Manager - Data Science

Location – Hyderabad  #LI Hybrid

• Lead the design and implementation of sophisticated agentic AI systems, including multi-agent orchestration and autonomous workflows
• Define architectural standards for agent development, including tool integration, memory management, and inter-agent communication protocols
• Establish comprehensive evaluation frameworks for agentic systems, measuring task completion, reasoning quality, and safety compliance
• Design and implement guardrails for autonomous agents, including behavioral boundaries, output validation, and fallback mechanisms
• Drive hands-on prototyping of complex agent systems while providing technical oversight to development teams
• Create testing methodologies for agent reliability, including edge case handling, adversarial testing, and performance benchmarking
• Balance technical depth with strategic thinking to identify where agentic AI can transform business processes
• Lead technical reviews of agent architectures, personally debugging complex multi-agent interaction issues
• Implement LLMOps and agent lifecycle workflows, including versioning, prompt management, evaluation pipelines, and performance monitoring.
• Drive experimentation with emerging agent tooling, frameworks, and orchestration patterns to maintain a cutting-edge internal capability.
• Document reference architectures, reusable components, and best practices to accelerate agent development across teams.
• Conduct technical deep dives and capability assessments to ensure readiness of agentic systems for production deployment.

Essential Requirements:

• 6+ years in AI/ML with maximum 1-2 years in generative AI and demonstrated expertise in agentic systems
• Hands-on coding experience with complex agentic AI implementations, including multi-agent systems and tool-use agents
• Deep technical knowledge of agent evaluation metrics: task success rates, reasoning traces, tool-use efficiency, and safety violations
• Proven experience implementing production guardrails: content filtering, action limitations, human-in-the-loop systems
• Strong understanding of agent architectures: ReAct, Plan-and-Execute, Reflexion, and emerging patterns

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/roadmap/people-and-culture 

Commitment to Diversity & Inclusion: 

Novartis is committed to building an outstanding, inclusive work environment and diverse team’s representative of the patients and communities we serve. 

Values and Behaviors: Demonstrates and upholds Novartis values and behaviors in all aspects of work and collaboration. 

Location: Hyderabad NKC. Hybrid | 3 days a week in office is mandatory.