Lead Software Architect Engineer (Generative AI Platforms)

US Bank; Chicago (IL); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Healthcare

401(k) plan

Paid vacation

Adoption assistance

Disability and parental leave

Job summary

U.S. Bank is seeking a Lead Software Architect Engineer (Generative AI Platforms) to design, develop, and deploy enterprise-scale AI solutions.

You will work with cross-functional teams to create secure, scalable AI applications across cloud environments, emphasizing governance, observability, and production readiness. The role requires 6–8 years of experience in Generative AI, Python, containers, and cloud-native architectures, with hands-on knowledge of LangChain, LangGraph, and Kubernetes.

Qualifications

• Bachelor's degree or equivalent work experience.
• Six to eight years of relevant experience.
• Strong expertise in Generative AI, LLMs, and RAG architectures.
• Hands-on experience with LangChain, LangGraph, Semantic Kernel, or Foundry Agent Services.

Responsibilities

• Design, develop, and deploy enterprise-grade Generative AI solutions leveraging LLMs, RAG, and agentic architectures.
• Build AI workflows using LangChain, LangGraph, and related tooling.
• Develop scalable AI applications and microservices using Python and cloud-native patterns.
• Engineer secure AI platforms across Azure and AWS with high availability and compliance.
• Design containerized AI workloads using Docker and Kubernetes; implement IaC with Terraform or ARM/Bicep.

Education

Bachelor's degree or equivalent

Tools

LangChain

LangGraph

Semantic Kernel

Microsoft Foundry Agent Services

Python

Docker

Kubernetes

Terraform

ARM/Bicep

Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

Lead Software Architect Engineer (Generative AI Platforms) is responsible for designing, developing, and deploying enterprise-scale Generative AI solutions that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI architectures. This role partners with engineering, platform, and product teams to deliver secure, scalable, and production-ready AI applications across cloud environments while driving innovation, operational excellence, and business value.

Essential Responsibilities:

• Design, develop, and deploy enterprise-grade Generative AI solutions leveraging LLMs, RAG architectures, prompt engineering, and agentic AI frameworks .
• Build intelligent AI workflows using modern orchestration frameworks including LangChain, LangGraph, and Microsoft Foundry Agent Services .
• Develop scalable AI applications and microservices using Python , cloud-native design patterns, and distributed system architectures.
• Implement and optimize end-to-end GenAIOps processes including solution design, deployment, monitoring, performance tuning, and lifecycle management.
• Engineer secure and resilient AI platforms across Azure and AWS , ensuring high availability, scalability, and compliance with enterprise standards.
• Design and maintain containerized AI workloads using Docker, Kubernetes, and Infrastructure as Code (Terraform, ARM/Bicep) .
• Build and enhance CI/CD pipelines, automated testing frameworks, observability solutions, and operational monitoring for production AI systems.
• Collaborate with cross-functional engineering, architecture, security, and product teams to deliver innovative AI capabilities while adhering to software engineering best practices and governance requirements.

Basic Qualifications

• Bachelor's degree, or equivalent work experience
• Six to eight years of relevant experience

Preferred Skills/Experience

• Strong expertise in Generative AI technologies , including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI architectures .
• Hands-on experience developing AI solutions using frameworks such as LangChain, LangGraph, Semantic Kernel, or Microsoft Foundry Agent Services .
• Advanced proficiency in Python development , API design, and microservices-based application architectures.
• Experience deploying and managing AI/ML workloads in Azure and/or AWS cloud environments .
• Strong knowledge of distributed systems , cloud-native architecture patterns, scalability, resiliency, and performance optimization.
• Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code tools such as Terraform, ARM, or Bicep.
• Understanding of AI governance, security, compliance, data privacy, observability, monitoring, and production support practices in regulated environments.
• Strong collaboration, problem-solving, and technical leadership skills with the ability to translate evolving AI technologies into scalable business solutions.

Location expectations

This role requires working from a U.S. Bank location three (3) or more days per week.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants .

Benefits:

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
• Review our full benefits available by employment status here .

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

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