Lead AI Engineer, GenAI & Multi-Agent Platform

Morgan Stanley; New York (NY); On-site; USD 150,000 - 215,000; Full time

Job summary

Morgan Stanley is seeking a Lead Software Engineer (VP) in the Technology division to drive GenAI‑based agent orchestration and scalable AI solutions. You’ll work with teams in the US and India to design robust architectures and shepherd multi‑agent workflows from prototype to production.

The role demands 6+ years in GenAI, strong Python and backend skills, and experience with LangChain, LangGraph, and AutoGen, plus containerized deployments with Docker and Kubernetes.

Qualifications

• 6+ years of experience building GenAI solutions and orchestrations at scale.
• Experience with multi-agent workflows and agent orchestration frameworks.
• Deep expertise in LLM APIs, prompt engineering and RAG pipelines.

Responsibilities

• Lead hands-on engineering to build and deploy AI agents at scale.
• Collaborate across divisions to align AI solutions and demonstrate POCs.
• Evaluate GenAI technologies and prototype scalable architectures.
• Design and operationalize distributed data flows for batch and real-time use by AI agents.

Skills

GenAI solutions

Agent orchestration

LangChain

LangGraph

AutoGen

LLM APIs

Prompt engineering

Vector databases

Pinecone

Weaviate

Function calling

Python

FastAPI

Docker

Kubernetes

Go

Node.js

Tools

LangChain

LangGraph

CrewAI

AutoGen

OpenAI

Anthropic

AWS Bedrock

Pinecone

Weaviate

Job description

Morgan Stanley is seeking a Lead Software Engineer (VP) in the Technology division to drive GenAI‑based agent orchestration and scalable AI solutions. You’ll work with teams in the US and India to design robust architectures and shepherd multi‑agent workflows from prototype to production.

The role demands 6+ years in GenAI, strong Python and backend skills, and experience with LangChain, LangGraph, and AutoGen, plus containerized deployments with Docker and Kubernetes.