Lead Software Architect Engineer (Generative AI Platforms)

U.S. Bank National Association • Chicago, IL

1d • $139,230 - $163,800 • Hybrid

About The Position

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.

Requirements

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

Nice To Haves

• 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.

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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree