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Jobs · Engineering · California

Head of AI Platform Engineering

U.S. Bank · Cupertino, CA · 1 mo ago
Engineering$215k–$253k/yrFull-time

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.

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 of AI governance, ethics, and compliance

  • Proven to inspire teams and navigate complex AI integration

  • Proven record of fostering innovation and continuous improvement

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