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# Lead AI/ML Solutions Engineer

- **Company:** U.S. Bank
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $139,230.0 - $163,800.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Frameworks, Audit Trail, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Computer Programming, Continuous Integration, Data Structures, Software Design Patterns, DevOps, Distributed Systems, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Systems Development Life Cycle, Software Construction, Software Engineering, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Generative AI, AI Platforms, Kubernetes, Cloud Migration, Virtual Agents, Restful APIs, Docker, Golang, Microservices
- **Published:** July 24, 2026
- **Apply:** https://www.manhattanjobs.com/job.asp?id=3331074851&tx=KP505PFK&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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
 * Experience designing and implementing distributed systems and microservices architectures
 * 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
 * Experience supporting solutions from design through deployment and production support

Nice to Have Skills

 * 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 with distributed systems operating at enterprise scale
 * Experience building reusable frameworks, accelerators, or platform capabilities used across multiple teams

## Description

U.S. Bank is seeking a Lead AI/ML Solutions Engineer to help accelerate the adoption of AI capabilities across the enterprise. This individual will serve as a technical bridge between business stakeholders, application development teams, and the AI platform organization, helping identify opportunities, design solutions, and guide implementation of AI-powered capabilities.

This person will leverage a strong software engineering foundation and modern AI technologies to solve complex business problems. They will partner with business and technology teams to design, build, and scale AI-enabled solutions while ensuring security, reliability, maintainability, and responsible AI practices.

Main 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
 * Help development teams implement solutions using LLMs, RAG, agent frameworks, and modern AI capabilities
 * 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


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