Principal AI Engineer – AI Acceleration & Enterprise Enablement

About the role

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.

Responsibilities

• Lead the design and implementation of enterprise AI and Generative AI solutions, driving adoption of AI capabilities across business and technology teams.
• Architect and deliver scalable AI enablement frameworks, reusable components, accelerators, and reference architectures to accelerate solution delivery.
• Provide architectural guidance and assists the team in aligning architecture to business requirements.
• Partner with engineering, product, architecture, and business stakeholders to identify, prioritize, and execute high-value AI use cases.
• Drive adoption of LLMs, Agentic AI, Prompt Engineering, RAG, and AI-driven automation capabilities across the enterprise.
• Provide technical leadership and consultation on AI platform strategy, solution design, governance, security, and responsible AI practices.
• Develop solutions leveraging document intelligence, intelligent data extraction, and workflow automation to improve operational efficiency and customer experiences.
• Mentor engineering teams and promote AI best practices, standards, and innovation across the organization.
• Collaborate with senior leaders to shape the enterprise AI roadmap and ensure alignment with regulatory, risk, and compliance requirements.

Qualifications

Bachelor's degree, or equivalent work experience. Eight or more years of relevant experience.

Skills

• AI Solution Architecture experience designing and delivering enterprise-scale AI, GenAI, and intelligent automation solutions.
• Expertise in Large Language Models (LLMs), Agentic AI Frameworks, RAG, Prompt Engineering, and AI Orchestration Platforms.
• Strong experience supporting AI/ML Platforms, MLOps, Model Lifecycle Management, and AI Governance in large enterprise environments.
• Hands-on proficiency with Python, APIs, Cloud AI Services (Azure AI/OpenAI), and modern software engineering practices.
• Experience building reusable frameworks, accelerators, developer tooling, and enterprise AI enablement capabilities.
• Knowledge of Document Intelligence, OCR, Data Extraction, Intelligent Automation, and Workflow Modernization solutions.
• Experience working within financial services or other regulated industries, including risk, compliance, and security considerations.
• Proven ability to influence executives and cross-functional stakeholders through strong consulting, communication, and leadership skills.

Location expectations

This role requires working from a U.S. Bank location three (3) or more days per week.

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

Pay

The pay range for this role is $149,515.00 - $175,900.00.

Schedule

This role requires working from a U.S. Bank location three (3) or more days per week.