Lead AI Platform Engineer, Guardrails

US Bank

Confirmed live yesterday High trust
Closes in 3 days

Quick summary

Work type
On-site
Location
Chicago, ILMinneapolis, MNCupertino, CACharlotte, NCCincinnati, OHHopkins, MN
Salary
$139,230–$163,800 / yr
Posted
4 days ago
Freshness
Confirmed live yesterday
Closes
Sep 27, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $196k
This role $152k
$128k most similar roles pay here $247k

This role pays less than 81% of similar roles. Most pay $161,250–$231,150 — the shaded band above. At the midpoint, this role pays about $152k versus about $196k for comparable roles.

Based on 240 similar postings.

Employer

About US Bank

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 34 open roles on FindRole.

Listed pay typically runs $119,765–$140,900 across 28 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Lead AI Platform Engineer, Guardrails

Lead AI Platform Engineer - Guardrails is a senior technical role focused on designing, developing, and operationalizing enterprise-scale Generative AI solutions. The engineer will build intelligent systems using Large Language Models, Retrieval-Augmented Generation architectures, prompt engineering, and agentic AI workflows. Day-to-day responsibilities include managing the full GenAIOps lifecycle, including integration with enterprise systems, monitoring, and ensuring security in regulated environments. The role requires expertise in Python, microservices, Docker, Kubernetes, and Infrastructure as Code tools like Terraform or Bicep across AWS and Azure clouds. Key technologies include LangChain, LangGraph, and vector databases. This position addresses the challenge of creating secure, scalable, and resilient AI capabilities that meet strict enterprise standards for risk and compliance within a highly regulated financial services context, while providing technical leadership and mentorship to engineering teams.

What you'll do

  • Design and deploy enterprise-scale GenAI solutions using LLMs, RAG architectures, and agentic AI workflows.
  • Build intelligent systems using frameworks like LangChain, LangGraph, AWS Bedrock, and Microsoft Foundry.
  • Manage the full GenAIOps lifecycle including monitoring, observability, and cost-efficient production deployment.
  • Architect distributed systems on AWS and Azure using Docker, Kubernetes, and Infrastructure as Code.
  • Develop scalable microservices in Python while ensuring compliance with security and risk standards.
  • Build and manage CI/CD pipelines to automate testing and release management for AI applications.
  • Provide technical leadership by mentoring engineers and making critical architectural decisions for complex projects.
  • Translate business requirements into secure, production-ready technical solutions for regulated environments.

What we're looking for

  • Bachelor’s degree or equivalent work experience in Computer Science, Engineering, or a related field.
  • 8+ years of experience in software engineering, platform engineering, or AI/ML solutions.
  • 2+ years of hands-on experience with GenAI technologies, including LLMs, RAG architectures, and vector databases.
  • Proficiency in Python and microservices-based development.
  • Experience with cloud platforms (Azure and/or AWS), Docker, Kubernetes, and Infrastructure as Code tools.
  • Demonstrated technical leadership and mentoring experience.
  • Experience implementing GenAI solutions in enterprise or regulated environments (preferred).
  • Familiarity with AI governance, security, compliance requirements, and financial services industries (preferred).

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