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Agentic AI Architect

EDMO

Pune

5-8 years

Today

$41.0K–60.2K/yr

Full time

Onsite

Skills Required

LLM orchestration

RAG

LangChain

Vector Database

LLM inference optimization

Google Gemini

Claude

OpenAI

LangGraph

AutoGen

CrewAI

Google ADK

Python

semantic search

AWS

Description

EDMO is building conversational intelligence for higher education with production-grade agentic AI. This senior role owns end-to-end architecture for scalable, compliant, enterprise AI systems.

Company: EDMO

Role: Agentic AI Architect

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
Experience with cloud platforms: AWS, GCP, or Azure
Experience with containerized deployments: Docker, Kubernetes

Responsibilities

Own the end-to-end technical design and architecture of agentic AI systems
Bridge research-grade AI ideas and production-hardened implementations




Define LLM pipelines, multi-agent orchestration, memory systems, and tool-use
Design multi-agent orchestration patterns including hierarchical agents, supervisor-worker topologies, plan-and-execute strategies, and agent-to-agent communication
Architect RAG pipelines, hybrid search, and knowledge management systems for higher-education content
Establish standards for prompt engineering, context-window management, token budgeting, and evaluation frameworks
Design for latency, throughput, reliability, observability, cost controls, and scaling guardrails
Build production-grade systems with structured error handling, retry logic, circuit breakers, and fallback execution paths
Define DevSecOps architecture and deployment patterns across multi-cloud environments
Implement human-in-the-loop checkpoints for sensitive decision points in student journeys
Establish monitoring, observability, and audit logging frameworks for compliance, traceabili

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