Job Description

Introduction to the role

Help shape and scale a multi-cloud AI platformthat speeds up the discovery and development of life-changing medicines! This role leads the strategy, build and evolution of enterprise compute and cloud-native AI services used every day by scientists and engineers across the business.

The focus is clear: turn ambitious ideas into secure, compliant and reusable capabilitiesthat work at scale. Success in this role means connecting data foundations, AI technologies and smarter ways of working into one strong platform that helps teams move faster, with less friction and more confidence. It is a chance to set direction, remove blockers and drive adoption across a global organisation!

What this role will do

This role will define how AI and machine learning services are used across AWS, Azure and GCP, creating a simpler and more consistent experience across multiple cloud environments. Managed services such as SageMaker, Azure ML and Vertex AIwill be brought together through strong architecture, Infrastructure as Code and practical integrations that make secure adoption easier.

Enterprise compute strategy will sit at the heart of the role, balancing performance, cost, resilience and compliance The platform will need repeatable, auditable Terraform foundations that support AI services with the rigour required in regulated environments.

The role will also unify cloud-native AI services into a more consistent platform model, with shared patterns, governance and guardrails that reduce duplication and support faster delivery. Rather than leaving teams to reinvent solutions, the platform will provide dependable standards that teams can adopt and scale.

Leadership is a major part of the remit. A high-performing team of AI platform and DevOps specialistswill be built, coached and challenged to raise the bar. An automation-first mindset, strong engineering discipline and compliance-by-design approach will be central to how the team operates.

The role also carries ownership for budgets and resourcing across headcount, cloud consumption, outsourced services and specialist partners Strong FinOps thinking will be important to improve visibility, control spend and maximise value.

Alongside delivery, this role will champion enterprise-wide adoption. Proven platform patterns, reusable components and successful ideas will be scaled across functions and geographies, helping more teams work with greater speed, safety and efficiency.

Close partnership with leaders across R&D, engineering, security and compliancewill be essential. The role will translate scientific and business priorities into technical strategy, practical roadmaps and measurable outcomes.

Essential Skills/Experience

• We’re looking for someone with 15+ years of experience, including at least 5 years in senior technical leadership roles focused on AI platforms, cloud infrastructure, or cloud-native AI services, ideally in regulated industries. This person will bring a strong track record of leading large-scale platform transformations and helping teams navigate complex, multi-year change with clarity and confidence.
• Deep expertise across AWS, Azure and GCPis expected, especially in AI and machine learning services. Strong hands-on knowledge of Terraformis also important, including enterprise module design, multi-cloud implementation, CI/CD integration, and state management and governance.
• This role calls for broad compute leadership experience, including Kubernetes, serverless and event-driven architectures, GPU optimisation for machine learning workloads, auto-scaling and cost optimisation A strong engineering background with hands-on capability in Python, Bash and PowerShellwill be valuable.
• Experience in GxP-compliant systemsis important, ideally in life sciences or pharmaceutical settings, including documentation and validation requirements. Strength in DevOps and GitOps tooling is also needed, covering areas such as Git, GitHub Actions, Azure DevOps, Docker and Kubernetes
• A solid grasp of cloud security, identity and access management, and data governanceacross multi-cloud environments is essential. Strong communication and stakeholder leadership skills matter just as much, especially the ability to influence across a large global organisation.

Desirable Skills/Experience

• Experience with MLOps practices and platformssuch as MLflow, Kubeflow and feature stores would be useful, as would knowledge of observability tooling including Datadog, Prometheus, Grafana and CloudWatch
• Background in FinOps, large-scale data pipelines, pharmaceutical R&D workflows, scientific computing, or contributions to open-source cloud-native or Infrastructure as Code projects would also stand out.

Working at AstraZeneca

At AstraZeneca, unexpected combinations of talent often lead to the most powerful ideas. Bringing diverse teams together creates the energy, pace and challenge needed to do meaningful work. That is why in-person collaboration remains an important part of how we operate, with a minimum of three days per week in the office on average There is flexibility too, with room for individual circumstances and balanced ways of working.

Why AstraZeneca

This is a place where science and technology meet with real purpose The work does not stop at experimentation or prototypes. Ideas are tested, strengthened and scaled into capabilities that make a tangible difference for patients.

Teams here are global, ambitious and highly collaborative. The environment combines high standards, serious investment and a strong sense of support Bold thinking is encouraged. Progress is expected. Kindness matters too! For leaders who want to simplify complexity, build strong platforms and create lasting enterprise impact, there is real room to do it here.

Benefits

AstraZeneca offers a competitive package designed to support wellbeing, growth and long-term success. Benefits typically include competitive pay, bonus opportunities, and learning and development opportunities Employees also benefit from the chance to work on high-impact challenges in a global environment where careers can grow across functions, technologies and geographies.

Call to action

Ready to lead a multi-cloud AI platformwith real enterprise reach and real-world impact? Step into a role that will shape standards, unlock innovation and help accelerate the delivery of life-changing medicines. Take the next step and build what’s next!

Date Posted

05-Jun-2026

Closing Date

18-Jun-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.