AI Support Engineer

Introduction to the Role

The AI Support Team is responsible for supporting the Level 1 and 2 post-production activities in the Enterprise AI Team. As an AI Support Engineer, you will be the firstresponderfor any issues or requests raised post-production by users of the enterprise AI services.

The Enterprise AI Team aims to fulfill AstraZeneca’s ambition to use AI in every step of the value chain, from discovering new compounds to patient safety systems. The team consists of three verticals—Connected Intelligence, Reusable AI, and AI Platforms—in addition to AI Support. These verticals deliver the AI app store, AI models, and ready-to-use platforms to data scientists across AstraZeneca. The AI Support Team will attend to the post-production activities of these three verticals.

We achieve this through a combination of technical leadership and agile-focused development, continuously evaluating the fast-moving advancements in machine learning tooling for challenges across AstraZeneca’s R&D, Commercial, and Operations domains.

We are looking for an AI Support Engineer to join our AI Support Team. The ideal candidate will have industry-relevant experience delivering machine learning or data science at scale in the AWS cloud ecosystem.

You will be part of a collaborative team of multidisciplinary engineers and together have the chance to work on tools that will advance the standard of healthcare, improving the lives of millions of patients across the globe. Our data science platforms will support major AI initiatives such as clinical trial data analysis, knowledge graph analytics, patient safety systems, deep learning-led drug discovery, and Software as a Medical Device (SaMD) systems.

Accountabilities

• Collaborate with Data Scientists and Machine Learning Engineers from across the company to understand their challenges. You will need to work with them to triage and resolve issues ranging from development to production.
• Be a part of a high-performing agile team, continuously improving AstraZeneca’s AI support offerings and tooling.
• Work closely and collaboratively with internal governance and compliance functions such as Cyber Security and Data Privacy to establish and work within security guardrails without obstructing end-user productivity.
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPUs), with the objective of guiding ML engineers during their use of AI platforms.
• Champion a “production-first approach” to ensure the vital support for infrastructure and platforms is available to scale exploratory research to production.

Essential Skills/Experience

• B.Sc./M.Sc./B.Tech/M.Tech degree in Computer Science or a related quantitative or analytical field.
• 5–7 years of demonstrable experience working with Kubernetes—including Kubeflow, ArgoCD, Kibana, Grafana, Prometheus, GitHub workflows, and container-based applications.
• 5 years or more of experience building and delivering software using the Python programming language; exceptional ability in other programming languages will be considered.
• 5 or more years of demonstrable experience with the underlying infrastructure and tooling for running machine learning or data science at scale using Infrastructure as Code.
• Experience working in an Agile team.
• Experience working in a support environment or an understanding of the ITIL framework.
• Experience working with internal security standards and frameworks.
• Experience working with GxP-compliant life science systems will be looked upon favorably.
• Experience using DevOps to enable automation strategies.
• Creative, collaborative, and resilient.
• Excellent communication is a necessity.

Desirable Skills/Experience

• RAG implementation
• NLP
• Dataiku

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.

Feel the full weight of AstraZeneca's support behind what we're doing. Our work supports numerous individuals in optimizing their operations through data in software systems and processes. It means we speed up processes and quality decision-making. Here, the impact of our changes is recognized from the top.

Ready to make a difference? Apply now!

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 authorisation and employment eligibility verification requirements.