AI Data Innovation Engineer, Data Innovation and Tools Rationalization

US Bank

Hybrid

Quick summary

Work type: Hybrid
Location: Minneapolis, MN · Chicago, IL · Charlotte, NC · Irving, TX
Salary: $133,365–$156,900 / yr
Posted: 5 days ago
Closes: Jun 30, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $180k

This role $145k

$122k most similar roles pay here $236k

This role pays less than 75% of similar roles. Most pay $145,437–$214,587 — the shaded band above. At the midpoint, this role pays about $145k versus about $180k for comparable roles.

Based on 240 similar postings.

Employer

About US Bank

U.S. Bank (U.S. Bancorp) is the fifth-largest bank in the United States, providing retail banking, corporate and commercial banking, wealth management, and payment services to millions of customers. Industry: Banking & Financial Services

US Bank currently has 44 open roles on FindRole.

Listed pay typically runs $111,605–$131,300 across 41 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · AI Data Innovation Engineer, Data Innovation and Tools Rationalization

Apply Now Log in to save

The AI Data Innovation Engineer role at U.S. Bank is a senior-level position within the Data Innovation and Tools Rationalization team in the Enterprise Data Office, focusing on advancing enterprise AI capabilities by prototyping, validating, and operationalizing reusable AI data patterns. Day-to-day responsibilities include developing AI enablement frameworks using Snowpark workloads, Cortex AI functions, and other modern tools, while ensuring these solutions are aligned with governed enterprise data products and scalable across platforms. The ideal candidate should have strong technical skills in Python, SQL, and cloud-native services, along with experience in Snowflake and Databricks ecosystems. This role requires expertise in responsible AI practices, data governance, and collaboration with various teams to ensure safe and efficient adoption of AI technologies at enterprise scale within the banking industry.

Skills

Python SQL Snowflake Databricks CI/CD Hadoop Spark Power BI Tableau AWS Azure GCP Snowpark Cortex AI Power Automate Power Apps Terraform Kubernetes PostgreSQL

What you'll do

Prototype and validate AI capabilities using governed enterprise data products.
Develop and evolve reusable AI enablement patterns for enterprise platforms.
Ensure data assets are structured for safe and scalable AI adoption.
Translate experimental AI solutions into reference implementations and guidance.
Partner with governance teams to ensure responsible AI alignment and scaling.
Collaborate with the AI Center of Excellence to integrate validated AI patterns.

What we're looking for

7-10 years of experience in AI enablement, data engineering, or related roles.
Strong technical proficiency with modern data platforms like Snowflake and Databricks.
Experience developing and validating AI capabilities using Python and SQL.
Familiarity with Snowpark workloads, Cortex AI functions, and retrieval-augmented generation methods.
Hands-on experience in documenting technical approaches for enterprise adoption.
Demonstrated ability to influence the adoption of shared platforms or standards in large enterprises.
Deep understanding of data quality, security, and governance considerations in AI projects.

Similar roles

AI Data Engineer

T. Rowe Price

Baltimore, Maryland 8 days ago $97,000–$165,000

Python AWS Azure GCP Spark Kafka Snowflake MLOps CI/CD DevOps Agile Git Jenkins Docker Kubernetes Prometheus Grafana PostgreSQL Redis GraphQL

Hybrid

Save

AI Data Engineer

Apple Inc

Cupertino, CA 29 days ago $203,300–$305,600

Python SQL dbt Fivetran Airflow Snowflake Databricks BigQuery REST APIs Git CI/CD Pinecone Weaviate Chroma MongoDB Kafka Neo4j Prometheus Grafana

Save

AI & Data Engineer

IBM

New York, NY 17 days ago

Java Spring Boot Docker Kubernetes AWS Git Jenkins PostgreSQL MySQL Redis RabbitMQ CI/CD Swagger JUnit

Save

AI & Data Engineer

IBM

San Jose, CA 17 days ago

Jenkins Git Docker Python PostgreSQL AWS Kubernetes Terraform CI/CD Swagger Ansible Prometheus Grafana

Save

AI & Data Engineer

IBM

Raleigh, NC 17 days ago

Java Spring Boot Docker Kubernetes AWS Git Jenkins CI/CD Maven PostgreSQL MySQL Swagger JUnit Selenium ELK Stack Prometheus Grafana

Save

AI & Data Engineer

IBM

San Francisco, CA 17 days ago

Java Spring Boot Docker Kubernetes AWS Git Jenkins CI/CD Maven PostgreSQL Swagger JUnit Mockito RESTful APIs JSON Linux Nginx Selenium

Save