ML Solutions Architect: Emerging Tech for Enterprise AI

U.S. Bank; Englewood (CO); On-site; USD 139,000 - 164,000; Full time

Benefits offered by this job

Healthcare

Retirement plan

Parental leave

Paid vacation

11 paid holidays

Adoption assistance

Sick leave

Job summary

U.S. Bank seeks an Emerging Technology Solutions Architect for Machine Learning to evaluate, design, and guide adoption of ML technologies across the enterprise.

You will partner with data engineers, platform engineering, data science, and risk/security teams to define scalable architectures and reusable patterns that accelerate responsible AI. In this role you will lead production ML solutions, oversee model governance and observability, and translate complex concepts for stakeholders, ensuring

Qualifications

• Bachelor’s degree or equivalent work experience.
• 8+ years of experience in software engineering, machine learning engineering, data engineering, solution architecture, or related technical roles.

Responsibilities

• Evaluate emerging ML technologies and platforms for enterprise adoption.
• Define scalable architectures for end-to-end ML lifecycle.
• Establish reusable MLOps patterns and governance.
• Lead cross‑functional teams across data science and engineering.
• Provide technical leadership on ML architecture and deployment strategies.
• Translate complex tech concepts for stakeholders.

Skills

ML concepts

Solution architecture

MLOps

Cloud environments

Model governance

Model deployment

Cross-functional leadership

Data science collaboration

Education

Bachelor's degree

Tools

Azure Machine Learning

AWS SageMaker

Databricks

Snowflake ML

MLflow

Kubeflow

PyTorch

TensorFlow

Scikit-learn

XGBoost

Job description

U.S. Bank seeks an Emerging Technology Solutions Architect for Machine Learning to evaluate, design, and guide adoption of ML technologies across the enterprise.

You will partner with data engineers, platform engineering, data science, and risk/security teams to define scalable architectures and reusable patterns that accelerate responsible AI. In this role you will lead production ML solutions, oversee model governance and observability, and translate complex concepts for stakeholders, ensuring