Devin AI Forward Deployment Engineer

Job Title: Devin AI Forward Deployment Engineer

Location: Charlotte NC (Only Local Candidate)

Client : Wells Fargo (We are working with prime Vendor)

Mode Of Interview: F2F

Need Visa Independent Candidate

Need Candidate on W2 or 1099

Responsibilities:

Lead the end-to-end rollout and scaling of GenAI tools (Devin, Claude Code, Cursor) across CDXO and LOB engineering teams.

Act as a hands-on full-stack engineer, building and integrating solutions into enterprise SDLC workflows (CI/CD pipelines, repositories, APIs).

Define and execute enterprise-wide rollout strategies, including phased onboarding and scaling models.

Partner with LOB teams to enhance the product delivery lifecycle using GenAI capabilities.

Conduct developer onboarding, training, and enablement sessions, promoting best practices in prompt engineering and workflow integration.

Monitor tool adoption, usage metrics, and performance, ensuring continuous optimization.

Provide hands-on troubleshooting, performance tuning, and scaling support.

Establish reusable playbooks and best practices for enterprise-wide GenAI adoption.

Ensure alignment with enterprise governance, security, and compliance frameworks.

Identify adoption gaps and proactively drive improvements in efficiency and scalability.

Requirements:

GenAI / LLM Expertise

Hands-on experience with:

Devin

Claude / Anthropic models

Cursor or similar developer productivity tools (Copilot, etc.)

Strong understanding of:

Prompt Engineering

RAG (Retrieval Augmented Generation)

Agent-based workflows and tool usage

Multi-agent architectures

MCP (Model Context Protocol) servers and integrations

Agentic systems including:

Orchestration

Tool chaining

Autonomous decision-driven workflows

Strong full-stack development experience with:

Java

Python

React / Angular / TypeScript

Experience with:

Distributed systems

Microservices & event-driven architectures

API design and integration

Hands-on experience with:

CI/CD pipelines

Developer tooling ecosystems

Knowledge of cloud platforms such as:

OpenShift (OCP)

Google Cloud Platform (Google Cloud Platform)