Senior AI Technology Architect

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.

U.S. Bank is seeking a Senior AI Technology Architect to lead the design and enablement of scalable, enterprise AI architecture solutions. This role focuses on translating AI strategy into production-ready platforms, defining architectural standards, and enabling reuse across the organization.

These are two (2) open roles
, with focus areas including machine learning platforms and AI-enabled application architecture. Individuals hired into this posting will be aligned based on experience and enterprise priorities.

This role partners with engineering, platform, and business teams to design enterprise AI capabilities, shape governance models, and drive adoption of AI solutions at scale.

• Lead design of enterprise AI architecture and reusable platform capabilities
• Define architectural standards, governance models, and best practices for AI implementations
• Evaluate and recommend AI platforms and tooling such as Azure AI services, AWS AI/ML platforms, OpenAI-based solutions, and enterprise LLM platforms
• Develop architecture roadmaps aligned to business strategy and enterprise technology direction
• Guide engineering teams in implementing scalable AI solutions leveraging cloud-native architectures, APIs, and distributed systems
• Design solutions with sufficient technical depth to support implementation and operationalization
• Identify risks and ensure alignment with security, identity, network, and data governance requirements
• Influence decisions around model deployment strategies, integration patterns, and enterprise AI platform design

• Bachelor’s degree or equivalent work experience
• Ten (10) or more years of experience in technology architecture, engineering, or enterprise systems design

• Deep expertise in enterprise architecture and platform design
• Experience building and scaling AI/ML platforms using cloud services (e.g., Azure ML, AWS Sage Maker, Bedrock)
• Strong understanding of cloud infrastructure, including compute, networking, storage, identity (IAM), and security architecture
• Experience designing distributed systems and integrating enterprise platforms using APIs, microservices, and event-driven architectures
• Demonstrated understanding of generative AI and agentic AI