Hybrid AI Data Innovation Engineer, Data Innovation and Tools Rationalization

at U.S. Bank

• Job title: AI Data Innovation Engineer, Data Innovation and Tools Rationalization
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: $133,365 - $156,900 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud
• Location requirements: Hybrid, Minneapolis, United States

About the role

• AI Data Innovation Engineer developing and validating AI capabilities tied to governed enterprise data products at U.S. Bank. Collaborating on AI readiness efforts and supporting data product initiatives.

Responsibilities

• Prototype and validate AI capabilities that leverage governed enterprise data products, including standardized semantic models, shared feature representations, and reusable data interfaces.
• Develop and evolve reusable AI enablement patterns such as Snowpark workloads, Cortex AI functions, retrieval-augmented generation methods, and agent-based approaches aligned with enterprise data platforms.
• Support data product AI readiness by partnering with data engineers and product teams to ensure data assets are structured, documented, and optimized for AI use cases.
• Translate experimental AI solutions into reference implementations, reusable patterns, and adoption guidance that can be safely reused across teams.
• Partner with data governance, risk, and control teams to ensure responsible AI alignment, documenting guardrails, constraints, and handoff artifacts required for scaling.
• Collaborate closely with the AI Center of Excellence to integrate validated AI patterns into enterprise AI experiences, including Chat USB.

Requirements

• Bachelor’s Degree in a quantitative field such as computer science, engineering, data science, mathematics, or statistics.
• 7-10 years of experience across AI enablement, data engineering, analytics engineering, platform enablement, or data product roles.
• Demonstrated experience influencing adoption of shared platforms, tools, or standards in a large enterprise environment.
• AI/ML Model development experience.
• Demonstrated experience prototyping and validating AI capabilities built on enterprise data products, including standardized semantic models and shared data interfaces.
• Experience developing reusable AI enablement patterns such as Snowpark workloads, Cortex AI functions, retrieval-augmented generation methods, or agent-based approaches.
• Familiarity with cloud-native services and APIs used to prototype and operationalize AI-enabled data solutions.
• Strong analytical, organizational, problem-solving, and project management skills.

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