Lead Specialty Software Engineer - AI Engineering

About This Role

Lead the development and integration of AI-powered solutions across complex, business-critical systems for Wells Fargo. This role involves both hands-on engineering and technical leadership, focusing on operational excellence, risk management, and regulatory compliance.

Responsibilities

• Lead complex technical initiatives within assigned domains, delivering scalable and resilient AI-enabled solutions
• Design, develop, test, and implement applications, system components, tools, utilities, and services leveraging modern technologies
• Build and integrate AI and Generative AI capabilities into enterprise applications, including LLM-driven features
• Ensure systems are effectively monitored to improve operational efficiency and proactively mitigate risk
• Identify opportunities to optimize resource utilization, enhance processes, and reduce operational costs
• Troubleshoot and resolve complex coding, testing, and escalated platform issues
• Lead teams to ensure compliance with security, risk, and regulatory requirements, and partner with stakeholders to implement key risk initiatives
• Mentor and coach less experienced software engineers, promoting best practices and technical growth
• Collaborate with and influence stakeholders across engineering, product, platform, and production support teams
• Lead teams to successfully meet project objectives, milestones, and delivery expectations
• Partner closely with production support and platform engineering teams to ensure system stability and continuity

Requirements

• 5+ years of Specialty Software Engineering experience
• 2+ years of hands-on experience developing backend applications using Python and/or Java
• Experience with RESTful services and frameworks such as Spring Boot
• 2+ years of experience building modern user interfaces or chatbot applications using React and/or Angular
• Solid understanding of component-based architecture
• 2+ years of experience working with AI or Generative AI frameworks (e.g., LangChain, LangGraph) to build or integrate AI-enabled application features

Qualifications

• 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through work experience, training, education, or military service

Nice to Have

• Experience participating in LLM evaluation or validation activities, including testing, quality assessment, or performance analysis of model outputs
• Demonstrated knowledge of prompt engineering techniques, including prompt design, experimentation, iteration, and optimization
• Practical experience using AI-assisted development tools (e.g., GitHub Copilot) to improve developer productivity and code quality
• Experience contributing to reusable components, libraries, or shared frameworks within an enterprise application environment
• Familiarity with AI observability, evaluation, or monitoring tools to support reliability, performance, and governance

Skills

* Required skills

Benefits