EDMO | Conversational Intelligence Platform for Higher Education
Location: Pune| Level: Senior | Type: Full-Time
EDMO is building the next generation of conversational intelligence for higher education. Our platform empowers universities and EdTech institutions with production-grade agentic AI — enabling intelligent student advisors, enrollment agents, academic support workflows, and enterprise automation. We work with forward-thinking institutions (including flagship US university partners) and are scaling fast. If you love designing AI systems that actually run in production, this role is for you.
As the Agentic AI Architect at EDMO, you will own the end-to-end technical design and architecture of our agentic AI systems. You will be the bridge between research-grade AI ideas and production-hardened implementations — defining how LLM pipelines, multi-agent orchestration, memory systems, and tool-use come together into a coherent, scalable platform.
You will design systems that run at enterprise scale, handle real student interactions, integrate with university SIS/CRM platforms, and meet compliance standards (FERPA, SOC 2). Equally important, you will be able to communicate complex architecture decisions clearly to engineers, product stakeholders, and enterprise clients.
System Architecture & Design
Define the end-to-end agentic AI architecture — LLM orchestration layers, agent coordination mechanisms, memory management, tool-calling patterns, and multi-agent workflows
Architect RAG (Retrieval-Augmented Generation) pipelines, hybrid search, and knowledge management systems tailored to higher-education content (catalogs, policies, student data)
Define DevSecOps architecture and deployment patterns across multi-cloud environments.
Establish monitoring, observability, and audit logging frameworks for compliance, traceability, and agent behavior analysis
Design secure AI architectures — threat modeling, adversarial prompt defenses, and data privacy controls aligned with FERPA and SOC 2
Produce explicit architecture documentation: reference diagrams, integration patterns, decision records, ADRs, and runbooks for production operations
Communicate architectural trade-offs to both engineering teams and non-technical enterprise clients in a structured,



accessible way
Lead architecture and design reviews, mentoring engineers on agentic patterns and production best practices
Serve as the technical point of contact for enterprise client integrations — translating institutional requirements into AI system design
Stay current with the latest agent frameworks (LangGraph, CrewAI, AutoGen, Google ADK), LLM advancements, and inference optimization techniques
Drive the technology roadmap for EDMO's agentic platform — identifying where autonomous agents can replace manual workflows with measurable ROI
5+ years of hands-on software engineering, with 3+ years specifically in production AI/ML systems

- Demonstrated experience designing and shipping multi-agent AI systems in production (not just prototypes or demos)
- Deep expertise with LLM orchestration frameworks: LangChain, LangGraph (preferred), and/or AutoGen, CrewAI, Google ADK
- Strong command of Python and backend engineering fundamentals — APIs, microservices, async patterns
- Hands-on experience with RAG architectures, vector databases, and semantic search
- Proficiency with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes)

Architecture & Systems Thinking
Ability to design systems addressing latency, scalability, reliability, and cost simultaneously — not just 'it works on my local machine'
Experience with agent memory architectures: episodic, semantic, procedural — and state management in stateful multi-agent graphs
Familiarity with LLM inference optimization — quantization, model routing, caching, context compression
Ability to produce clear architecture diagrams and technical documentation accessible to both engineers and non-technical stakeholders
Experience presenting architecture to enterprise clients or senior leadership




Track record of leading technical design reviews and influencing architecture decisions without direct authority
SkillWhy It Matters at EDMOExperience with voice AI / telephony EDMO has voice agent modules for student engagement Salesforce / CRM integration experienceUniversity CRM and SIS integrations are core to our enterprise deployments Higher education domain knowledgeUnderstanding of admissions, advising, and enrollment workflows accelerates delivery FERPA / SOC 2 compliance experienceRequired for US university enterprise clientsFamiliarity with n8n or workflow automation toolsUsed in select automation workflows (but production AI agents are primary)Experience with Databricks / MongoDB for AI data pipelinesCore to EDMO's data layerGoogle Gemini / Vertex AI experiencePart of our multi-LLM strategy
Research-only, notebook-bound, or demo-focused ML work
Low-code/no-code automation tool configuration (Zapier, Make, etc.)
'Prompt-only' AI work without systems thinking
Architecture decks that never get built
Tech Stack: Python, LangGraph, LangChain, Google Gemini / Claude / OpenAI (multi-LLM), MongoDB, Databricks, Salesforce integrations,
Production-grade microservices, containerized on cloud with CI/CD pipelines
Compliance Environment: FERPA, SOC 2, VPAT — security and privacy are first-class concerns
Team: Small, high-caliber engineering team. Architects write architecture AND contribute to code
US-based universities and EdTech platforms at enterprise scale
Full audit of existing agentic system architecture; documented gaps, risks, and improvement areas

Delivered a reference agentic architecture for at least one production agent workflow; established architecture review process with the engineering team

Led architecture for a major platform capability (e.g., communicated architecture to at least one enterprise client; established observability and evaluation framework for agents in production

Compensation & Growth
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
This role sits at the intersection of applied AI research, enterprise product engineering, and client strategy — rare in the market

📌 AI ML Architect (Pune)
🏢 EDMO Distributors
📍 Pune