Lead AI Engineer - Observability

Lead Engineer (Generative AI)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.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.The role partners across engineering, product, and business teams to translate complex requirements into production-ready AI capabilities aligned with enterprise standards for security, risk, and responsible AI.Key ResponsibilitiesGenAI Solution EngineeringDesign, develop, and deploy GenAI solutions leveraging:Large Language Models (LLMs)Retrieval-Augmented Generation (RAG) architecturesPrompt engineering techniquesAgentic AI workflows and orchestrationBuild intelligent systems using frameworks such as LangChain, LangGraph, AWS Bedrock, and Microsoft Foundry Agent ServiceEvaluate emerging tools and frameworks to continuously improve solution quality and innovationGenAIOps & Lifecycle ManagementLead the end-to-end lifecycle of GenAI solutions, including:Solution architecture and engineeringIntegration with enterprise systemsSecure deployment and release managementMonitoring, observability, and continuous optimizationImplement GenAIOps best practices to ensure scalability, reliability, and cost efficiencyEstablish logging, evaluation, and feedback mechanisms for production AI systemsCloud, Platform & Scalability EngineeringArchitect and deploy GenAI applications across cloud environments (Azure and AWS)Design distributed systems capable of supporting high-throughput, low-latency AI workloadsLeverage modern infrastructure practices:Containerization (Docker)Orchestration (Kubernetes)Infrastructure as Code (Terraform, ARM/Bicep)Ensure high availability, performance, and enterprise-grade securitySoftware Engineering & ArchitectureDevelop scalable, maintainable applications using Python and microservices-based architecturesApply secure coding standards and robust data handling practices for regulated environmentsBuild and manage CI/CD pipelines supporting automated testing, deployment, and release managementEnforce engineering best practices including code reviews, testing, and documentationTechnical Leadership & InfluenceProvide architectural leadership and guidance across GenAI initiativesDrive critical design decisions for large-scale, complex AI solutionsMentor and coach senior engineers and development teamsTranslate business requirements into scalable, secure, and resilient technical solutionsPartner with stakeholders across product, business, risk, and security functionsBasic QualificationsBachelor's degree, or equivalent work experienceSix to eight years of relevant experienceExperience Should IncludeBachelor's or Master's degree in Computer Science, Engineering, or related field8+ years of experience in software engineering, platform engineering, or AI/ML solutions2+ years hands-on experience with GenAI technologies, including LLMs and RAG architectures and vector databasesStrong 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 patternsProficiency in Python and microservices-based developmentExperience with Docker, Kubernetes, and Infrastructure as Code toolsDemonstrated technical leadership and mentoring experiencePreferred QualificationsExperience implementing GenAI solutions in enterprise or regulated environmentsFamiliarity with observability frameworks and AI lifecycle toolingUnderstanding of AI governance, security, and compliance requirementsExperience contributing to or working with AI/ML or GenAI frameworksBackground in financial services or other highly regulated industriesCore CompetenciesTechnical Depth & InnovationStrong expertise in GenAI architectures and evolving AI technologiesAbility to balance experimentation with enterprise-grade reliabilityArchitecture & Systems ThinkingDesigns scalable, distributed, and resilient systemsAligns architecture decisions with enterprise standards and long-term strategyExecution & Operational ExcellenceDrives end-to-end delivery from concept through productionEnsures high standards for quality, security, and performanceLeadership & CollaborationInfluences without authority and leads through technical expertiseMentors engineers and elevates overall team capabilityBusiness & Stakeholder AlignmentTranslates complex technical concepts into business outcomesPartners effectively across product, engineering, and leadership teamsThis 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.BenefitsHealthcare (medical, dental, vision)Basic term and optional term life insuranceShort-term and long-term disabilityPregnancy disability and parental leave401(k) and employer-funded retirement planPaid vacation (from two to five weeks depending on salary grade and tenure)Up to 11 paid holiday opportunitiesAdoption assistanceSick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by lawU.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.