This role pays less than
65%
of similar roles. Most pay
$165,000–$237,250
— the shaded band above.
At the midpoint, this role pays about
$185k
versus about
$201k
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
38 open roles
on FindRole.
Listed pay typically runs
$150,000–$210,000
across 31 roles with salary data.
As a Vice President within the Investment Banking and Global Capital Markets Technology team, the Generative AI & Machine Learning Engineer will lead the end-to-end design, development, and delivery of enterprise AI solutions in a fast-paced investment banking environment. This role involves architecting scalable platforms using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent agents while overseeing production deployment, MLOps, and CI/CD pipelines. The candidate will manage technical planning, code reviews, and infrastructure automation to ensure high-quality software delivery. Required skills include over ten years of experience in AI/ML and software engineering, with proficiency in Python, Java, and frameworks like LangChain or LangGraph. Technical expertise must include vector databases, microservices, containerization, and cloud-native architectures. The role focuses on solving complex engineering problems to build production-ready AI copilots and automated workflows for financial markets.
Generative AI
LLM
Vertex AI
GCP
Python
LangChain
RAG
Prompt Engineering
REST API
Flask
Spring
Java
C++
BigQuery
MLOps
CI/CD
NLP
Transformers
Linux
Snowflake
Hadoop
Generative AI
LLM
Vertex AI
GCP
Python
LangChain
RAG
Prompt Engineering
REST API
Flask
Spring
Java
C++
BigQuery
MLOps
CI/CD
NLP
Transformers
Linux
Snowflake
Hadoop