Job DescriptionThe Gen AI Engineering Senior Director leads the strategy, architecture, and delivery of enterprise-scale AI platforms, including GenAI, machine learning, and agentic AI capabilities. This role is responsible for building and scaling secure, resilient, and high-performing platforms that enable enterprise-wide AI adoption. The Director oversees multiple engineering teams and leaders, ensuring strong execution, operational discipline, and alignment with enterprise standards for risk, compliance, and responsible AI.
Key Responsibilities- Lead the vision, architecture, and roadmap for enterprise AI platforms, including GenAI, LLM integration, Retrieval-Augmented Generation (RAG), and AI-driven search.
- 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.
- Oversee MLOps and production operations, including CI/CD pipelines, model deployment, monitoring, evaluation, and lifecycle governance.
- 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.
Operational Leadership & Execution Discipline - 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).
- 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 or more 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 technical 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 (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.
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.
This role requires working from a U.S. Bank location three (3) or more days per week. Benefits: Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:
- 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
Review our full benefits available by employment status here.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $181,730.00 - $213,800.00
Posting may be closed earlier due to high volume of applicants. 
