Lead AI Engineer
Novo Nordisk5 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Take AI- and ML-centric use cases from discovery and rapid prototyping through production and continuous improvement.
- Build product-specific intelligence layers covering data and feature transformations, decision logic, model and tool integrations, knowledge grounding, user-facing services, human oversight, and fallback behavior.
- Partner with product managers, domain experts, data scientists, engineers, and stakeholders to frame problems, define priorities, and establish meaningful product outcomes.
- Develop reliable, scalable, secure, and observable AI solutions with appropriate testing, evaluation, documentation, and delivery practices.
- Apply Responsible AI, data integrity, validation, traceability, and auditability requirements in a regulated pharmaceutical environment.
- Reuse shared AI Foundation capabilities and create reusable components, engineering patterns, and lessons from individual deliveries.
- Provide technical direction, align complex stakeholder groups, resolve cross-team trade-offs, and coach engineers without formal authority.
- Use AI-assisted development tools and coding agents productively and responsibly while maintaining code quality and review standards.
Requirements
- Typically 8+ years of relevant experience building AI or software products.
- 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.
- Strong programming and software engineering skills, including testing, documentation, APIs, and modern development practices, preferably with GitHub.
- Sound knowledge of statistical and machine-learning concepts and practical experience with modern AI application patterns.
- Experience with AI-assisted development tools and coding agents as part of software delivery.
- Functional knowledge of modern AI interfaces and standards, including model and tool integrations, MCP, and observability approaches.
- Product sense and the ability to clarify needs, shape solutions, and explain technical choices to technical and non-technical audiences.
- Demonstrated ability to set technical direction across multiple AI deliveries or teams, resolve ambiguous cross-team trade-offs, and improve engineering standards through coaching and reusable patterns.
- B.E., M.E., B.Tech., M.Tech., PhD, or equivalent technical education in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related discipline.
- Desirable experience includes clinical NLP, drug discovery AI, regulatory automation, medical knowledge graphs, Databricks, Snowflake, Azure ML, Unity Catalog, MCP server design, and enterprise AI platform architecture.
Benefits
- Continuous learning and career development opportunities.
- Benefits tailored to employees' life and career stages.
- Inclusive recruitment process and equal opportunity commitment.
- Role based in Bengaluru, India, within a global, multinational healthcare organization.