Generative AI & Machine Learning Engineer
Morgan Stanley
Quick summary
Market check
How this pay compares to similar roles
This role pays less than 98% of similar roles. Most pay $142,575–$212,582 — the shaded band above. At the midpoint, this role pays about $107k versus about $178k for comparable roles.
Based on 240 similar postings.
Employer
U.S. Bank (U.S. Bancorp) is the fifth-largest bank in the United States, providing retail banking, corporate and commercial banking, wealth management, and payment services to millions of customers. Industry: Banking & Financial Services
US Bank currently has 36 open roles on FindRole.
Listed pay typically runs $119,765–$140,900 across 34 roles with salary data.
Most-posted roles
At a glance
Software engineer 1 – AI/ML Engineer (Generative AI) joins the team to design, develop, test, and maintain high-quality software experiences. The role focuses on building and supporting Generative AI applications using LLMs, RAG architectures, and prompt engineering techniques. Day-to-day responsibilities include developing scalable applications and APIs using Python and microservices-based architectures while managing AI workflows through frameworks like LangChain, LangGraph, and Microsoft Foundry Agent Services. The engineer will also manage deployment, monitoring, and performance optimization of AI solutions across Azure and AWS platforms. Technical requirements include proficiency in Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code tools such as Terraform, ARM, or Bicep. This role addresses the technical challenge of deploying production-ready, cloud-native AI solutions while adhering to strict software engineering standards and agile development practices within a collaborative team environment.
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What you'll do
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