Role Overview
Wells Fargo is seeking a GenAI Software Engineer to enable and scale Generative AI capabilities across the enterprise development community. This role focuses on evaluating productionizing and integrating modern GenAI tools and agent-based solutions while supporting internal engineering platforms and applications.
Key Responsibilities
- Enable enterprise-wide GenAI capabilities for internal development teams
- Evaluate select and productionize GenAI development tools and platforms
- Design build and integrate AI agents and MCP server-based solutions
- Develop and support internal tools and applications used across engineering teams
- Implement modern engineering best practices including CI/CD automated testing and release strategies
- Collaborate with cross-functional technology and business partners to deliver scalable solutions
- Contribute to moderately complex engineering initiatives and large-scale planning efforts
- Analyze and resolve technical challenges while adhering to enterprise policies and compliance standards
Required Qualifications
- 4 years of professional Software Engineering experience
- Strong proficiency in Java (required)
- Hands-on experience with modern GenAI development tools such as:
-
- GitHub Copilot / Coding Agents
- Experience contributing to moderately complex engineering initiatives
- Solid understanding of software development lifecycle architecture and enterprise engineering standards
Preferred / Plus Skills
- 1 year of experience with AI Agents and/or MCP Server development
- Python development experience
- Prior experience integrating AI tools into enterprise development workflows
- Experience working in regulated or large-scale enterprise environments
Role Overview Wells Fargo is seeking a GenAI Software Engineer to enable and scale Generative AI capabilities across the enterprise development community. This role focuses on evaluating productionizing and integrating modern GenAI tools and agent-based solutions while supporting internal engineeri...
Role Overview
Wells Fargo is seeking a GenAI Software Engineer to enable and scale Generative AI capabilities across the enterprise development community. This role focuses on evaluating productionizing and integrating modern GenAI tools and agent-based solutions while supporting internal engineering platforms and applications.
Key Responsibilities
- Enable enterprise-wide GenAI capabilities for internal development teams
- Evaluate select and productionize GenAI development tools and platforms
- Design build and integrate AI agents and MCP server-based solutions
- Develop and support internal tools and applications used across engineering teams
- Implement modern engineering best practices including CI/CD automated testing and release strategies
- Collaborate with cross-functional technology and business partners to deliver scalable solutions
- Contribute to moderately complex engineering initiatives and large-scale planning efforts
- Analyze and resolve technical challenges while adhering to enterprise policies and compliance standards
Required Qualifications
- 4 years of professional Software Engineering experience
- Strong proficiency in Java (required)
- Hands-on experience with modern GenAI development tools such as:
-
- GitHub Copilot / Coding Agents
- Experience contributing to moderately complex engineering initiatives
- Solid understanding of software development lifecycle architecture and enterprise engineering standards
Preferred / Plus Skills
- 1 year of experience with AI Agents and/or MCP Server development
- Python development experience
- Prior experience integrating AI tools into enterprise development workflows
- Experience working in regulated or large-scale enterprise environments
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