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Strong employer and Bangalore location increase competition, but senior specialized AI skillset narrows applicant pool.
Role requires deep AI engineering and pharma regulated-experience, limiting cross-industry transferability.
Explicit 8+ years, production AI expertise, and regulated-pharma requirements create stringent shortlisting.
Lead AI use cases from discovery through production and continuous improvement across Novo Nordisk business areas such as Commercial, Global Manufacturing & Supply.
Engineer the AI intelligence layer including data transformations, model integrations, decision logic, user-facing services, and human oversight controls in a regulated pharma environment.
Provide technical direction, align stakeholders, and coach engineers on complex AI product deliveries while collaborating closely with product managers and domain experts.
Typically 8+ years experience building AI or software products with demonstrated scope and capability.
Strong software engineering skills including testing, documentation, APIs, modern development practices such as CI/CD, and experience operating AI products in production.
Bachelor’s or Master’s degree (B.E/M.E/B.Tech/M.Tech/PhD) in Computer Science, AI, Machine Learning, Data Science, or related technical discipline.
Experience with statistical and machine learning concepts and practical modern AI application patterns.
Experienced in translating AI technology into business impact in cross-functional product teams within enterprise settings.
Demonstrated ability to set technical direction and raise engineering standards across multiple AI deliveries or teams through coaching and reusable engineering patterns.
Familiar with regulated pharmaceutical or healthcare environments, cloud-native AI technologies (Azure, AWS), and AI operational best practices including observability and Responsible AI compliance.