Associate Director AI & GenAI Engineering

Overview

Lead the design, engineering, and delivery of generative artificial intelligence and agentic AI solutions that support business outcomes and patient lives. Work across advanced technology, enterprise platforms, and scientific innovation to turn ideas into production-ready solutions and influence the future of AI across Novartis.

What you'll do

• Lead end-to-end delivery of enterprise AI and GenAI solutions from concept through production.
• Define scalable AI architectures, platform capabilities, engineering standards, and technology roadmaps.
• Partner with business stakeholders to transform workflows into intelligent, AI-enabled experiences.
• Drive rapid prototyping and minimum viable product development for high-value business opportunities.
• Provide technical leadership across generative artificial intelligence, agentic AI, machine learning, and semantic search.
• Design and optimize AI platforms, retrieval-augmented generation pipelines, APIs, and cloud-native applications.
• Establish engineering best practices for automation, observability, continuous integration, and continuous delivery.
• Ensure solutions meet security, privacy, regulatory, reliability, performance, and responsible AI standards.
• Manage delivery plans, dependencies, risks, budgets, and stakeholder communications across initiatives.
• Mentor engineering teams and foster a culture of innovation, technical excellence, and continuous learning.

What you'll need

• Bachelor’s degree in Computer Science, Artificial Intelligence, Engineering, or a related field.
• 12+ years of experience in software engineering, artificial intelligence, machine learning, or digital technology.
• Proven experience leading artificial intelligence engineering teams and complex enterprise delivery programs.
• Strong expertise in generative artificial intelligence, large language models, retrieval-augmented generation, and agentic AI.
• Hands-on experience developing Python applications, application programming interfaces, microservices, and cloud-native solutions.
• Experience with Amazon Web Services or Microsoft Azure artificial intelligence services and enterprise data platforms.
• Strong knowledge of machine learning operations, large language model operations, DevSecOps, continuous integration, and continuous delivery.
• Demonstrated ability to manage senior stakeholders, delivery risks, vendors, budgets, and cross-functional teams.

Nice to have

• Master’s degree in Computer Science, Artificial Intelligence, Engineering, or a related field.
• Professional certifications in cloud, artificial intelligence, machine learning, or software engineering technologies.

Details

• Location: Hyderabad, India.
• Work mode: Hybrid.
• Relocation support is available.