AI Architect

Posted 13 Days Ago
Be an Early Applicant
Hiring Remotely in CAN
Remote
Expert/Leader
Information Technology • Professional Services • Software • Consulting
The Role
The AI Architect will design enterprise-grade AI solutions using Generative AI, LLMs, and orchestration frameworks, focusing on building scalable systems and developing production-ready applications.
Summary Generated by Built In

This is a remote position.

We are seeking a highly experienced AI Architect with deep expertise in Generative AI, Large Language Models (LLMs), and modern AI orchestration frameworks such as LangChain and LangGraph. The ideal candidate will have strong hands-on experience designing enterprise-grade AI solutions, building scalable RAG (Retrieval-Augmented Generation) pipelines, integrating MCP servers using Python, and developing production-ready AI applications leveraging modern LLM ecosystems.



Requirements
  • 12–15+ years of overall IT experience with strong architecture background.
  • Extensive hands-on experience with Python development.
  • Strong expertise in LangChain and LangGraph frameworks.
  • Experience integrating MCP servers using Python.
  • Deep understanding of RAG architecture and LLM application development.
  • Hands-on experience with vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS.
  • Experience working with OpenAI, Anthropic, Gemini, Llama, or other LLM ecosystems.
  • Strong understanding of prompt engineering and AI orchestration patterns.
  • Experience developing REST APIs and microservices.
  • Familiarity with Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.
  • Experience with AI monitoring, evaluation, and optimization techniques.
  • Strong knowledge of scalable distributed systems and enterprise architecture.


Skills Required

  • 12-15+ years IT experience with architecture background
  • Extensive hands-on experience with Python
  • Strong expertise in LangChain and LangGraph
  • Experience integrating MCP servers using Python
  • Deep understanding of RAG architecture and LLM application development
  • Hands-on experience with vector databases
  • Experience with OpenAI, Anthropic, Gemini, Llama, or other LLM ecosystems
  • Strong understanding of prompt engineering and AI orchestration patterns
  • Experience developing REST APIs and microservices
  • Familiarity with Docker, Kubernetes, and cloud platforms
  • Experience with AI monitoring, evaluation, and optimization techniques
  • Strong knowledge of scalable distributed systems and enterprise architecture
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The Company
45 Employees
Year Founded: 2008

What We Do

Workiy is a global company with more than 20 years of experience that provides end-to-end digital solutions, consulting and implementation services to its clients, including digital solutions and staffing services.

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