Lead AI Platform Engineer at U.S. Bank – Chicago | Jobyssey

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.

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

***This 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.

Benefits:

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

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.

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.

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.

Lead AI Platform Engineer

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