Machine Learning Engineering Director

Machine Learning Engineering Director Lead the strategy, architecture, and delivery of machine learning models at the enterprise level for various use cases. Oversee a team of engineers, ensuring strong execution, operational discipline, and alignment with enterprise standards for risk, compliance, and responsible AI. Key Responsibilities Lead the vision, architecture, and 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 awareness of team delivery, technical issues, and platform risks; review designs, code, and architectural decisions as needed. Enforce Agile practices consistently, including sprint planning, backlog refinement, and delivery tracking. Ensure Jira artifacts are 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, support employee development, and ensure team engagement. Ensure continuity of delivery through backup coverage, resource planning, and support during absences. Oversee administrative responsibilities such as time tracking and compliance with enterprise processes. Continuously identify and drive improvements to increase team velocity, reduce friction, and accelerate platform delivery. Basic Qualifications Bachelor's degree or equivalent work experience. 10+ years of relevant software engineering experience. Six or more years of experience leading multiple software engineering teams. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 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. 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. Preferred Qualifications Experience supporting or partnering on AI/ML or GenAI platform initiatives. Familiarity with Responsible AI, model risk management, or regulatory considerations. Experience with API‑first platforms and event‑driven architectures. Background in financial services or other highly regulated industries. Experience leading geographically distributed and multi‑vendor engineering teams. Benefits 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. Salary $159,970.00 - $188,200.00 (based on primary location). Equal Opportunity Employer U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. #J-18808-Ljbffr U.S. Bank