Lead AI Engineer - Observability

U.S. Bank; Chicago, Northern (IL, KY); Hybrid; USD 139,000 - 164,000; Full time

Benefits offered by this job

Healthcare

Life insurance

Disability

Parental leave

401(k)

Job summary

U.S. Bank is seeking a Lead Engineer (Generative AI) to design, develop, and deploy enterprise-scale GenAI capabilities.

You will apply LLMs, RAG, and agentic AI to deliver secure, scalable solutions aligned with enterprise standards for security and risk. You will lead cross-functional teams, influence architecture decisions, and ensure production readiness across cloud environments (Azure and AWS), containers, and IaC, while mentoring engineers and collaborating with product, risk, and

Qualifications

• Bachelor’s degree, or equivalent work experience.
• 8+ years of software/AI/Platform experience.
• 2+ years GenAI hands-on with LLMs, RAG, vector databases.
• Experience with Azure and AWS and Python.

Responsibilities

• GenAI Solution Engineering: Design, develop, and deploy GenAI solutions leveraging LLMs, RAG, prompt engineering, and agentic AI workflows.
• GenAIOps & Lifecycle Management: Lead end-to-end lifecycle including architecture, secure deployment, monitoring, and optimization.
• Cloud, Platform & Scalability Engineering: Architect GenAI apps across Azure and AWS; ensure high availability and security.
• Software Engineering & Architecture: Develop scalable applications using Python and microservices; maintain CI/CD pipelines and best practices.
• Technical Leadership & Influence: Provide architectural leadership; mentor engineers; align with stakeholders across product, risk, and security.

Skills

GenAI architectures

LLMs

RAG architectures

LangChain

LangGraph

Python

Docker

Kubernetes

Terraform

Security

Mentoring

Education

Bachelor's degree in CS/Engineering

Master's degree (preferred)

Tools

Azure

AWS

Terraform

CI/CD

Job description

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. 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 Responsibilities

• 1. GenAI Solution Engineering Design, develop, and deploy GenAI solutions leveraging: Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) architectures Prompt engineering techniques Agentic AI workflows and orchestration Build intelligent systems using frameworks such as LangChain, LangGraph, AWS Bedrock, and Microsoft Foundry Agent Service Evaluate emerging tools and frameworks to continuously improve solution quality and innovation
• 2. GenAIOps & Lifecycle Management Lead the end-to-end lifecycle of GenAI solutions, including: Solution architecture and engineering Integration with enterprise systems Secure deployment and release management Monitoring, observability, and continuous optimization Implement GenAIOps best practices to ensure scalability, reliability, and cost efficiency Establish logging, evaluation, and feedback mechanisms for production AI systems
• 3. Cloud, Platform & Scalability Engineering Architect and deploy GenAI applications across cloud environments (Azure and AWS) Design distributed systems capable of supporting 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
• 4. 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
• 5. Technical Leadership & Influence Provide architectural leadership and guidance across GenAI initiatives Drive critical design decisions for large-scale, complex 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 Six to eight years of relevant experience Experience Should Include Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 8+ years of experience in software engineering, platform engineering, or AI/ML solutions 2+ years hands‑on experience with GenAI technologies, including LLMs and 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 Ability to balance experimentation with enterprise-grade reliability
• Architecture & Systems Thinking Designs scalable, distributed, and resilient systems Aligns architecture decisions with enterprise standards and long‑term strategy
• Execution & Operational Excellence Drives end-to-end delivery from concept through production Ensures high standards for quality, security, and performance
• Leadership & Collaboration Influences without authority and leads through technical expertise Mentors engineers and elevates overall team capability
• Business & Stakeholder Alignment Translates complex technical concepts into business outcomes Partners effectively across product, engineering, and leadership teams

Work Location

***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

Review our full benefits available by employment status here.

Equal 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.

Background Checks and Legal

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. 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). Pay Range: $139,230.00 - $163,800.00 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. Posting may be closed earlier due to high volume of applicants.

About U.S. Bank

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.