AI Web Apps Engineering Director

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel atall from Day One.

The Web Apps Engineering Director leads the strategy, architecture, and delivery of an enterprise-scale internal facing self-service portal. This portal will enable the accessibility of AI Solutions across the enterprise.

This role is responsible for building and scaling secure, resilient, and high-performing platforms that enable enterprise-wide AI adoption. The Engineering Director oversees 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, 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.

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).

• 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.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

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

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.

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: $159,970.00 - $188,200.00