AI Platform Adoption & Enablement Lead

Job Description The AI Platform Adoption & Enablement Lead is a senior individual contributor responsible for accelerating enterprise adoption of AI by guiding how AI applications are designed, built, deployed, and monitored. This role provides deep technical expertise across the AI lifecycle, with a strong focus on application design patterns, observability, and operational excellence. The leader partners across engineering, product, platform, and business teams to ensure AI use cases are implemented using scalable, secure, and enterprise‑aligned approaches. They play a critical role in defining best practices, enabling teams to build responsibly, and ensuring AI systems are measurable, reliable, and continuously improving in production. Role Overview The AI Platform Adoption & Enablement Lead serves as a hands‑on expert and enterprise advisor, helping teams successfully implement AI use cases while ensuring consistency with platform standards and long‑term maintainability. This role is accountable for shaping how AI applications are built and operated, with particular emphasis on: AI application design and development patterns Observability, monitoring, and production performance Practical adoption of AI platforms, tools, and services Scalable implementation of enterprise AI use cases In This Role, You Will: Provide hands‑on guidance on how to design, build, and deploy AI applications across a variety of use cases (ML, GenAI, agentic AI) Define and operationalize observability and monitoring frameworks for AI systems, including performance, drift, reliability, and usage tracking Guide teams in implementing production‑ready AI solutions, ensuring scalability, resiliency, and compliance with enterprise standards Partner with product and engineering teams to shape and refine AI use cases, balancing feasibility, value, and technical complexity Drive adoption of enterprise AI platforms, tools, and services through practical enablement and technical advisory Establish and document best practices, patterns, and reusable approaches for AI application development and deployment Support teams in evaluating and selecting appropriate models, architectures, and tools based on use‑case requirements Ensure AI implementations align with enterprise expectations for security, risk, and governance Key Responsibilities AI Application Development & Enablement Provide expert guidance on building AI applications end‑to‑end, including prompt design, orchestration, model integration, and API‑based deployment Advise on architectural patterns for different categories of AI solutions (predictive ML, GenAI, agent‑based systems) Partner with teams to translate business problems into scalable AI solutions AI Production Deployment Provide leadership and oversight for enterprise MLOps practices, including CI/CD, model registry, and automated rollback Ensure AI systems meet regulatory, security, and privacy standards in collaboration with risk and compliance stakeholders Define and review SLAs, KPIs, and observability standards for AI services, ensuring operational excellence and accountability AI Architecture Set the architectural vision for a scalable, modular AI ecosystem spanning data ingestion, feature stores, training infrastructure, and inference Champion standards for model governance, including versioning, data lineage, explainability, and auditability Evaluate emerging AI technologies and approaches, and define adoption roadmaps aligned with business value and risk tolerance AI Platform Development Own the strategic evolution of the on‑prem AI platform stack (e.g., Airflow, Elasticsearch) and its operating model Ensure delivery of self‑service platforms, APIs, and tooling that enable teams to innovate efficiently and safely Partner with cloud, DevOps, and security leaders to balance performance, cost efficiency, scalability, and compliance Observability & Monitoring Define and standardize observability frameworks for AI applications Establish metrics for model performance, latency, cost, reliability, drift, and user interaction quality Guide implementation of monitoring tools and feedback loops for continuous improvement Ensure production AI systems are measurable, traceable, and auditable AI Use Case Guidance & Implementation Act as a trusted advisor for teams evaluating and developing AI use cases Provide technical feasibility guidance and identify risks, trade‑offs, and dependencies early Drive consistency in how use cases are implemented across the enterprise Preferred Qualifications Masters degree or equivalent work experience Strong hands‑on experience delivering AI projects in production, including engineering, deployment, and monitoring of AI use cases Deep familiarity with Microsoft Azure AI suite and AWS AI offerings, with Azure as the primary platform Exposure to a wide range of AI platforms, tools, and models, including custom modeling and execution Experience with AI application delivery and use case development, not just machine learning or data science Ability to review and provide technical feasibility guidance for AI requests across the enterprise Leadership and people management skills, ideally with experience managing developers and data scientists Experience with agentic AI use cases and tools (e.g., LangChain, LangGraph, AI Foundry, Amazon Bedrock, third‑party agentic capabilities through vendors in CRM, ERP & other spaces), with deep knowledge to guide suitability for solving business problems using GenAI models, human agents, and AI agents and suggest strong technical design to promote reuse and scale for value Familiarity with enterprise‑scale AI enablement, including documentation, education, and self‑serve approaches Hybrid/Flexible Schedule The role offers a hybrid/flexible schedule, with an in‑office expectation of 3 or more days per week and flexibility to work outside the office location for the other days. 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 Review our full benefits available by employment status here. Equal Employment Opportunity 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. E‑Verify U.S. Bank participates in the U.S. Department of Homeland Security E‑Verify program in all facilities located in the United States and certain U.S. territories. The E‑Verify program is an Internet‑based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E‑Verify program. Compensation Pay Range: $170,255.00 - $200,300.00. 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). Background & Eligibility U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies. #J-18808-Ljbffr U.S. Bank