AI / ML Engineer

Morgan Stanley

Quick summary

Work type
On-site
Location
New York, NY
Salary
$120,000–$165,000 / yr
Posted
4 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $194k
This role $142k
$107k most similar roles pay here $239k

This role pays less than 87% of similar roles. Most pay $162,000–$226,600 — the shaded band above. At the midpoint, this role pays about $142k versus about $194k for comparable roles.

Based on 240 similar postings.

Employer

About Morgan Stanley

Morgan Stanley is a global financial services firm providing investment banking, securities, wealth management, and investment management services to corporations, governments, institutions, and individuals. Industry: Investment Banking & Financial Services

Morgan Stanley currently has 33 open roles on FindRole.

Listed pay typically runs $150,000–$210,000 across 29 roles with salary data.

Most-posted roles

View all roles at Morgan Stanley

At a glance

TL;DR · AI / ML Engineer

This Software Engineering III position at the Director level involves partnering with Advanced Analytics, Machine Learning, and Gen AI Platform teams globally to build autonomous systems using LLMs and reasoning models. The role includes designing calibration scoring and guardrails for agent accuracy, contributing to cloud adoption and engineering roadmaps, and ensuring scalable architecture. Day-to-day responsibilities entail evaluating state-of-the-art ML technologies, prototyping solutions, and implementing distributed data flows at scale. Candidates must have deep expertise in GenAI solution design, LLM APIs like OpenAI and Anthropic, memory management with vector databases, and proficiency in Python, FastAPI, Docker, Kubernetes, and MLOps. The position requires working in a fast-paced environment with global teams on multiple initiatives.

What you'll do

  • Design and implement distributed data flows for AI Agents at scale.
  • Evaluate and prototype state-of-the-art GenAI technologies to enhance platform architecture.
  • Build autonomous systems using LLMs, including calibration scoring and guardrails.
  • Master agent orchestration frameworks like LangChain and AutoGen for multi-agent workflows.
  • Implement complex memory systems and RAG pipelines for AI agents.
  • Integrate external APIs as tools for AI agents with robust error handling.

What we're looking for

  • 2+ years of experience building GenAI solutions and supporting components.
  • Mastery of agent orchestration frameworks like LangChain, LangGraph, CrewAI, and AutoGen.
  • Deep expertise in LLM APIs, prompt engineering, and fine-tuning for specific behaviors.
  • Ability to implement complex memory systems and RAG pipelines with vector databases.
  • Proficiency in integrating external APIs as agent tools, including function calling.
  • Expert-level Python skills, familiarity with Docker and Kubernetes for deployment.
  • Understanding of the end-to-end ML lifecycle and operationalizing models in production.

More like this

Similar roles

AI/ML Engineer

Lam Research

Fremont, CA 86 days ago $119,000$261,000
Python C++ PostgreSQL SQLite MySQL Git Domain-Driven Design Test-Driven Development CI/CD
Hybrid

AI/ML Engineer

Ann & Robert H. Lurie Children's Hospital of Chicago

Chicago, IL 10 days ago $99,840$164,736
Python SQL Snowflake Epic-built technologies RAG Streamlit React HIPAA GDPR CI/CD

AI/ML Engineer

Booz Allen Hamilton

McLean, VA +1 6 days ago
Python PyTorch Keras LLMs LangGraph MCP A2A AWS CI/CD

AI/ML Engineer

Booz Allen Hamilton

Norfolk, VA 82 days ago $77,500$176,000
Python Spark Hadoop Databricks C# Java C++ Rust

AI/ML Engineer

Booz Allen Hamilton

Norfolk, VA 25 days ago
Python Spark Hadoop Databricks C # Java Rust

AI/ML Engineer

Chime

San Francisco, CA 17 days ago
Python AWS Kubernetes Terraform Docker CI/CD Prometheus Grafana PostgreSQL TensorFlow PyTorch Scikit-learn Pandas Jupyter Git MLflow Airflow Snowflake Redis
Hybrid