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    Home/Jobs/Agentic AI Architect - LLM/RAG

    Agentic AI Architect - LLM/RAG

    EDMO

    Pune
    5+ years
    46 days ago
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    LangChain
    OpenAI
    Google Gemini
    Agentic AI
    LangGraph
    Python
    MongoDB
    Databricks
    Vertex AI
    AI
    System Architecture
    Docker
    Kubernetes

    Description

    EDMO is building the next generation of conversational intelligence for higher education. The Agentic AI Architect will own the end-to-end technical design and architecture of their agentic AI systems.

    Company: EDMO

    Role: Agentic AI Architect - LLM/RAG

    Location: Pune

    Experience:

    • 5+ years of hands-on software engineering
    • 3+ years specifically in production AI/ML systems
    • Demonstrated experience designing and shipping multi-agent AI systems in production

    Qualification:

    • 5+ years of hands-on software engineering experience

    Role Focus: • Define the end-to-end agentic AI architecture • Design multi-agent orchestration patterns • Architect RAG pipelines • Establish architectural standards for prompt engineering • Design for non-functional requirements • Build production-grade systems • Define DevSecOps architecture • Implement human-in-the-loop checkpoints • Establish monitoring, observability, and audit logging frameworks • Design secure AI architectures • Produce clear architecture documentation • Communicate architectural trade-offs • Lead architecture and design reviews

    Nice to have:

    • Experience with voice AI / telephony
    • Salesforce / CRM integration experience
    • University CRM and SIS integrations
    • Higher education domain knowledge
    • FERPA / SOC 2 compliance experience
    • Familiarity with n8n or workflow automation tools
    • Experience with Databricks / MongoDB
    • Google Gemini / Vertex AI experience

    More skills:

    Technical Architect

    Other:

    • Tech Stack: Python, LangGraph, LangChain, Google Gemini / Claude / OpenAI, MongoDB, Databricks, Salesforce integrations
    • Deployment: Production-grade microservices, containerized on cloud with CI/CD pipelines
    • Compliance Environment: FERPA, SOC 2, VPAT security and privacy
    • Team: Small, high-caliber engineering team. Architects write architecture AND contribute to code
    • Clients: US-based universities and EdTech platforms at enterprise scale

    Prepare for this role

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