Jobs · Information Technology · North Carolina

AI & ML Tech Lead/Architect

Ccube · Raleigh-Durham-Chapel Hill Area · 2 wk ago
On-siteInformation TechnologyFull-time

Key Responsibilities

  • Architect and design scalable, secure, and high-performance microservices using Python.
  • Collaborate with AI/ML teams to integrate LLM-based tools and frameworks into enterprise applications.
  • Understand and work with MCP (Model Context Protoco), A2A (Agent-to-Agent) communication, and LLM orchestration frameworks like LangChain and Agentic AI.
  • Evaluate and recommend AI platforms and tools for enterprise use cases.
  • Translate business requirements into technical solutions that leverage both traditional and AI-driven components.
  • Lead technical discussions with stakeholders, including product managers, data scientists, and platform teams.
  • Ensure architectural alignment with enterprise standards and best practices.

Required Skills & Experience

  • 5+ years of experience in backend development with Python.
  • Proven experience designing and deploying microservices architectures.
  • Familiarity with AI/ML concepts, especially LLMs, prompt engineering, and AI agents.
  • Understanding of LangChain, Agentic AI, or similar LLM orchestration frameworks.
  • Experience integrating with AI platforms (e.g., OpenAI, Azure OpenAI, Anthropic, Hugging Face).
  • Strong understanding of API design, event-driven systems, and cloud-native architectures.
  • Excellent communication and stakeholder management skills.
  • Production-level RAG implementation experience.
  • Hands-on experience with LLM-based applications or AI agent frameworks.
  • Exposure to MCP, A2A, or similar AI infrastructure concepts.
  • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
  • Knowledge of data pipelines and AI model lifecycle management.

Nice-to-Have / Big Plus

  • Experience with MCP, A2A, or similar AI infrastructure concepts.
  • Knowledge of data pipelines & AI model lifecycle management.
  • Prior experience architecting enterprise AI platforms.

Why Join Us?

Work on real production AI systems, not just POCs
Design next-gen Agentic & LLM-powered architectures
High ownership, high impact role
Flexible Hybrid setup
Collaborate with strong engineering & AI talent

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