AI/ML Enablement Lead Engineer (Solutions)
About The Position
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. This role requires working from a U.S. Bank location three (3) or more days per week. U.S. Bank is seeking an AI/ML Enablement Lead Engineer to play a critical role in accelerating adoption of enterprise AI capabilities across the organization. This is a high-visibility opportunity to operate at the intersection of engineering, business, and AI innovation, partnering directly with Lines of Business to deliver impactful solutions using modern AI technologies. This person will act as a key bridge between business teams and the central AI platform organization, translating business needs into scalable AI solutions and enabling rapid delivery of high-value use cases. They will combine hands-on technical expertise with strong communication and solutioning capabilities to guide teams in leveraging enterprise AI platforms while helping scale AI adoption across the bank.
Requirements
- 6+ years of experience in software engineering, AI/ML engineering, or solution engineering
- Hands-on experience with Generative AI technologies, including LLMs and RAG
- Strong proficiency in Python and API-based or microservices architecture
- Experience with cloud platforms (Azure and/or AWS)
- Familiarity with Kubernetes and modern engineering environments
- Ability to design and guide implementation of AI solutions in enterprise systems
- Strong communication skills with experience working cross-functionally with business stakeholders
- Proven ability to troubleshoot issues, remove blockers, and accelerate delivery
Nice To Haves
- Experience in solution architecture, AI enablement, or consulting roles
- Background supporting AI/ML platforms in large enterprise environments
- Experience in financial services or regulated industries
- Familiarity with prompt engineering, agent-based frameworks, or model lifecycle tooling
- Experience building reusable frameworks, accelerators, or internal tools
- Experience partnering with senior leadership stakeholders
- Exposure to document intelligence, data extraction, or AI-driven automation
- Banking/FI industry experience
Responsibilities
- Serve as the primary liaison between business teams and the AI platform team
- Embed within a business line to drive delivery of AI use cases
- Translate business needs into technical requirements and solution designs
- Guide implementation of AI solutions leveraging LLMs, RAG, and related technologies
- Provide hands-on technical guidance across architecture, tooling, and platform capabilities
- Unblock and accelerate AI initiatives by resolving access, tooling, and process challenges
- Partner with engineering teams to ensure scalable, secure, and compliant implementations
- Communicate priorities, timelines, and constraints across stakeholders
- Drive adoption of enterprise AI platforms and best practices
- Contribute to standardization and scaling of AI solutions across the organization
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
