Sr AI Engineer

About the role

This is a Lead Software Engineering position at the Vice President level within the Technology division of Morgan Stanley. The role is part of the job family responsible for developing and maintaining software solutions that support business needs.

Responsibilities

• Partner with the Advanced Analytics, Machine learning and Gen AI Platform team(s), across multiple project areas, and work in collaboration with team(s) in India & US.
• Build autonomous systems that can reason, use tools, and complete multi-step tasks using LLMs/Reasoning models.
• Build calibration scoring and guardrails for agent accuracy.
• Part of the overall cloud adoption and engineering roadmap and ensure scalable, agile and robust architecture and implementation.
• Work in a dynamic environment with limited or no supervision and knowledge share across other team members.
• Manage time working with global team on multiple initiatives.

Qualifications

• Experienced professional with 6+ years of experience working towards building GenAI solutions & supporting components design, architecture, development, and operationalization of agent orchestrations at scale.
• Mastery of frameworks like LangChain, LangGraph, CrewAI, and Microsoft's AutoGen to build multi-agent workflows.
• Deep expertise in LLM APIs (OpenAI, Anthropic, AWS Bedrock), prompt engineering (Chain-of-Thought), and fine-tuning for specific agentic behaviors.
• Ability to implement complex memory systems, including vector databases (Pinecone, Weaviate) and Retrieval-Augmented Generation (RAG) pipelines.
• Proficiency in integrating external APIs as agent "tools," including function calling and error handling for malformed model outputs.
• Expert-level Python (mandatory), often paired with FastAPI, Node.js, or Go. Familiarity with Docker and Kubernetes for containerized deployment is standard.
• Ability to work in Fast paced and Dynamic environment.
• Good written and verbal communication skills.