Lead AI Platform Engineer

Job Summary The Lead Engineer (Generative AI) is a senior technical role responsible for designing, developing, and operationalizing enterprise‑scale Generative AI (GenAI) solutions. This position combines deep hands‑on expertise in Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), and agentic AI architectures with strong technical leadership to deliver secure, scalable, and resilient AI systems. Key Responsibilities GenAI Solution Engineering Design, develop, and deploy GenAI solutions leveraging LLMs, RAG architectures, prompt engineering techniques, agentic AI workflows and orchestration. Build intelligent systems using frameworks such as LangChain, LangGraph, AWS Bedrock, Microsoft Foundry Agent Service. Evaluate emerging tools and frameworks to continuously improve solution quality and innovation. GenAIOps & Lifecycle Management Lead end‑to‑end lifecycle of GenAI solutions: architecture, integration with enterprise systems, secure deployment and release management. Monitor, observe, and continuously optimize performance. Implement GenAIOps best practices for scalability, reliability, and cost efficiency. Establish logging, evaluation, and feedback mechanisms for production AI systems. Cloud, Platform & Scalability Engineering Architect and deploy GenAI applications across Azure and AWS. Design distributed systems for high‑throughput, low‑latency AI workloads. Leverage modern infrastructure practices: Containerization (Docker), Orchestration (Kubernetes), Infrastructure as Code (Terraform, ARM/Bicep). Ensure high availability, performance, and enterprise‑grade security. Software Engineering & Architecture Develop scalable, maintainable applications using Python and microservices‑based architectures. Apply secure coding standards and robust data handling practices for regulated environments. Build and manage CI/CD pipelines supporting automated testing, deployment, and release management. Enforce engineering best practices including code reviews, testing, and documentation. Technical Leadership & Influence Provide architectural leadership and guide GenAI initiatives. Drive critical design decisions for large‑scale AI solutions. Mentor and coach senior engineers and development teams. Translate business requirements into scalable, secure, and resilient technical solutions. Partner with stakeholders across product, business, risk, and security functions. Basic Qualifications Bachelor’s degree or equivalent work experience. 6‑8 years of relevant experience in software engineering, platform engineering, or AI/ML solutions. 2+ years hands‑on experience with GenAI technologies, including LLMs, RAG architectures, and vector databases. Strong knowledge of agentic AI concepts and frameworks (e.g., LangChain, LangGraph). Experience with cloud platforms (Azure and/or AWS). Deep understanding of distributed systems and scalable architecture patterns. Proficiency in Python and microservices‑based development. Experience with Docker, Kubernetes, and Infrastructure as Code tools. Demonstrated technical leadership and mentoring experience. Preferred Qualifications Experience implementing GenAI solutions in enterprise or regulated environments. Familiarity with observability frameworks and AI lifecycle tooling. Understanding of AI governance, security, and compliance requirements. Experience contributing to or working with AI/ML or GenAI frameworks. Background in financial services or other highly regulated industries. Core Competencies Technical Depth & Innovation – strong expertise in GenAI architectures and evolving AI technologies; balance experimentation with enterprise reliability. Architecture & Systems Thinking – design scalable, distributed, resilient systems aligned with enterprise standards. Execution & Operational Excellence – drive end‑to‑end delivery, maintain high standards of quality, security, and performance. Leadership & Collaboration – influence without authority, mentor engineers, lead through technical expertise. Business & Stakeholder Alignment – translate technical concepts into business outcomes, partner across teams. Location Requirement This role requires working from a U.S. Bank location three (3) or more days per week. 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 Equal Opportunity Employer 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. #J-18808-Ljbffr U.S. Bank