Enterprise ML Solutions Architect - Emerging Tech

U.S. Bank; New York (NY); Hybrid; USD 139,000 - 164,000; Full time

Benefits offered by this job

Healthcare

Life insurance

Disability

Parental leave

401(k)

Paid vacation

Holidays

Adoption assistance

Sick leave

Job summary

U.S. Bank is seeking an Emerging Technology Solutions Architect – Machine Learning to evaluate, design, and guide adoption of machine learning technologies across the enterprise.

This role partners with data engineering, platform engineering, data science, and risk/security teams to enable scalable, secure ML solutions that drive advanced analytics and AI-driven business outcomes. The successful candidate will establish architecture patterns, ML governance, and production-ready solutions while

Qualifications

• Bachelor’s degree or equivalent work experience.
• Eight or more years of experience in software engineering, machine learning engineering, data engineering, solution architecture, or related technical roles.
• Experience designing and deploying production ML systems in cloud environments.

Responsibilities

• Evaluate emerging ML technologies for enterprise adoption.
• Define scalable architectures including data ingestion, feature engineering, model training, deployment, monitoring, and governance.
• Establish reusable MLOps patterns for model serving, retraining, monitoring, and observability.
• Collaborate with data scientists and engineering teams to operationalize ML models at scale.

Skills

ML architecture

MLOps

Cloud platforms

Stakeholder leadership

Education

Bachelor’s degree or equivalent work experience

Tools

Azure ML

AWS SageMaker

Databricks

Snowflake ML

MLflow

Kubeflow

Job description

U.S. Bank is seeking an Emerging Technology Solutions Architect – Machine Learning to evaluate, design, and guide adoption of machine learning technologies across the enterprise.

This role partners with data engineering, platform engineering, data science, and risk/security teams to enable scalable, secure ML solutions that drive advanced analytics and AI-driven business outcomes. The successful candidate will establish architecture patterns, ML governance, and production-ready solutions while