Lead Software Architect Engineer (Generative AI Platforms)

U.S. Bank; Chicago (IL); On-site; USD 139,000 - 164,000; Full time

Benefits offered by this job

Healthcare

401(k)

Paid vacation

Holidays

Adoption assistance

Sick leave

Job summary

U.S. Bank in Chicago is seeking a Lead Software Architect Engineer to design, develop, and deploy enterprise-grade Generative AI solutions using LLMs, RAG, and agentic AI.

The role partners with engineering, platform, and product teams to build scalable Python-based microservices deployed on Azure and AWS, using Docker, Kubernetes, CI/CD, and Terraform.

Qualifications

• Bachelor’s degree or equivalent work experience.
• 6–8 years of relevant experience.
• Experience with Generative AI, LLMs, and RAG.

Responsibilities

• Design, develop, and deploy enterprise Generative AI solutions.
• Build AI workflows with LangChain, LangGraph, and Foundry Agent Services.
• Develop scalable AI apps and microservices in Python.
• Implement GenAIOps processes from design to lifecycle.
• Engineer secure, scalable AI platforms on Azure and AWS.
• Containerize workloads with Docker, Kubernetes, and IaC.
• Build CI/CD, tests, observability, and monitoring.
• Collaborate across teams to deliver AI capabilities with governance.

Skills

Generative AI

LLMs

RAG

Agentic AI

Python

Cloud architectures

Docker

Kubernetes

CI/CD

Security & compliance

LangChain

LangGraph

Semantic Kernel

Terraform

Observability

Education

Bachelor’s degree

Tools

LangChain

LangGraph

Semantic Kernel

Foundry Agent Services

Docker

Kubernetes

Terraform

ARM/Bicep

Job description

Lead Software Architect Engineer (Generative AI Platforms)

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.

E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements).

Pay Range: $139,230.00 - $163,800.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.

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.