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