The Role
Leads the end-to-end design, engineering, and delivery of enterprise AI, generative AI, and agentic AI solutions. Defines scalable architectures, platforms, engineering standards, and technology roadmaps; develops retrieval-augmented generation pipelines, APIs, microservices, and cloud-native applications. Oversees security, privacy, reliability, responsible AI, DevOps, budgets, risks, vendors, and stakeholder communications while mentoring engineering teams and driving innovation.
Summary Generated by Built In
Job Description Summary
Internal Job Title: Associate Director DDIT AI & GenAI Engineering#LI-Hybrid
Location: Hyderabad, India
Relocation Support: Yes
Are you passionate about shaping the future of Artificial Intelligence at global scale? Join Novartis and play a pivotal role in transforming how innovative medicines are discovered, developed, and delivered. As Associate Director AI & GenAI Engineering, you will lead the design, engineering, and delivery of cutting-edge Generative Artificial Intelligence and agentic AI solutions that drive meaningful business outcomes and improve patient lives. Working at the intersection of advanced technology, enterprise platforms, and scientific innovation, you will help turn bold ideas into production-ready solutions while influencing the future of AI across Novartis.
Job Description
Key Responsibilities
- 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.
Essential Requirements
- 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.
Desirable Requirements
- 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.
Commitment to Diversity and Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
Accessibility and accommodation
Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message
Skills Desired
Artificial Intelligence (AI), Biostatistics, Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSkills Required
- 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
- Experience leading artificial intelligence engineering teams and complex enterprise delivery programs
- Expertise in generative artificial intelligence, large language models, retrieval-augmented generation, and agentic AI
- Hands-on experience developing Python applications, APIs, microservices, and cloud-native solutions
- Experience with Amazon Web Services or Microsoft Azure AI services and enterprise data platforms
- Knowledge of MLOps, LLMOps, DevSecOps, continuous integration, and continuous delivery
- Ability to manage senior stakeholders, delivery risks, vendors, budgets, and cross-functional teams
- 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
Novartis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Novartis and has not been reviewed or approved by Novartis.
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Healthcare Strength — Pay and benefits are described as a strong overall package, supported by medical, dental, and vision insurance alongside FSAs/HSAs and disability and life coverage. Mental-health support is reinforced through an employee assistance program with psychological support and a network of mental health first aiders.
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Retirement Support — Retirement support is positioned as a standout element, with an automatic company contribution plus dollar-for-dollar matching in the 401(k). Additional retirement funding is described through an age-based defined contribution program and access to an employee share purchase plan discount.
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Parental & Family Support — Family-related benefits are framed as robust, including a global minimum of paid parental leave for new parents following birth or adoption. Added supports include domestic partner coverage, dependent-care resources, and benefits such as adoption assistance and child/elder care options.
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The Company
What We Do
Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide.
