Principal AI Engineer

Principal AI Engineer 

Introduction to Role:

Join us at AstraZeneca as a Principle AI Engineer and be part of a hard-working enterprise AI function. We are focused on using advanced technologies to solve high-impact strategic challenges in support of AstraZeneca’s 2030 ambitions. As a senior hire, you will join the Enterprise Reusable AI Services leadership team, providing deep technological leadership to engineers and partners alike. This role will be based out of Barcelona.

Accountabilities:

You will be responsible for structuring the delivery of complex AI work and reusable products that are used throughout the organisation. You will lead AI engineering deliverables, set technical and software guidance, and contribute towards continually raising delivery standards and capabilities across the group. You will also be responsible for realising delivery excellence standard methodologies across Reusable AI Services and influencing internal and external partners with the goal of delivering innovative and adopted AI services in partnership with your peers.

Essential Skills/Experience:

- Bsc/MSc/Ph.D degree in Computer Science or related quantitative field
- Significant experience leading the creation of AI solutions and providing technical mentorship to developers
- Experience modelling complex datasets in applied business and/or scientific application domains
- Advanced software development skills in Python as well as, ideally, other languages, and familiarity with database systems (e.g. SQL, NoSQL, graph)
- Proven expertise and leadership in software development standard methodologies and principles (software architecting, linting, CI/DI, unit tests, OOP, Git)
- Understanding of algorithm design, development, optimisation, scaling and applications.
- Experience building, managing and delivering against a multi-functional portfolio of customer demands and requirements
- Excellent written and verbal communication, business analysis, and consultancy skills
- Ability to work with various senior business and technical partners, forging consensus and sponsorship towards team initiatives and innovations
- Passion for advising on best-in-class delivery patterns that enable AI developers to do their best work
- Strong bias for action and results

Experience developing AI in a regulatory or compliance setting is desirable with an appreciation for the documentation and diligence required to deliver ethical AI responsibly. Experience of developing and running machine learning models using cloud platforms, building APIs and familiarity with the challenges of deploying web services for different audiences will also be key.

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.

Why AstraZeneca?

At AstraZeneca, we believe in the power of our collective knowledge. We are a diverse team of inclusive self-starters who are dedicated to combining science with our knowledge to deliver greater value for patients every day. We take data seriously and are driven by the impact we know we can have. We are continuously drawing on our existing and expanding knowledge to adapt with the technology environment. Here we learn more and we learn fast. The complexity and variety of the work is stimulating. It gives us endless development opportunities.

Ready to make an impact? Join us at AstraZeneca where innovation meets large-scale impact. Apply now!