AI Deployment Engineer/Lead- Devin AI

Role:  AI Deployment Engineer/Lead- Devin AI Location: Charlotte NC(Onsite)(Hybrid) W2 for all the independent candidates and H1B transfers The Role There are 5 positions available.  Relocation is fine but please avoid West Coast and TX, VA since many backouts are there from these locations Synechron/Wells Fargo Responsibilities: Lead the end-to-end rollout and scaling of GenAI tools (Devin, Claude Code, Cursor) across 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: 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)   GenAI / LLM Expertise (Must-Have) 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 Preferred, but not required: Ability to thrive in fast-paced, evolving environments Strong collaboration with cross-functional and LOB teams Capability to translate business requirements into technical solutions Experience working in enterprise environments with governance & compliance Strong passion for driving adoption and improving developer productivity