Program Manager PRGMGR

Job Title: Forward Deployment Engineer (FDE) GenAI / Full Stack
Client: Wells Fargo
Bill Rate: $78/hr
Location: Irving TX (Onsite 5 days/week)
No Duplicate Submissions to 57960-1 or 57958-1

Role Overview:
We are seeking a highly experienced Forward Deployment Engineer (FDE) with strong expertise in GenAI technologies and full-stack development. This role involves working closely with Wells Fargo LOB teams to deploy integrate and optimize AI-driven solutions to improve SDLC processes and overall productivity.

Key Responsibilities:
Design develop and deploy GenAI-powered solutions using Devin Claude Code and Cursor
Integrate GenAI tools into enterprise SDLC workflows (CI/CD and internal platforms)
Partner with Wells Fargo LOB teams to accelerate product delivery and lifecycle improvements
Lead tool onboarding training and enablement initiatives
Drive adoption and establish best practices for GenAI usage
Monitor and optimize tool performance efficiency and usage
Implement prompt engineering and workflow integration best practices
Provide hands-on troubleshooting performance tuning and scaling support

Required Technical Skills:
Strong full-stack experience with Java 17 Spring Boot React/Angular/TypeScript and Python
Experience with distributed systems APIs event-driven architecture and microservices
Hands-on experience with CI/CD pipelines and developer tooling
Experience with cloud platforms such as OCP (OpenShift) or GCP

GenAI / LLM Expertise (Must-Have):
Hands-on experience with Devin Claude (Anthropic) and developer AI tools like Cursor or Copilot
Strong understanding of prompt engineering RAG (Retrieval Augmented Generation) and agent-based workflows
Experience with multi-agent architectures
Experience with MCP (Model Context Protocol) servers and integrations
Knowledge of agentic services and autonomous AI workflows including orchestration tool chaining and decision-driven execution

Top 3 Required Skills:
Advanced Java 17 with Spring Boot microservices development
Strong hands-on GenAI experience including MCP development
Ability to work in fast-paced enterprise environments with high adoption demands

Experience Requirements:
Minimum 14 years of hands-on experience
Experience working in enterprise environments with governance and compliance requirements

Soft Skills and Expectations:
Strong collaboration with cross-functional and LOB teams
Ability to translate business needs into technical solutions
Ability to operate in fast-paced evolving environments
Passion for driving productivity improvements through AI enablement