Jobs / United States / US Bank National Association
AI Data Innovation Engineer
US Bank National Association · 🇺🇸 4 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordUSCIS Data Hub records 294 H-1B approvals for this employer in FY2023. Source: USCIS H-1B Employer Data Hub (US Citizenship and Immigration Services).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Sponsor Radar — US Bank National Association
USCIS Data Hub records 294 H-1B approvals for this employer in FY2023. Source: USCIS H-1B Employer Data Hub (US Citizenship and Immigration Services).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for US Bank National Association →
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. Try new things, learn new skills and discover what you excel at—all from Day One. Job Description We are seeking a highly skilled AI Data Innovation Engineer to join the Data Innovation and Tools Rationalization team within the Enterprise Data Office. This senior individual contributor will bring hands-on experience building and operationalizing AI-enabled data products, agents, and reusable enablement patterns across modern enterprise data platforms. The role focuses on accelerating AI readiness, establishing safe and scalable patterns, and guiding teams through proven approaches for agent development, semantic grounding, governance, and production operations rather than relying on repeated trial-and-error learning. About the Data Innovation and Tools Rationalization Team We are the innovation and tooling engine for the Enterprise Data Office, focused on reusable patterns, accelerators, and tool rationalization that reduce friction and speed up delivery and adoption of governed data products. Vision | Make data products and AI capabilities easier to build, safer to deploy, and faster to adopt across the bank. Mission | Deliver reusable data product patterns, accelerators, and clear integration pathways that help teams ship data products faster while enabling safer AI adoption and reducing technology sprawl through disciplined tool evaluation and rationalization. Values | In addition to U.S. Bank core values, we prioritize: Head high: We build with excellence. Our work is intentional, high quality, and designed to last, so we are always proud of what we deliver and comfortable standing behind it. Accountability Over Activity: We take end to end accountability, from problem framing through delivery, adoption, and outcomes. Strategic Intelligence: We think in systems, anticipate downstream impact, and collaborate to win as a pod, not as individuals. Relentless Craft: We are passionate about the work we do. Our drive comes from curiosity, purpose, and a genuine love of building impactful solutions. About the Role The AI Data Innovation Engineer is a senior individual contributor responsible for advancing enterprise AI capabilities from a data and data product standpoint. This role sits at the intersection of governed data products, agent-enabled experiences, AI platform engineering, and responsible innovation. The engineer acts as a force multiplier by building reference implementations, establishing reusable standards, and providing hands-on technical guidance to teams adopting AI across the Enterprise Data Office and broader organization. Unlike traditional model-development or research-focused roles, this position emphasizes the practical design, validation, and operationalization of AI-enabled data products and agentic solutions. These capabilities are grounded in trusted enterprise data, semantic layers, business ontologies, metadata, reusable interfaces, and appropriate controls so they can be safely integrated and scaled across Snowflake, Databricks, Microsoft, and cloud ecosystems. The ideal candidate has already delivered AI-enabled solutions beyond isolated proofs of concept and can help other teams move from experimentation to repeatable delivery. The candidate combines technical depth in modern data and AI platforms with practical experience in agent orchestrat