Ccube

Ccube

AI/ML Lead Architect

Raleigh, North Carolina, USA · Full-time

Sponsorship not specifiedDetected 61 days ago
PythonJavaBackend DevelopmentAzureDockerKubernetesCI/CDAPI DevelopmentMachine LearningData EngineeringData ScienceLLMsRAGAgentic AIAI OrchestrationStakeholder ManagementCommunication

About the role

  • Understand and work with MCP (Model Context Protoco), A2A (Agent-to-Agent) communication, and LLM orchestration frameworks like LangChain and Agentic AI.

Responsibilities

  • Architect and design scalable, secure, and high-performance microservices using Python OR Java.
  • Collaborate with AI/ML teams to integrate LLM-based tools and frameworks into enterprise applications.
  • Lead technical discussions with stakeholders, including product managers, data scientists, and platform teams.

Requirements

  • Full Time Exp Level- 8-10 Years Required Skills- Claude, Vibe Coding, Data Scientist, MCP ( Model Context Protocol ), Agentic AI, LLM understanding, RAG.
  • The ideal candidate will have experience or a strong interest in LLM-based frameworks (e.g., LangChain, Agentic AI), and be capable of designing scalable, intelligent solutions that integrate with major AI platforms.
  • 8+ years of experience in backend development with Python/Java Proven experience designing and deploying microservices architectures.
  • Familiarity with AI/ML concepts, especially LLMs, prompt engineering, and AI agents.
  • 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.
  • Production-level RAG implementation experience.
  • Hands-on experience with LLM-based applications or AI agent frameworks.
  • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
  • Knowledge of data pipelines and

Nice to have

  • 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?

Skills

  • Evaluate and recommend AI platforms and tools for enterprise use cases.

Benefits

  • Work on real production AI systems, not just POCs Design next-gen Agentic & LLM-powered architectures High ownership, high impact role Flexible Hybrid / Remote setup Collaborate with strong engineering & AI talent
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This listing is sourced directly from Ccube's careers page and normalized into a canonical job model.