Lead AI/ML Solutions Engineer

About the role

The Lead AI/ML Solutions Engineer role at U.S. Bank is focused on accelerating the adoption of AI capabilities across the enterprise. This position serves as a technical bridge between business stakeholders, application development teams, and the AI platform organization, helping to identify opportunities, design solutions, and guide their implementation.

Responsibilities

• Partner with business stakeholders to identify and evaluate AI/ML opportunities
• Translate business requirements into scalable technical solutions
• Design and guide implementation of AI-enabled applications, services, and workflows
• Provide technical leadership across architecture, APIs, microservices, and cloud-native solutions
• Collaborate with platform engineering teams to leverage approved enterprise AI technologies and standards
• Participate in architecture reviews, design discussions, and technical decision-making
• Troubleshoot technical challenges and remove blockers impacting solution delivery
• Promote software engineering best practices, DevOps principles, and responsible AI implementation
• Mentor engineers and contribute to reusable patterns, standards, and technical documentation
• Work directly with business and technology partners to drive adoption of AI solutions across the enterprise
• Evaluate technical tradeoffs and recommend appropriate architectural approaches

Requirements

• 8+ years of hands-on software engineering experience developing enterprise applications
• Strong programming experience in Java, Python, C#, Go, or similar object-oriented languages
• Experience implementing LLM, RAG, Agentic AI, or Generative AI solutions in production environments
• Experience with LangChain, LangGraph, Semantic Kernel, MCP, or similar AI frameworks
• Experience with Azure OpenAI, AWS Bedrock, Vertex AI, or comparable AI platforms
• Strong understanding of software engineering fundamentals, design patterns, algorithms, data structures, and SDLC practices
• Experience building REST APIs and event-driven applications
• Experience with cloud platforms such as Azure, AWS, or GCP
• Experience with Kubernetes, Docker, CI/CD pipelines, and modern DevOps practices
• Architecture and solution design experience within enterprise environments
• Strong communication skills and ability to work effectively with both technical and non-technical stakeholders
• Experience leading technical discussions and influencing engineering decisions
• Ability to translate business requirements into scalable technical solutions

Qualifications

• Financial services, banking, or other highly regulated industry experience
• Experience with AI governance, observability, guardrails, and responsible AI practices
• Experience supporting enterprise AI platform adoption at scale
• Experience mentoring engineers or serving as a technical lead
• Familiarity with vector databases, retrieval architectures, and AI evaluation frameworks
• Experience with AI compliance, auditability, and risk management controls
• Experience working across multiple stakeholder groups to drive adoption of new technology solutions
• Experience with large-scale cloud modernization or platform transformation initiatives
• Experience building reusable frameworks, accelerators, or platform capabilities used across multiple teams

Skills

• Experience with LLM, RAG, Agentic AI, or Generative AI solutions in production environments
• Experience with Azure OpenAI, AWS Bedrock, Vertex AI, or comparable AI platforms
• Experience designing and implementing distributed systems and microservices architectures
• Experience with cloud platforms such as Azure, AWS, or GCP
• Experience with Kubernetes, Docker, CI/CD pipelines, and modern DevOps practices
• Experience with enterprise AI platform adoption at scale
• Experience with large-scale cloud modernization or platform transformation initiatives
• Experience building reusable frameworks, accelerators, or platform capabilities used across multiple teams

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• 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

Pay Range

$139,230.00 - $163,800.00