Agentic AI Engineer for AI &DS, BSI

About the job

Job Description Summary -Level 4: Data Scientist 1 Location: Hyderabad | #LI-Hybrid About the Position 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. We work closely with international business units to generate innovative ideas and data-driven insights, enabling informed strategic decisions. This role will be contributing to the development and execution of a multi-year AI strategy and roadmap aimed at optimizing operational efficiency and driving organizational growth. By staying at the forefront of advancements in generative AI and large language models (LLMs), the Agentic AI engineer ensures and execute cutting-edge technologies. As a key member of the AI and DS BSI team, you will design, pilot, and scale AI solutions with more focus on GenAI and Agentic AI aligned with the broader International AI strategy, transforming business processes and outcomes. Key Responsibilities • Develop and deploy of 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. Minimum Requirements • Education: • Bachelor’s degree in a related field with 10-12 years of experience, or • Master’s degree with 8-10 years of relevant experience. • Certifications in GenAI/ML platforms (AWS/Azure) are a plus. • 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). • Technical Expertise: • Deep understanding of autonomous AI agents and frameworks such as LangGraph, LangFuse, Chain of Thought (CoT), and ReACT. • Strong background in Retrieval-Augmented Generation (RAG) and knowledge grounding techniques. • Strong knowledge of LLMs, classical ML/DL algorithms, time series analysis, and core statistical methods. • Proficiency in Python and hands-on experience deploying models in production environments. Business Acumen: • Ability to translate complex algorithmic outputs into clear, outcome-oriented narratives for senior leadership. Preferred Requirements • Experience in the commercial pharma industry. • Master’s in computer science or data science. • 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.

Requirements

• Generative AI
• Large Language Models
• Python
• AWS
• Azure

Qualifications

• Bachelor’s degree in a related field with 10-12 years of experience
• Master’s degree with 8-10 years of relevant experience

Preferred Technologies

• Generative AI
• Large Language Models
• Python
• AWS
• Azure

About the company

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. We work closely with international business units to generate innovative ideas and data-driven insights, enabling informed strategic decisions. This role will be contributing to the development and execution of a multi-year AI strategy and roadmap aimed at optimizing operational efficiency and driving organizational growth. By staying at the forefront of advancements in generative AI and large language models (LLMs), the Agentic AI engineer ensures and execute cutting-edge technologies.