Senior Enterprise AI Data Engineer

U.S. Bank; Irving (TX); On-site; USD 133,000 - 157,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

Basic term life insurance

Short-term and long-term disability

Pregnancy disability and parentalLeave

Job summary

U.S. Bank is seeking an AI Data Innovation Engineer to advance enterprise AI capabilities spanning data products, agent-enabled experiences, and platform engineering.

You will build reference implementations, reusable standards, and provide hands-on technical guidance to teams adopting AI across the Enterprise Data Office and broader organization. The role emphasizes practical design, validation, and operationalization of AI-enabled data products with semantic grounding, governance, and

Qualifications

• Bachelor’s degree or equivalent experience.
• 8+ years of statistical and/or data analytics experience.
• Hands-on experience with Python and SQL.
• Experience with Snowflake, Databricks, and cloud ecosystems.

Responsibilities

• Prototype, validate, and operationalize AI capabilities using governed data products.
• Develop reusable AI enablement patterns and agent orchestration.
• Design scalable semantic grounding, retrieval strategies, and metadata-driven architectures.
• Collaborate with governance, risk, security, and control teams to implement guardrails.

Skills

AI engineering

Python and SQL

Enterprise data platforms

Education

Bachelor’s degree in related field

Tools

Snowpark

Cortex AI functions

Databricks Genie Spaces

Genie agents

Job description

U.S. Bank is seeking an AI Data Innovation Engineer to advance enterprise AI capabilities spanning data products, agent-enabled experiences, and platform engineering.

You will build reference implementations, reusable standards, and provide hands-on technical guidance to teams adopting AI across the Enterprise Data Office and broader organization. The role emphasizes practical design, validation, and operationalization of AI-enabled data products with semantic grounding, governance, and