Morgan Stanley
AI Engineer - VP
$150K–$215K
New York, New York · On-site · Director · Full-time · Posted Oct 1, 2026
- Experience
- 6+ years.
About the job
Build and deploy scalable AI agents and supporting data systems, advancing GenAI solutions across technology and business initiatives.
What you'll do
- Design, implement, and operationalize distributed data flows for AI agents, handling batch and real-time data at scale.
- Build agent orchestration, calibration scoring, and guardrails; prototype and evaluate GenAI technologies and solutions.
- Collaborate across divisions and global teams to align on AI solutions, accelerate adoption, and share knowledge.
What they ask for
- 6+ years of experience building GenAI solutions and supporting components, including agent orchestration at scale.
- Expert-level Python (mandatory).
- Mastery of agent orchestration frameworks such as LangChain, LangGraph, CrewAI, and Microsoft's AutoGen.
- Expertise in LLM APIs, prompt engineering, and fine-tuning; ability to implement memory systems and RAG pipelines and integrate external APIs as tools.
Nice to have
- Familiarity with FastAPI, Node.js, or Go; Docker and Kubernetes.
- Experience with vector databases such as Pinecone or Weaviate.
Pay
$150,000 and $215,000 per year (USD, base salary)
Tools
LangChain, LangGraph, CrewAI, Microsoft's AutoGen, OpenAI, Anthropic, AWS Bedrock, Python
AI focus
Build and operationalize autonomous, multi-step AI agents using LLMs and reasoning models; develop agent orchestration, memory and RAG, tool integration, calibration scoring, and accuracy guardrails.
Model-written summary · the original posting is authoritative