Senior Applied Scientist, GenAI & ML Systems

Location: Pune, India

 

About the Role

We are seeking a highly experienced Senior Applied Scientist, GenAI & ML Systems, to lead the design, architecture, and implementation of advanced agentic AI / GenAI systems within our next-generation supply chain platforms. In this role, you will build and evolve complex multi-agent systems capable of reasoning, planning, and executing workflows in dynamic and often non-deterministic environments. You will also be responsible for developing robust approaches to testing, validation, observability, and reliability of AI-driven behavior in production.

This role is ideal for a senior technical leader with deep experience in cloud-native SaaS development, AI-driven automation, and modern software engineering practices. Experience in life sciences supply chain or regulated industry ecosystems is a significant advantage.

Key Responsibilities

• Architect and deliver agentic AI / GenAI capabilities that automate and coordinate complex supply chain workflows at scale.

• Design and implement non-deterministic multi-agent systems, including agent coordination, tool execution, planning, memory, and feedback loops.

• Own technical strategy for building reliable AI systems, including:

  • agent evaluation frameworks

  • simulation-based testing

  • regression suites for non-deterministic outputs

  • validation of agent decision-making and outcomes

• Build and operationalize advanced knowledge retrieval systems, including RAG pipelines, hybrid retrieval, ranking, and domain-grounding strategies.

• Design scalable backend services and system infrastructure using Java and Python, ensuring production-grade performance, security, and observability.

• Implement AI system monitoring and feedback loops, including agent trace capture, prompt/tool auditing, and performance metrics.&