EDMO is building conversational intelligence for higher education, empowering universities and EdTech institutions with production-grade agentic AI. The Agentic AI Architect will own the end-to-end technical design and architecture of agentic AI systems.

Company: EDMO

Role: Agentic AI Architect

Location: Pune | Full-Time

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

Key Skills:

LLM orchestration frameworks: LangChain, LangGraph, AutoGen, CrewAI, Google ADK
Python and backend engineering fundamentals
RAG architectures, vector databases, and semantic search
Cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes)
Agent memory architectures: episodic, semantic, procedural

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, hybrid search, and knowledge management systems
Establish architectural standards for prompt engineering, context-window management, token budgeting, and evaluation frameworks
Design for non-functional requirements: latency targets, throughput, reliability, observability, cost controls, and scaling guardrails

Additional responsibilities:

Produce clear architecture documentation
Communicate architectural trade-offs to engineering teams and non-technical enterprise clients
Lead architecture and design reviews, mentoring engineers on agentic patterns and production best practices
Serve as the technical point of

Nice to have:

Experience with voice AI / telephony
Salesforce / CRM integration experience
Higher education domain knowledge
FERPA / SOC 2 compliance experience
Familiarity with n8n or workflow automation tools
Experience with Databricks / MongoDB for AI data pipelines
Google Gemini / Vertex AI experience

Other:

Opportunity: Direct path to VP of AI as EDMO scales
Impact: Your architecture decisions shape the AI experience for hundreds of thousands of students at leading US universities
Tech Stack: Python, LangGraph, LangChain, Google Gemini / Claude / OpenAI (multi-LLM), MongoDB, Databricks, Salesforce integrations
Deployment: Production-grade microservices, containerized on cloud with CI/CD pipelines
Compliance Environment: FERPA, SOC 2, VPAT
Team: Small, high-caliber engineering team. Architects write architecture AND contribute to code
Clients: US-based universities and EdTech platforms at enterprise scale

Agentic AI Architect

Skills Required

Description