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Head of AI Platform Engineering

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Us Bank
Full Time position
Listed on 2026-07-26
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), IT Project Manager
Salary/Wage Range or Industry Benchmark: 214795 - 252700 USD Yearly USD 214795.00 252700.00 YEAR
Job Description & How to Apply Below

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 at—all from Day One.

Job Description

The Head of AI Platform Engineering will spearhead the bank’s enterprise-wide AI technology strategy implementation, driving innovation, operational efficiency, and customer‑centric transformation through artificial intelligence and machine learning technologies. This executive role bridges technical expertise with strategic vision, ensuring responsible, ethical, and scalable AI adoption across all business units. The position will oversee the technology strategy, development, and implementation of AI models and platforms, enabling the bank to leverage AI for enhanced efficiency and innovation.

It will also modernize the organization’s technology function by integrating AI to improve efficiency, customer interactions, and overall system stability, while ensuring the AI platform is scalable, secure, and capable of driving business growth across the enterprise. Success requires a blend of cross‑functional collaboration, influence, technical expertise, and leadership to drive AI initiatives, navigate the complexities of AI integration, inspire and guide teams, and foster a culture of continuous improvement and innovation.

Essential

Functions
  • Define and execute the bank’s AI technology strategy aligned with business goals
  • Identify high‑impact AI opportunities across departments (e.g., fraud detection, risk modeling, customer service automation)
  • Establish AI governance frameworks to ensure transparency, fairness, and compliance with regulations
  • Monitor and mitigate risks related to bias, explainability, and data privacy
  • Collaborate with risk, legal, and compliance teams to ensure responsible AI use
  • Build and lead multidisciplinary AI teams (data scientists, engineers, architecture)
  • Foster a culture of innovation, continuous learning, and ethical AI practices
  • Upskill existing staff and promote AI literacy across the organization
  • Translate business requirements into scalable AI solutions
  • Integrate AI into core banking systems and customer engagement platforms
  • Track and report on AI performance metrics (e.g., cost savings, customer satisfaction)
Basic Qualifications
  • Significant years of experience executing AI technology strategy aligned with business goals
  • Adept in identifying high‑impact enterprise‑wide AI opportunities
  • Experienced in establishing AI governance frameworks to ensure transparency, fairness, and compliance with regulations
  • Keen in monitoring and mitigating risks related to bias, explainability, and data privacy
  • Experienced and comfortable collaborating with risk, legal, and compliance teams to ensure responsible AI use
  • Successful background in building and leading multidisciplinary AI teams (data scientists, engineers, architecture)
  • Clear success to date in upskilling employees, advancing AI literacy across the organization, translating business requirements into scalable AI solutions and integrating AI into core banking systems and customer engagement platforms
  • Adept in reporting on AI performance metrics
Preferred Skills/Qualifications
  • Proven experience delivering enterprise‑grade platforms (not SaaS)
  • Hands‑on engineering background (app development or infrastructure)
  • Expertise in Cloud, Kubernetes, and CI/CD pipelines
  • End‑to‑end platform delivery and adoption experience
  • Cloud experience:
    Azure and AWS preferred; GCP acceptable
  • Familiarity with Jira and Confluence for backlog management
  • Proven experience leading large engineering teams (50+ including managers)
  • Skilled in backlog prioritization and delivering diverse AI capabilities
  • Track record of platform delivery beyond POC with multiple enhancements
  • Strategic collaboration with senior leadership
  • Expert in grasp…
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