Advanced AI Engineer

Job description

Department: AI Reinvent & Engineering, Enterprise AI Company: Novo Nordisk Global Business Services (GBS),Bengaluru, India Are you passionate about applying AI to improve patients' lives? Do you enjoy building innovative products that solve real business challenges? Are you motivated by working with talented colleagues across technology, data, and business domains? If so, you could be the next Advanced AI Engineer in Enterprise AI at Novo Nordisk. Join us to help transform AI opportunities into scalable solutions that create meaningful impact across our global organisation and support our purpose of defeating serious chronic diseases. Your New Role As an Advanced AI Engineer, you will help design, build, and operate AI-powered products that generate value across Novo Nordisk. You will be part of AI Reinvent & Engineering and work closely with cross-functional product teams across areas such as Commercial, Global Manufacturing & Supply, and strategic business initiatives. In this role, you will collaborate with product managers, domain experts, data scientists, and software engineers to deliver robust AI solutions from concept to production. You will combine strong software engineering practices with practical AI expertise to develop solutions that are scalable, secure, and aligned with business needs. Your Responsibilities Will Include • Taking AI- and ML-centric use cases from discovery and rapid prototyping through production and continuous improvement, collaborating with product managers, data scientists, engineers, and domain experts • Engineering the product-specific intelligence layer, including data and feature transformations, decision logic, model and tool integrations, knowledge grounding, user-facing services, human-oversight controls and appropriate fallback behaviour • Partnering with stakeholders and product managers to frame problems, shape the build, agree priorities, and define meaningful product outcomes • Using AI-assisted development tools and coding agents productively and responsibly while maintaining high standards for code quality and review • Engineering reliable, scalable, secure, and observable solutions with appropriate testing, evaluation, documentation, and CI/CD practices • Applying Responsible AI, data integrity, validation, traceability, and auditability requirements in a regulated pharmaceutical environment • Working with the AI Foundation team to reuse shared capabilities and turn lessons from individual deliveries into reusable components and engineering patterns • Taking independent ownership of defined solution components and contributing to technical and product decisions Your New Department Enterprise AI is responsible for accelerating the use of AI across Novo Nordisk. We work closely with business teams to identify opportunities where AI can create meaningful impact and deliver solutions that support colleagues and ultimately improve outcomes for patients. Within Enterprise AI, AI Reinvent & Engineering transforms AI ideas into real-world products. The AI Engineering Solutions team brings together professionals with expertise in AI, machine learning, software engineering, and data science. While you will belong to a strong engineering community, you will also work directly with product teams across different business areas. This enables us to stay connected to business needs while continuously developing shared capabilities and engineering excellence. Our technology landscape includes cloud-native platforms and modern AI technologies, such as Azure, AWS, Databricks, Snowflake, foundation models, and AI application frameworks. Your Skills & Qualifications We are looking for someone who enjoys solving complex problems, working collaboratively, and turning technology into business value. To Succeed In This Role, You Will Ideally Have • Typically 2+ 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 work independently on defined delivery areas and contribute sound technical and product judgement • Demonstrated ability to independently take a defined AI solution component from problem framing through production and iteration • 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 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 Working at Novo Nordisk Every day we s