Forward Deployment Engineer (FDE) GenAI / Full Stack Architect

Hands-on full-stack engineers responsible for enabling and scaling GenAI tools (Claude Code, Cursor, OpenAI, Gemini) across Organization.

• Lead end-to-end rollout of Claude Code, and Cursor across CDXO and LOB engineering teams
• Act as hands-on full-stack developers, building and integrating solutions into enterprise SDLC workflows (CI/CD, repos, APIs)
• Define and execute enterprise rollout strategies, including phased onboarding and scaling models
• Partner closely with different Line Of Business teams to improve the overall product delivery lifecycle through effective and optimized utilization of GenAI tools
• Conduct developer onboarding, training, and enablement sessions, driving best practices for prompt engineering and workflow integration
• Monitor tool usage, performance, and efficiency metrics, and continuously optimize adoption and outcomes
• Provide hands-on troubleshooting, performance tuning, and scaling support for engineering teams
• Establish and promote best practices and reusable playbooks for enterprise-wide GenAI adoption
• Ensure alignment with Wells Fargo governance, security, and compliance requirements, We are seeking highly skilled Forward Deployment Engineers with deep expertise in Devin/ ClaudeCode/CursorAI and modern GenAI tools to support enterprise-scale rollout and adoption across Wells Fargo. This is a hands-on full-stack engineering role focused on enabling LOB teams to improve the product delivery lifecycle through effective utilization of GenAI tools., * Design, develop, and deploy GenAI-powered solutions using Devin, Claude Code, and Cursor
• Integrate GenAI tools into enterprise SDLC workflows (CI/CD, internal platforms)
• Partner closely with Wells Fargo LOB teams to accelerate delivery and improve the end-to-end product lifecycle using GenAI capabilities
• Lead tool onboarding, training, and enablement, driving adoption and best practices across teams
• Monitor and optimize tool usage, efficiency, and performance outcomes
• Establish and drive best practices for GenAI usage, including prompt engineering and workflow integration
• Provide hands-on troubleshooting, performance tuning, and scaling support, + Claude / Anthropic models
• Developer tools like Cursor / Copilot-equivalent tools
• Strong understanding of:
• Prompt engineering
• RAG (Retrieval Augmented Generation)
• Agent-based workflows / tool usage
• Multi-agent architectures
• MCP (Model Context Protocol) servers and integrations
• Agentic services and autonomous AI workflows, including orchestration, tool chaining, and decision-driven execution across systems

• Strong full-stack engineering experience (Java, React/Angular/TypeScript, Python)
• Experience with distributed systems, APIs, Event Driven and microservices architecture
• Hands-on experience with CI/CD pipelines and developer tooling
• Strong understanding of cloud platforms (Ex. OCP, GCP)

GenAI / LLM Expertise (Must-Have)

• Hands-on experience with: (Any one atleast, 2 is a plus), * Ability to operate in fast-paced, evolving environments with high adoption demands
• Strong collaboration with cross-functional and LOB teams
• Ability to translate business needs into technical solutions
• Experience working in enterprise environments with governance and compliance requirements
• Passion for enabling teams and driving measurable productivity improvements