GenAI / Full Stack
Onsite: Charlotte, NC
Mphasis/Wellsfargo
Overview
We are seeking highly skilled Forward Deployment Engineers with deep expertise in Devin 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.
Key Responsibilities
- 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
Required Technical Skills
- 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, Google Cloud Platform)
GenAI / LLM Expertise (Must-Have)
- Hands-on experience with:
o Devin
o Claude / Anthropic models
o Developer tools like Cursor / Copilot-equivalent tools
o Prompt engineering
o RAG (Retrieval Augmented Generation)
o Agent-based workflows / tool usage
o Multi-agent architectures
o MCP (Model Context Protocol) servers and integrations
o Agentic services and autonomous AI workflows, including orchestration, tool chaining, and decision-driven execution across systems
Soft Skills & Expectations
- 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
Roles & Responsibilities
- The Forward Deployment Engineers (FDEs) will act as hands-on full-stack engineers responsible for enabling and scaling GenAI tools (Devin, Claude Code, Cursor) across Wells Fargo.
- Lead end-to-end rollout of Devin, 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 Wells Fargo LOB 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
Delivery Expectations
- Successful deployment and scaling of Devin, Claude Code, and Cursor across CDXO and LOB teams
- Demonstrable improvement in the product delivery lifecycle, including faster development, testing, and remediation cycles through effective GenAI utilization
- Increased developer productivity and automation outcomes driven by optimized usage of Devin, Claude Code, and Cursor
- Defined, adopted, and standardized enterprise playbooks and best practices for GenAI usage across teams
- Continuous monitoring and reporting of adoption metrics, usage efficiency, and value realization
- Stable, secure, and governed integration of GenAI tools into the enterprise SDLC ecosystem
- Proactive identification and resolution of adoption gaps, inefficiencies, and scaling challenges
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