AI/ML Deployment Lead managing end - to - end AI lifecycle at U.S. Bank. Ensuring compliance and operational excellence with cross - functional collaboration.
About the role
- Senior AI Technologist identifying opportunities to integrate AI into processes while collaborating with stakeholders. Designing data structures and improving data quality for AI initiatives.
Responsibilities
- Identify, evaluate, and prioritize opportunities to integrate AI into existing and new organizational processes and tooling
- Design and implement data structures, metadata models, naming conventions, and data standards to support AI and machine learning initiatives
- Support onboarding new AI projects by identifying data requirements, assessing data readiness, and defining ingestion and preparation workflows
- Develop processes to measure and improve ongoing data quality, consistency, completeness, and accuracy across AI datasets and workflows
- Build and maintain data preparation pipelines to support model training, testing, retrieval, and operational AI applications
- Collaborate with technical and business stakeholders across divisions to understand data sources, use cases, and operational constraints
- Create and maintain documentation for data standards, transformation logic, onboarding procedures, and quality controls
- Partner with AI, software, platform, and security teams to ensure data workflows are scalable, secure, and aligned with organizational objectives
Requirements
- Bachelor’s degree in computer science, Data Engineering, Information Systems, Engineering, Mathematics, or a related STEM field
- 8-10 years of engineering experience
- 3+ years of experience supporting AI, natural language processing, RAG, and related solutions
- Experience preparing and transforming data for analytics, machine learning, search, or AI-enabled applications
- Experience designing vector databases and retrieval pipelines
- Experience developing MCP Servers and Clients
- Understanding of data quality management practices, including validation, normalization, deduplication, and error handling
- Experience working with AI platforms, Kubernetes, and cloud AI environments (Azure Foundry, AWS Bedrock)
- Strong experience developing AI solutions in Python, Golang, or Typescript
- Strong analytical, troubleshooting, and documentation skills
- Active Secret clearance preferred, or ability to obtain and maintain a Secret clearance
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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