca. In this dynamic role, you will actively work on cutting-edge AI projects while leading the development and deployment of AI-driven products, delivering impactful business and competitive intelligence insights. Collaborate with stakeholders and Product Leads to understand requirements, develop customized AI solutions, and partner with external AI companies where required. Are you prepared to make the impossible possible?
Accountabilities
Essential Skills/Experience
- Relevant graduate degree: Computer Science, Engineering, or AI.
- Minimum of 5 years of applied experience in software engineering, data science, machine learning, or relevant field.
- Demonstrate a strong product mindset by prioritising outcomes, balancing technical innovation with business value, and driving solutions that are both impactful and market-ready.
- Strong experience working in an Agile team with knowledge or experience of working in product focused delivery.
- Hands-on experience building Agentic AI systems and deploying them to production.
- Experience building and delivering software using the Python programming language, exceptional ability in other programming languages will be considered.
- AI framework experience, such as LangChain, etc.
- Experience in RAG, vector databases.
- An understanding of LLMs / Foundation models technologies.
- Demonstratable experience working with AWS or a similar cloud environment.
- Experience working with container-based application deployments.
- Experience in software development best practices.
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
At AstraZeneca, you'll be part of a team with the backing and investment to win. Our work has a direct impact on patients, transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining cutting-edge science with leading digital technology platforms and data. With a passion for impacting lives through data, analytics, AI, machine learning, and more, you'll be at the forefront of digital healthcare. Shape your own path with support all the way while contributing to something far bigger.
Ready to take on this exciting challenge? Apply now and be part of our journey!
Date Posted
24-nov-2025Closing Date
07-dic-2025AstraZeneca 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.