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Mid-level AI role in Bangalore with broad generalist requirements, attracting many qualified applicants.
Core AI engineering skills transfer across industries, though pharma regulatory experience increases domain specificity.
Explicit 4+ years, required production AI experience, and regulated-pharma controls raise filtering rigor.
Own end-to-end delivery of AI-centric products from prototyping through production and continuous improvement across Novo Nordisk business units.
Engineer product-specific AI intelligence layers including data transformations, decision logic, model/tool integrations, human oversight, and fallback systems.
Collaborate with product managers, domain experts, data scientists, and engineers to frame AI problems, shape build priorities, make technical/product decisions, and support junior engineers.
4+ years relevant experience building AI or software products and delivering AI-centric applications to production.
Strong programming and software engineering skills with modern practices including testing, CI/CD, and code quality standards.
B.E/M.E/B.Tech/M.Tech/PhD in Computer Science, AI, Machine Learning, Data Science, or related technical field.
Experience in production AI solution operation with evaluation, monitoring, reliability, and security in regulated environments.
Experienced in managing substantial AI delivery workstreams and making sound technical and product trade-offs in a cross-functional product team.
Demonstrates strong product sense and stakeholder collaboration skills, able to clarify needs and communicate with both technical and non-technical audiences.
Comfortable working in regulated pharmaceutical domain with Responsible AI practices and enterprise cloud-native platforms (Azure, AWS, Databricks, Snowflake).