Machine Learning Engineering Director

U.S. Bank

Machine Learning Engineering Director leading strategy and architecture for enterprise-level AI solutions at U.S. Bank.

Posted 6/16/2026full-timeChicago • California, Illinois, Minnesota, North Carolina • 🇺🇸 United StatesLead💰 $159,970 - $188,200 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed Systems

About the role

Key responsibilities & impact

Lead the vision, architecture, roadmap, and provide technical leadership across multiple engineering teams; develop engineering managers and senior engineers while establishing standards, guardrails, and governance models.
Own cloud-native platform design and delivery across Azure and AWS, ensuring scalability, reliability, performance, and cost optimization.
Ensure alignment with enterprise requirements for security, data privacy, compliance, and Responsible AI practices.
Drive cross-functional collaboration with product, risk, security, and business stakeholders to enable secure and scalable AI adoption.
Maintain strong awareness of team delivery, technical issues, and platform risks; step in to review designs, code, and architectural decisions as needed.
Ensure Agile practices are consistently followed, including sprint planning, backlog refinement, and delivery tracking.
Enforce operational rigor across teams, including keeping Jira artifacts current, transparent, and aligned to priorities.
Provide ongoing feedback on team performance, resource allocation, and organizational effectiveness to optimize delivery outcomes.
Manage core people leadership responsibilities, including addressing HR-related matters, supporting employee development, and ensuring team engagement.
Ensure continuity of delivery through appropriate backup coverage, resource planning, and support during team member absences.
Oversee administrative responsibilities such as time tracking and compliance with enterprise processes (e.g., timesheets, reporting).

Requirements

What you’ll need

Bachelor's degree, or equivalent work experience
10 or more years of relevant software engineering experience
Six or more years of experience leading multiple software engineering teams
Minimum 5 years of experience managing engineering teams, including direct oversight of engineering managers and senior technical staff.
10+ years of experience in software engineering, platform engineering, or related disciplines.
Proven experience designing and delivering large-scale, distributed systems and cloud-native platforms (Azure and/or AWS).
Working knowledge of AI/ML and GenAI concepts, including familiarity with LLMs, RAG architectures, and AI application integration (deep specialization not required).
Familiarity with MLOps practices, including CI/CD concepts for models, monitoring, and lifecycle considerations.
Experience implementing enterprise-grade security, compliance, and data governance frameworks.
Demonstrated ability to influence and partner with senior technology and business leadership.

Benefits

Comp & perks

Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

cloud-native platform designAzureAWSAI/MLGenAIMLOpsCI/CDlarge-scale distributed systemsdata governanceenterprise-grade security

Soft Skills

technical leadershipcross-functional collaborationteam performance feedbackresource allocationemployee developmentteam engagementinfluencepartnering with leadershipoperational rigorAgile practices