> Markdown version of [/jobs/ext/2062960-leader-of-ai-infrastructure](https://www.wearedevelopers.com/jobs/ext/2062960-leader-of-ai-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # leader of AI Infrastructure - **Company:** Boehringer Ingelheim - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, Software Design Patterns, File Systems, AI Infrastructure, Containerization, Kubernetes, Terraform - **Published:** August 15, 2026 - **Apply:** https://www.careerjet.co.uk/job/gb29db0a2607b4ef8f5a64926d3bb25536/eaa ## About the Role * PhD or MSc with equivalent experience in a STEM 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. ## Description We are seeking a senior leader of AI Infrastructure to join Computational Innovation's AI Accelerator. 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 as cloud providers, to ensure that our AI scientists and ML teams get 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., * 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. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Possibilities with Web Capabilities](https://www.wearedevelopers.com/videos/1575-possibilities-with-web-capabilities) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)