AI Architect - Agentic AI & GenAI Solutions

Job Summary

Seeking an experienced AI Architect with a strong background in designing and delivering Agentic AI solutions. The candidate should have led end-to-end software development projects and possess hands-on experience in modern AI frameworks, cloud platforms, and full-stack development.

Responsibilities

• Architect and develop enterprise-grade Agentic AI solutions.
• Design and implement RAG-based applications and multi-agent workflows.
• Build AI solutions using LangGraph, LangChain, MCP, and Azure AI services.
• Define scalable, secure, and production-ready AI architectures.
• Lead software projects from requirements through deployment and support.
• Mentor development teams and drive AI best practices.

Required Skills

• 10+ years of software development experience.
• Strong expertise in:
  • LangGraph
  • LangChain
  • RAG (Retrieval-Augmented Generation)
  • MCP (Model Context Protocol)
  • Azure AI / Azure OpenAI
  • Python
• Experience with multi-agent systems and AI orchestration.
• Hands-on experience with at least one full-stack technology stack (React/Angular/Vue with Python/.NET/Node.js).
• Experience with REST APIs, microservices, CI/CD, and cloud-native architectures.
• Proven ability to lead end-to-end software delivery and architecture initiatives.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.