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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Software Architect Engineer (Generative AI Platforms) - **Company:** U.S. Bank, National Association - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $139,230.0 - $163,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Applications Architecture, Microsoft Azure, Cloud Engineering, Continuous Integration, Distributed Systems, Python (Programming Language), Performance Tuning, Software Construction, System Availability, Large Language Models, Prompt Engineering, Generative AI, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Bicep, Virtual Agents, Api Design, Terraform, Automation Anywhere, Docker, Microservices - **Published:** September 11, 2026 - **Apply:** https://usbank.wd1.myworkdayjobs.com/US_Bank_Careers/job/Chicago-IL/Lead-Software-Architect-Engineer--Generative-AI-Platforms-_2026-0027303 ## About the Role 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. ## 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., * 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. ## Related Videos - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)