What are the responsibilities and job description for the AI Deployment Engineer/Lead- Devin AI position at Neodym Technologies?
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