8 days ago
Base Salary
$133k - $157k/yr
Responsibilities
- Prototype, validate, and operationalize AI capabilities using governed enterprise data products, semantic models, metadata, ontologies, and reusable data interfaces.
- Develop reusable AI enablement patterns involving Snowpark, Cortex AI functions, retrieval-augmented generation, tool-enabled agents, orchestration, and human-in-the-loop workflows.
- Design conversational data and agent-enabled experiences using Snowflake Cortex Agents, Databricks Genie capabilities, and comparable enterprise AI platforms.
- Create reference architectures, reusable components, implementation playbooks, and adoption guidance for enterprise AI delivery.
- Implement responsible AI guardrails, access controls, policy enforcement, evaluation criteria, auditability, and human oversight.
- Establish observability and evaluation practices covering agent traces, grounding, tool execution, quality, latency, cost, reliability, safety, and operational performance.
- Evaluate AI tools, frameworks, protocols, and platform capabilities for interoperability, security, maintainability, enterprise fit, and technology rationalization.
- Define reusable patterns for agent identity, authorization, tool access, secrets, policy enforcement, semantic grounding, and cross-platform integration.
- Collaborate with data engineers, analytics engineers, architects, data product owners, governance teams, and the AI Center of Excellence.
- Mentor teams, facilitate technical reviews and communities of practice, and guide adoption of proven AI patterns and standards.
Requirements
- Bachelor’s degree in a related field or equivalent work experience.
- At least eight years of statistical and/or data analytics experience.
- Preferred 7–10 years across AI engineering or enablement, data engineering, analytics engineering, platform engineering, data products, or related roles.
- Hands-on experience building, deploying, or operationalizing AI-enabled solutions or agents beyond isolated proofs of concept.
- Experience with Snowflake, Databricks, Python, SQL, Snowpark, Cortex AI, Databricks Genie, semantic retrieval, grounding, metadata, ontologies, and knowledge representation.
- Experience implementing AI guardrails, evaluation, observability, security, governance, automated testing, deployment, and operational controls.
- Familiarity with APIs, event-driven integration, Model Context Protocol, LangGraph, LangChain, Semantic Kernel, LangSmith, or equivalent technologies.
- Experience with CI/CD and AI workload deployment using Harness, GitHub Actions, Azure DevOps, or equivalent tooling.
- Experience with distributed data processing using Spark or equivalent technologies; Hadoop or Hive experience is useful.
- Experience across Azure, AWS, or GCP and in regulated or large-scale enterprise environments is preferred.
- Experience with Power BI, Tableau, Microsoft Power Platform, or Copilot Studio is a plus.
- Strong communication, facilitation, stakeholder-management, mentoring, organizational, analytical, and technical leadership skills.
- Knowledge of banking and financial institution terminology, banking regulation, and regulatory reporting requirements is preferred.
Benefits
- Medical, dental, and vision healthcare coverage.
- Basic and optional term life insurance.
- Short-term and long-term disability coverage.
- Pregnancy disability and parental leave.
- 401(k) and employer-funded retirement plan.
- Paid vacation of two to five weeks depending on salary grade and tenure.
- Up to 11 paid holidays.
- Adoption assistance.
- Sick and Safe Leave accruals of one hour per 30 hours worked, up to 80 hours per calendar year unless otherwise provided by law.
- The role requires working from a U.S. Bank location three or more days per week.
Tech Stack
Apache HadoopApache HiveApache SparkAWSAzureDatabricksGitHub ActionsGoogle Cloud PlatformHarnessPythonSnowflakeSQL
Categories
About U.S. Bank
U.S. Bank is a public commercial bank offering consumer banking, commercial and institutional banking, payments, wealth management, and custody services to individuals and businesses. It earns revenue from interest on loans and securities and from fees across payments, asset management, and treasury services; it is the fifth-largest U.S. commercial bank, headquartered in Minneapolis, and trades on the NYSE as U.S. Bancorp (USB).