Senior AI Engineer
Novartis · Healthcare & Pharma
- Hyderabad (Office)
- On-site
- Posted today
- Apply by 13 Oct
- Data & AI
About the job
Job Description Summary
Internal Job Title: Sr. Specialist DDIT US&I AI Engineering
#LI-Hybrid
Location: Hyderabad, India
Relocation Support: Yes
Are you passionate about turning cutting-edge Artificial Intelligence innovations into real-world business impact? As a Sr. Specialist DDIT US&I AI Engineering, you will play a key role in shaping the future of enterprise AI by designing and delivering scalable, secure, and production-ready generative AI and agentic AI solutions. Working at the intersection of cloud engineering, intelligent agents, machine learning, and enterprise data platforms, you will transform complex business opportunities into innovative solutions that improve how we discover insights, automate processes, and create value. This is an exciting opportunity to influence AI strategy, build next-generation capabilities on AWS and Snowflake, mentor engineering teams, and drive the adoption of responsible AI in a highly regulated, global environment.
Job Description
Key Responsibilities
Essential Requirements
Desirable Requirements
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 diversityandincl.india@novartis.com 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, 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 Analysis