Senior Staff AI Infrastructure Engineer

Boehringer Ingelheim; Greater London; Hybrid; GBP 115,000 - 160,000; Full time

Job summary

Boehringer Ingelheim UK is seeking a senior leader for AI Infrastructure to own the infrastructure strategy for the AI Accelerator. You will oversee compute, storage and platform infrastructure, defining architecture and standards that empower AI scientists and ML teams across CI.

This role is hybrid, combining office presence with strategic leadership of critical platform evolution. You will partner with IT, Data Excellence and cloud providers to ensure cost-effective, portable solutions and

Qualifications

• PhD or MSc in STEM required or equivalent experience.
• Senior staff-level experience in infrastructure, platform or systems engineering.
• Deep expertise in AI compute infra stack: GPU compute, storage, networking, containers (Kubernetes).
• Experience with hybrid on-prem/cloud architectures and cost optimisation.
• Experience enabling large-scale AI workloads and secure environments.

Responsibilities

• Define and evolve a multi-layer reference architecture for storage, compute, environments and platform stack.
• Set technical direction, strategy and roadmap for AI infrastructure.
• Partner to develop secure Trusted Research Environment for AI workloads.
• Shape evolution of enterprise infrastructure to support large-scale AI and portability.
• Mentor engineers and act as senior escalation point for infra problems.

Skills

AI infrastructure

Kubernetes

On-prem/cloud

Distributed training

Security/ITIL

Education

PhD or MSc in STEM

Tools

Terraform

Job description

AI ACCELERATOR

Most diseases are still poorly understood at a biological level. Despite decades of research, the causal mechanisms driving many conditions remain unclear, limiting our ability to identify the right targets, design the right interventions and bring the right medicines to patients.

AI ACCELERATOR

Most diseases are still poorly understood at a biological level. Despite decades of research, the causal mechanisms driving many conditions remain unclear, limiting our ability to identify the right targets, design the right interventions and bring the right medicines to patients.

The AI Acceleratorexists to change that. Based inLondonandsitting within Computational Innovation(@computationalinnovation),a global organisationspanningcomputational biology, human genetics, data excellence and AI, the Accelerator’s mission is to build production-quality AI capabilities that deepen our understanding of disease biology and increase probability of success.

We do this by applying neural-based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships and embed causal thinking into what we build. The goal is not just to predict but to explain and understand why disease occurs.

It could be electronic health records and medical imaging to support patient segmentation. It could be ‘omics data to identify novel therapeutictargets. It could be predicting transcriptional change for a given disease-causing variant. It could be simulating the effect of modulating a target of interest.

AI Infrastructure underpins the success of the AI Accelerator: the scale, speed and cost of every model trained or served restson the compute, storage and platform substratedeployed.This includesgetting the best from existing on-prem capabilities as well as securin…

THE POSITION

We are seeking a senior leader of AIInfrastructureto join Computational Innovation’sAIAccelerator. In this role, you will own the technical infrastructure strategy for the AI Accelerator, ensuring the unit has the compute, storage and platform infrastructure it needs to train, fine-tune and serve biomedical foundation models at scale.You will lead the architecture, standards and practices for the compute and platform substrate on which the other teams depend, working wider CI data teams and IT, as well ascloud providers,to ensure that our AI scientists and ML teamsget the best from all available infrastructure.

This is a technical leadership role that requires deep technical expertise and relationship building. You will be a senior member of the AI Enablement leadership team, contributing to the team's overall direction alongside the Senior Staff Data Engineer and Senior Staff MLOps Engineer.

This is a unique opportunity to be part of a critical strategic initiative for a pharmaceutical company that invests heavily in research and development to discover and develop innovative therapies that can improve and extend lives in areas of high unmet medical need.

Key Responsibilities

• Own, define and evolve a wholistic, multi-layer reference architecture spanning storage, compute, environments and platform stack, making appropriate use of vendor/integrator design patterns.
• Set the technical direction, strategy and roadmap for AI infrastructure, aligned to the various AI Enablement roadmaps and to portfolio/research priorities.
• Partner with Data Excellence to further development BI's Trusted Research Environment (TRE), ensuring the TRE supports secure, compliant AI workloads on sensitive data and evolves to meet the AI Accelerator’s needs.
• In partnership with IT, shape the evolution of existing enterprise infrastructure to support large-scale AI and ensure best-value services while designing for portability.
• Establish ways of working, onboard and mentor other team members, and act as a senior escalation point for complex AI Infrastructure problems.

Requirements

• PhDor MSc with equivalent experienceinaSTEM subject.
• Extensive experience as a senior staff-level infrastructure, platform or systems engineer for compute-intensive workloads, including setting architecture, standards and technical direction for a team or function.
• Deep expertise across the AI compute infrastructure stack: high-performance and GPU compute, storage and file systems, networking, container platforms and orchestration (e.g. Kubernetes), environment provisioning and infrastructure-as-code (e.g. Terraform).
• Significant experience with hybrid on-prem/cloud architectures, including right-sizing, cost optimisation and designing for portability to avoid lock-in.
• Expertise in providing infrastructure that enables large-scale AI workloads, including distributed training at scale.
• Understanding of security, access control, resilience/continuity and systems-operation rigour (ITIL or equivalent service management).
• Strong collaboration and influencing skills across technical and non-technical stakeholders; ability to explain complex technical concepts clearly and to mediate competing requirements.
• Experience mentoring or technically leading engineers and setting engineering principles.

This is a hybrid role with approximately 4 days a week in the office.

WHY THIS IS A GREAT PLACE TO WORK

Boehringer Ingelheim has been recognised as a Top Employer in the UK, demonstrating our commitment to building an exceptional workplace through strong people practices and supportive HR policies.

To learn more about why BI is a great place to work, visit:

https://www.boehringer-ingelheim.co.uk/careers/uk-careers/why-great-place-work

Our Company

Why Boehringer Ingelheim?

With us, you can develop your own path in a company with a culture that knows our differences are our strengths - and break new ground in the drive to make millions of lives better.

Here, your development is our priority. Supporting you to build a career as part of a workplace that is independent, authentic and bold, while tackling challenging work in a respectful and friendly environment where everyone is valued and welcomed.

Alongside, you have access to programs and groups that ensure your health and wellbeing are looked after - as we make major investments to drive global accessibility to healthcare. By being part of a team that is constantly innovating, you'll be helping to transform lives for generations.

Want to learn more? Visit https://www.boehringer-ingelheim.com