Lead Software Architect Engineer, Generative AI Platforms

US Bank

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Chicago, ILCincinnati, OHCupertino, CACharlotte, NCHopkins, MN
Salary
$139,230–$163,800 / yr
Posted
4 days ago
Freshness
Confirmed live today
Closes
Sep 25, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $213k
This role $152k
$126k most similar roles pay here $261k

This role pays less than 89% of similar roles. Most pay $180,262–$246,150 — the shaded band above. At the midpoint, this role pays about $152k versus about $213k 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 36 open roles on FindRole.

Listed pay typically runs $119,765–$140,900 across 34 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Lead Software Architect Engineer, Generative AI Platforms

Lead Software Architect Engineer (Generative AI Platforms) is responsible for designing, developing, and deploying enterprise-scale Generative AI solutions within a collaborative engineering and product environment. The role focuses on building intelligent workflows and production-ready applications using Large Language Models, Retrieval-Augmented Generation, and Agentic AI architectures. Day-to-day responsibilities include implementing GenAIOps processes, managing containerized workloads, and ensuring high availability across cloud environments. The candidate will utilize a technical stack including Python, LangChain, LangGraph, Semantic Kernel, and Microsoft Foundry Agent Services. Infrastructure management involves Docker, Kubernetes, and Infrastructure as Code tools like Terraform, ARM, or Bicep. This position addresses the challenge of creating secure, scalable AI platforms in regulated environments while integrating complex technologies into robust microservices-based architectures to solve business problems through advanced automation and innovative software engineering practices.

What you'll do

  • Design and deploy enterprise-grade Generative AI solutions using LLMs, RAG architectures, and agentic AI frameworks.
  • Build intelligent AI workflows using orchestration tools like LangChain, LangGraph, and Microsoft Foundry Agent Services.
  • Develop scalable AI applications and microservices using Python and cloud-native design patterns.
  • Implement and optimize end-to-end GenAIOps processes including performance tuning and lifecycle management.
  • Engineer secure, high-availability AI platforms across Azure and AWS environments.
  • Manage containerized AI workloads using Docker, Kubernetes, and Infrastructure as Code tools like Terraform.
  • Build and maintain CI/CD pipelines, automated testing frameworks, and observability solutions for production systems.

What we're looking for

  • Bachelor's degree or equivalent work experience.
  • Six to eight years of relevant experience.
  • Expertise in Generative AI technologies including LLMs, RAG, and Agentic AI architectures (preferred).
  • Experience with frameworks like LangChain, LangGraph, Semantic Kernel, or Microsoft Foundry Agent Services (preferred).
  • Advanced proficiency in Python development, API design, and microservices-based application architectures (preferred).
  • Experience deploying and managing AI/ML workloads in Azure and/or AWS cloud environments (preferred).
  • Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code tools like Terraform or ARM (preferred).
  • Understanding of AI governance, security, compliance, and production support in regulated environments (preferred).

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