Lead AI Engineer Observability

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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

• Bachelors degree or equivalent work experience

• Six to eight years of relevant experience

Experience Should Include

• Bachelors or Masters 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 theres anything we can do to accommodate a disability during any portion of the application or hiring process please refer to ourdisability 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. Thats 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 theE-Verify program.

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.