Principal AI Engineer
Novo Nordisk (company site, opens in a new tab)12+ yrsBengaluruOn-siteDirect career pageEst. 45–70 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end delivery of AI-centric use cases from discovery, prototyping to production and continuous improvement across multiple strategic business areas.
- Define and drive technical direction, architecture, engineering standards, and reusable patterns for a complex portfolio of AI products ensuring reliability, security, and observability in a regulated pharmaceutical environment.
- Collaborate with product managers, domain experts, and engineers to shape AI product outcomes, including engineering intelligence layers incorporating models, tools, knowledge grounding, and human-oversight controls.
Minimum Requirements
- Typically 12+ years of relevant experience building AI or software products with demonstrated scope and influence.
- Degree required: B.E/M.E/B.Tech/M.Tech/PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related technical discipline.
- Strong programming and software engineering skills including testing, documentation, APIs, CI/CD, preferably experience with GitHub.
- Experience working in regulated pharmaceutical environments applying Responsible AI, data integrity, validation, and auditability is expected.
Ideal Candidate Profile
- Experienced in setting enterprise-wide AI architecture and engineering standards and coaching senior engineers without formal authority.
- Proficient in working at the intersection of AI engineering, product management, and business stakeholders for complex AI products in a global healthcare enterprise.
- Hands-on with modern AI application patterns, AI-assisted development tools, and cloud-native AI solutions across Azure/AWS platforms with knowledge of model/tool integrations and observability.