Lead Specialty Software Engineer - Agentic AI
Wells Fargo1 day ago
Responsibilities
- 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 LangGraph, LLMs, Retrieval-Augmented Generation, 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.
- Analyze and resolve complex challenges across application, database, integration, and AI solution components.
- Contribute to DevOps, testing, security, CI/CD, and operational excellence initiatives.
- Mentor junior and mid-level engineers and provide technical guidance.
- Drive modernization, automation, AI adoption, and high-quality solution delivery while influencing technical decisions.
Requirements
- At least 5 years of Specialty Software Engineering experience or equivalent demonstrated through work experience, training, military experience, or education.
- At least 5 years of experience developing Java applications with Spring Boot and microservices architectures.
- At least 5 years of experience developing solutions using Python.
- At least 6 months of experience building Agentic AI solutions using LangGraph or similar agent frameworks.
- Experience with SQL Server, including data modeling, performance tuning, and query optimization.
- Experience developing enterprise applications with Angular and/or React.
- Experience with LLMs, prompt engineering, RAG, vector databases, and AI application development.
- Experience designing and developing distributed systems and APIs.
- Experience with Git, CI/CD pipelines, automated testing, cloud platforms such as Azure or AWS, and containerization technologies such as Docker and Kubernetes.
- Experience with AI governance, observability, evaluation frameworks, responsible AI, semantic models, vector search, knowledge graphs, or metadata-driven architectures is desirable.
- Experience working in Agile environments using Jira and modern DevOps practices.
- Demonstrated technical leadership, mentoring ability, communication skills, analytical ability, troubleshooting skills, and problem-solving skills.
Benefits
- The role requires onsite work in one of the posted locations under the company’s hybrid policy.
- The posting closes October 14, 2026, though it may be removed earlier due to applicant volume.
Categories
About Wells Fargo
Wells Fargo & Company is a U.S.-based financial services firm providing consumer and commercial banking, mortgages, credit, and wealth/investment services to individuals, small businesses, and enterprises. It earns revenue from interest income and fees across retail banking, payments, lending, and capital markets. Founded in 1852 and headquartered in San Francisco, it is publicly traded on the NYSE (WFC) and operates nationally with offices in multiple countries.