Principal AI Engineer – AI Acceleration & Enterprise Enablement

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. Job Description We are seeking a Principal AI Engineer to help accelerate the adoption of AI across the enterprise. This senior individual contributor will combine hands-on engineering with technical leadership to identify high-value AI opportunities and build secure, scalable, production-ready solutions. The role will work across business and technology teams to develop AI capabilities, reusable frameworks, and intelligent automation solutions while helping teams expand their AI engineering expertise. Key Responsibilities • Design, build, and deliver enterprise AI and Generative AI solutions from concept through production. • Develop scalable AI solutions using Python, APIs, pipelines, and cloud AI services . • Build solutions for complex structured and unstructured information , including document intelligence, data extraction, and workflow automation. • Apply LLMs, Agentic AI, RAG, and prompt engineering to appropriate business use cases. • Build reusable AI frameworks, accelerators, components, and integration patterns that improve solution delivery. • Partner with engineering, product, architecture, security, and business teams to evaluate where AI is the right solution and design practical approaches that fit the enterprise environment. • Establish strong engineering practices across testing, security, software quality, scalability, and deployment . • Provide technical leadership, mentor engineering teams, and help expand AI capabilities across the organization. Basic Qualifications • Bachelor's degree, or equivalent work experience • Eight or more years of relevant experience Preferred Skills/Experience • Experience designing and delivering enterprise AI, Generative AI, or intelligent automation solutions. • Strong hands-on experience with Python, APIs, pipelines , and modern software engineering practices. • Demonstrated experience solving problems involving complex unstructured documents or data , including extraction methods, accuracy improvement, and solutions operating at scale. • Experience with LLMs, Agentic AI, RAG, prompt engineering , and AI orchestration frameworks. • Experience with AI/ML platforms, MLOps, model lifecycle management, or AI governance. • Experience building reusable AI frameworks, accelerators, developer tools, or enterprise integrations. • Experience with cloud AI services, preferably Azure AI and/or Azure OpenAI . • Strong understanding of secure, scalable, production-quality software engineering . • Ability to provide technical leadership, consult across organizations, influence senior stakeholders , and communicate complex AI concepts to technical and non-technical audiences. • Experience in financial services or another highly regulated industry is preferred. Location Expectation 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:   Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to hel