Lead Specialty Software Engineer - Agentic AI

About this role:

Wells Fargo is seeking a Lead Specialty Software Engineer to support the design and delivery of technology solutions focused on modernizing and accelerating credit risk data migration. This role will provide technical leadership in the development of enterprise applications and Agentic AI solutions using modern full stack, cloud, and artificial intelligence technologies.

The Lead Specialty Software Engineer will design, develop, and implement scalable enterprise applications and Agentic AI solutions using modern software engineering technologies and frameworks. They will partner with business and technology teams to solve complex engineering challenges, contribute to technical design and architecture decisions, and drive engineering best practices across the software development lifecycle.

The ideal candidate will bring strong hands-on software engineering experience, expertise in modern application development, and experience building Agentic AI solutions. This role will also provide technical guidance and mentorship to other engineers while helping advance application modernization, automation, and responsible AI  this role, you will:

Design, develop, test, deploy, and support enterprise-scale applications and AI-powered solutions

Develop and maintain full stack applications using Angular and/or React, Spring Boot, SQL Server, and related technologies

Design and implement Agentic AI solutions using Lang Graph, LLMs, Retrieval-Augmented Generation (RAG), prompt engineering, and agent orchestration frameworks

Develop Python-based services, automation solutions, APIs, and data processing pipelines

Collaborate with product owners, architects, business partners, and engineering teams to define and implement technical solutions

Participate in architecture discussions, technical design reviews, and code reviews to ensure adherence to engineering standards and best practices

Analyze and resolve complex technical challenges across application, database, integration, and AI solution components

Contribute to CI/CD, Dev Ops, testing, security, and operational excellence initiatives

Mentor and provide technical guidance to junior and mid-level engineers

Stay current on emerging technologies, particularly in AI, software engineering, and application modernization

Required Qualifications:

5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, or education5+ years of experience developing Java applications using Spring Boot and microservices architectures5+ years of experience developing solutions using Python6+ months of experience building Agentic AI solutions using Lang Graph or similar agent frameworks

Desired

Qualifications:

Experience with SQL Server, including data modeling, performance tuning, and query optimization

Experience developing enterprise applications using Angular and/or React Experience working with Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), vector databases, and AI application development

Experience designing and developing RESTful APIs and distributed systems

Experience with Git, CI/CD pipelines, automated testing, and modern SDLC practices

Experience with Azure, AWS, or other cloud platforms

Experience with AI governance, observability, evaluation frameworks, and responsible AI practices

Experience developing AI-powered productivity, automation, or modernization solutions

Experience with semantic models, vector search, knowledge graphs, or metadata-driven architectures

Experience with containerization technologies such as Docker and Kubernetes Experience working in Agile environments using Jira and modern Dev Ops…