About this role
Location: London Hybrid Are you passionate about advancing treatments for chronic diseases such as diabetes and obesity and improving patient outcomes? Do you have strong experience designing and engineering AI platforms, advanced compute, and storage infrastructure in a regulated environment? Join Novo Nordisk and help build the secure, scalable foundations that enable responsible AI across research, clinical development, and the enterprise .
Your new role Lead the architecture, engineering, and operations of AI platforms and advanced compute and storage infrastructure across Novo Nordisk’s R&D and enterprise ecosystem. Build the foundations that allow scientists, data scientists, ML engineers, and product teams to accelerate drug discovery, clinical development, and business outcomes through scalable, compliant, and responsible AI. Your main responsibilities include: AI Platform Strategy and Leadership Own the AI platform vision, target architecture, roadmap, engineering strategy, and operating model Define enterprise standards for GenAI, Agentic AI, foundation models, MLOps, LLMOps, platform reliability, and responsible AI Drive adoption across research, pre-clinical, clinical, and business functions Architecture and Engineering Lead architecture and engineering teams responsible for AI/ML platforms, data platforms, AI infrastructure, cloud platforms, Kubernetes, and platform operations Deliver secure, scalable, observable, and cost-effective AI services across cloud, hybrid cloud, and on-premises environments Advanced Compute and HPC Infrastructure Design and operate GPU, supercomputing, and high-performance computing environments for foundation-model training, inference, simulation, and other data-intensive workloads Define capacity, procurement, workload placement, performance, availability, sustainability, and cost-management strategies Storage and Data Infrastructure Lead the architecture and engineering of petabyte-scale storage, data movement, backup, archival, lifecycle, governance, and high-performance data services Ensure storage and data platforms provide the throughput, resilience, security, compliance, accessibility, and cost efficiency required by AI and scientific workloads MLOps, LLMOps, and Responsible AI Enable reliable model development, training, deployment, inference, monitoring, auditability, explainability, and lifecycle management Establish AI governance frameworks, model risk controls, and compliance practices appropriate to a regulated pharmaceutical environment Stakeholder and Vendor Management Partner with R&D, research, clinical-development, enterprise, and technology leaders to translate strategic needs into production capabilities Manage strategic relationships across cloud, GPU, storage, networking, Kubernetes, MLOps, LLM platforms, and HPC ecosystems Your Skills and Qualifications Educational background in software engineering, computer science, data, AI, infrastructure, or platform engineering leadership.
Experience leading global teams Experience building and operating enterprise AI platforms, advanced compute, HPC, or storage infrastructure at scale. Experience in a highly regulated industry, with pharmaceutical or life-sciences experience preferred Strong technical background with expertise in: AWS, Azure, or GCP Kubernetes and cloud platform engineering AI/ML, MLOps, and LLMOps platforms GenAI, Agentic AI, and foundation models Data engineering, distributed systems, and Python ecosystems GPU, HPC, advanced compute, and high-performance storage Infrastructure as code, DevOps, DataOps, security, and observability Working at Novo Nordisk Every day we seek the solutions that defeat serious chronic diseases. To do this, we approach our work with an unconventional spirit, a rare determination and a constant curiosity.
For over 100 years, this unordinary mindset has seen us build a company unlike any other. One where a collective passion for our purpose, mutual respect and a willingness to go beyond what we know delivers extraordinary results. What we offer There is, of course, more on offer here than the uniqueness of our culture and the extraordinary results we produce.
Being part of a global healthcare company means opportunities to learn and develop are all around us, while our benefits are designed with your career and life stage in mind. Salary: The placement within the salary range will be assessed during the recruitment process based on the candidate’s skills, competencies, knowledge, and relevant experience. Further details to be shared during the recruitment process.
Incentives and Benefits: The salary package may include short-term and/or long-term incentives as well as other employee benefits based on position level, location, functional area and relevant market benchmarks. Learn more about our Reward Philosophy here . Deadline Apply before 25 September .
Applications are reviewed on an ongoing basis. To submit your application, please upload your CV. We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.
At Novo Nordisk, we're not chasing quick fixes – we're creating lasting change for long-term health. For over 100 years, we've been driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what's possible in healthcare.
We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we're making healthcare more accessible, treating and preventing diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger – a legacy of impact that reaches far beyond today.