Agentic AI Engineer for AI &DS, BSI
Novartis
Skills Required
Description
The AI and Data Science Operations (BSI) team at Novartis is committed to enhancing decision-making by leveraging advanced AI technologies to deliver actionable insights that improve performance and productivity.
Company: Novartis
Role: Agentic AI Engineer for AI &DS, BSI
Location: Hyderabad | #LI-Hybrid
Experience:
- Minimum 7 years working in advance data science projects, including 2-3 years leading high-performing data science or ML teams from problem framing
- Experience delivering GenAI and agentic solution and proven ability to build and deploy scalable ML models using cloud services (AWS, Azure)
- 10-12 years of experience with Bachelor's degree in a related field
- 8-10 years of relevant experience with Master's degree
Qualification:
- Bachelor's degree in a related field
- Master's degree in a related field
- Certifications in GenAI/ML platforms (AWS/Azure) are a plus
- Master's in computer science or data science
Role Focus: • Develop and deploy scalable AI solutions, focusing on GenAI applications • Drive innovation by staying current with advancements in AI, particularly generative models and LLM technologies • Collaborate with a high-performing team of data scientists, ensuring alignment within AI and Data Science initiatives • Engage in hands-on development and guide best practices for code quality, version control, and ML/AI Ops pipelines • Collaborate with cross-functional teams to integrate AI-driven solutions across platforms and services • Champion a culture of experimentation and adoption of best practices, inspiring teams with a “can-do” attitude and acting as an AI role model
Nice to have:
- Experience in the commercial pharma industry
- Familiarity with Agile methodologies for project delivery
- Ability to balance operational execution with strategic thinking
- Strong collaboration skills with cross-functional teams
- Excellent communication skills for engaging senior leadership
More skills:
Large Language Models (LLMs), Machine Learning Model Deployment, AWS/Azure Cloud Services, Deep Learning & Foundation Models, Statistical Analysis & Reporting, Problem Solving
Prepare for this role
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