At Novartis, we are harnessing the power of Generative AI (GenAI) to reimagine medicine and transform how we discover, develop, and deliver treatments for patients worldwide.
As part of the DDIT Advanced Platforms & Data (APD) organization, the AI Platforms team is expanding to meet growing business demand.
The Associate Director, GenAI Architect will play a pivotal role in designing and delivering enterprise-grade GenAI solutions, with a strong focus on scalability, compliance, and business value. Based in India, this role will support global initiatives and work closely with senior leaders across APD and DDIT.
About the Role
Major accountabilities:
Solution Architecture & Delivery
+ Define and deliver
scalable AI solutions
across discovery, development, regulatory, and commercial functions.
+ Create and maintain
reference architectures, reusable components, and best practices
for GenAI adoption.
Business Partnership
+ Engage with business stakeholders to identify
high-value use cases
and translate requirements into technical solutions.
+ Act as a trusted advisor for GenAI solutioning across India and global teams.
Governance & Compliance
+ Ensure alignment with
responsible AI practices
and compliance with
HIPAA, GDPR, GxP, and EU AI Act
.
+ Embed security, transparency, and fairness principles into all architectures.
Innovation & Ecosystem Engagement
+ Evaluate and integrate new
LLM models, frameworks, and orchestration tools
(OpenAI, Anthropic, Llama, LangChain, LlamaIndex, DSPy).
+ Partner with startups, academia, and vendors to bring
cutting-edge GenAI innovation
to Novartis.
Leadership & Mentorship
+ Provide technical guidance to solution teams and
build GenAI capability
within the India hub.
+ Collaborate with peers across Novartis to ensure
global consistency and scalability
.
Minimum Requirements:
Bachelor's / Master's degree in Computer Science, Data Science, AI/ML, or equivalent. 12+ years in enterprise IT/solution architecture, including 4+ years in AI/ML and 2+ years in GenAI.
Experience in
pharma, life sciences, or healthcare industry
highly preferred.
Hands-on knowledge of
LLMs, vector databases, RAG, and multi-agent systems
.
Proven ability to design solutions across
multi-cloud environments
(Azure AI Foundry, AWS Bedrock).
Strong familiarity with
regulatory frameworks
and AI governance.
Why consider Novartis?
Our purpose is to reimagine medicine to improve and extend people's lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us!
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here:
https://talentnetwork.novartis.com/network
Why Novartis:
Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network:
Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
Benefits and Rewards:
Read our handbook to learn about all the ways we'll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
Division
Operations
Business Unit
Universal Hierarchy Node
Location
India
Site
Hyderabad (Office)
Company / Legal Entity
IN10 (FCRS = IN010) Novartis Healthcare Private Limited
Functional Area
Technology Transformation
Job Type
Full time
Employment Type
Regular
Shift Work
No
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