AI Platform Chief 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.

The Chief Architect – AI Platform & Enterprise Architecture is the senior architecture leader accountable for defining, governing, and evolving the enterprise AI technology architecture that enables scalable, secure, and responsible AI adoption across the organization. This role sets architectural vision, establishes enterprise standards and guardrails, and drives alignment across platform, data, engineering, security, risk, and product teams. The Chief Architect ensures technology decisions advance business strategy, reduce duplication, improve resilience, and accelerate delivery of production-ready AI/ML capabilities.

Define and maintain the enterprise architecture vision, principles, reference architectures, and decision frameworks for AI/ML platforms and adjacent technology domains. Establish architecture standards that promote reuse, interoperability, resiliency, security, and speed-to-market across products, platforms, and shared services. Drive architecture convergence across teams to reduce fragmentation, duplicate capabilities, technical debt, and long-term operational cost. Partner with senior technology and business leaders to ensure architecture roadmaps directly support strategic priorities and measurable business outcomes. Own the end-to-end architectural direction for enterprise AI/ML platform capabilities, including model integration, inference services, retrieval patterns, orchestration, and automation. Define production-grade patterns for observability, scalability, model/data traceability, policy enforcement, and responsible AI controls. Ensure platform capabilities can support secure onboarding of AI/ML use cases across DEV, UAT, and PROD environments with clear guardrails and repeatable patterns. Guide platform investment decisions by balancing innovation, risk, cost, operational complexity, and business value. Lead enterprise architecture strategy across hybrid and multi-cloud ecosystems, including Azure, AWS, on-premises services, data platforms, integration layers, and shared platform capabilities. Define architectural patterns for secure data access, service integration, API management, event-driven flows, workload placement, and cost-aware scaling. Assess technology options and vendor/platform choices, making recommendations that balance enterprise standards, delivery velocity, security posture, and total cost of ownership. Ensure solution architectures align to enterprise security, compliance, resiliency, performance, and operational support requirements. Lead the architecture community of practice, establishing forums, review mechanisms, and decision processes that improve consistency without slowing delivery. Provide senior technical stewardship across domains, resolving complex cross-platform dependencies and ensuring end-to-end solution integrity. Coach and mentor architects, senior engineers, and technical leaders to raise architectural maturity and systems-thinking capability across the organization. Represent architecture in executive, risk, compliance, product, and engineering governance forums. Define architecture guardrails for security, privacy, compliance, data protection, model governance, auditability, and responsible AI. Identify and manage architectural risk across platforms, integrations, dependencies, and production operations. Ensure risk decisions are clearly documented, communicated, and aligned with