Sr AI Engineer

Your new team

In Enterprise AI, you will be part of a business area that drives impact across the full Novo Nordisk value chain.

We stay close to colleagues in the business so that we solve relevant problems and deliver solutions that support millions of people living with serious chronic diseases.

Within Enterprise AI, AI Reinvent & Engineering turns AI opportunities into products.

The AI Engineering Solutions team brings together engineers with different strengths across statistics, machine learning, AI, and software engineering.

Although you belong to this engineering community, your day-to-day work will often happen in cross-functional product teams in Commercial, Production & Product Supply, and other business areas.

This lets us stay close to the problems while maintaining strong links to shared engineering practices and the AI Foundation team.

We are cloud-native and work across technologies such as Azure and AWS, Databricks, Snowflake, foundation-model APIs, and modern AI application frameworks.

We value technical rigour, experimentation, direct feedback, and continuous learning.

Your skills & qualifications

We are looking for Senior AI Engineer candidates who enjoy translating technology into business impact and working closely with product teams and stakeholders.

All candidates should have a solid foundation in software delivery, production AI, and cross-functional product collaboration.

Deep expertise in selected areas is an advantage, but candidates are not expected to excel across every aspect of AI engineering.

You will ideally bring:

• Typically 4+ years of relevant experience building AI or software products; demonstrated scope and capability matter more than tenure alone
• Experience taking AI-centric applications from idea to production and/or contributing to a product or platform team
• Hands-on experience operating AI solutions in production, including evaluation, monitoring, reliability, and cost-performance trade-offs
• A sound foundation in statistical and machine-learning concepts together with practical experience of modern AI application patterns
• Strong programming and software engineering skills, including testing, documentation, APIs, and modern development practices such as CI/CD, preferably with GitHub
• Experience using AI-assisted development tools and coding agents effectively as part of software delivery
• Functional knowledge of modern AI interfaces and standards, such as model and tool integrations, MCP, and observability approaches
• Product sense and the ability to work with stakeholders to clarify needs, shape solutions, and explain technical choices to technical and non-technical audiences
• Ability to own substantial delivery areas, make sound technical and product decisions, and support other engineers
• Demonstrated ability to own an end-to-end AI delivery workstream, make technical and product trade-offs, align stakeholders, and support other engineers
• A collaborative mindset, good listening skills, self-motivation, and continuous curiosity about the evolving field of AI
• B.E/M.E/B.Tech/M.Tech/PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related technical discipline

Additional desirable but not required skills include:

• Familiarity with pharma-specific AI domains: clinical NLP, drug discovery AI, regulatory automation, or medical knowledge graphs
• Experience with Databricks, Snowflake, Azure ML, and Unity Catalog in an enterprise data/AI platform context
• Knowledge of MCP (Model Context Protocol) server design and enterprise AI platform architecture patterns