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Hyderabad, Telangana, India
Onsite
Job Description Summary
Location: Hyderabad
Job Description
Major accountabilities
AI Productivity & LCNC Solutioning
Design and deliver AI solutions using Copilot Studio, Amazon QuickSuite, NotebookLM, and similar tools.
Implement RAG‑based solutions, prompt workflows, and lightweight agent patterns.
Enable rapid prototyping and MVPs for business teams.
Product Delivery
Defining the key features, specifications and requirements of the product based on customer preferences
Assess business requirements and provide recommendations to business on optimal solution
Enforce architectural standards and best practices for low/no code development
Creating project timeline and implementation schedules. Provide technical guidance and mentorship to BUs to adopt AI tools. Proven experience architecting RAG/Graph AI applications, enabling multi-agent workflows, and designing LLM/prompt fine-tuning and data/context pipelines
Hands-on experience delivering solutions in SaaS and/or PaaS environments
Strong understanding of GenAI concepts, including RAG patterns, indexing strategies, and LLM architectures
Core expertise in AI productivity tools and low/no-code platforms (Copilot Studio, Azure AI Foundry, NotebookLM, Copilot, Claude, etc.), complemented by strong AWS or Microsoft ecosystem skills
Experience in designing and architecting solutions using SharePoint Online, Dataverse, Power Platform (Flows, Spaces), and similar low/no-code environments
Solid experience with Microsoft 365, including governance frameworks, policy definition, process design, and license management
Proficiency in DevOps for managing development lifecycle, CI/CD, and delivery pipelines
Stakeholder and Vendor Leadership
Ensure alignments with AI practices and compliance processes in NVS i.e., Security (IAM, GDPR), Platform Efficiency, GxP Standards etc.
Governance & Compliance
Ensure alignments with responsible AI practices and compliance processes in NVS i.e., Security (IAM, GDPR), Platform Efficiency, GxP Standards etc.
Minimum Requirements
Bachelor’s / Master’s degree in related field
Minimum 8 years of overall experience and solid understanding of GenAI fundamentals (LLMs, RAG, prompting) with hands-on experience in AI/LCNC tools.
Proven ability to deliver end-to-end AI use cases (PoC to MVP) in enterprise environments.
Capability to translate business needs into scalable, compliant technical solutions.
Strong stakeholder engagement and collaboration skills across business and technical teams.
Working knowledge of cloud platforms and adherence to security, governance, and compliance standards.
Why 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!
Learn more here:
https://www.novartis.com/about/strategy/people-and-culture
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.
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
Skills Desired
Generative AI