Edmo

**Agentic AI Architect** **EDMO \| Conversational Intelligence Platform for Higher Education** **Location: Pune\| Level: Senior \| Type: Full-Time** **About EDMO** EDMO is an AI-powered company that provides enrollment-centric solutions to universities, colleges, and higher education institutions. By streamlining repetitive tasks—such as document verification, transcript evaluation, SOP/essay reviews, and applicant matching—EDMO enables its clients to process student applications faster and more accurately. Its intelligent workflows not only reduce administrative workload but also empower admission advisors to focus on personalized guidance and student engagement. With features like AI-powered chatbots, Photo ID verification, GPA calculator, and transfer credit evaluation, EDMO ensures transparency and efficiency across the enrollment journey. Institutions using EDMO services report significant time savings, improved decision-making, and enhanced student satisfaction. At its core, EDMO is built to reimagine & streamline admissions—making them smarter, quicker, and more human-centric. **Role Overview** 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. This is not a research or prototyping role. 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. What You'll Own **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 ●Design multi-agent orchestration patterns including hierarchical agents, supervisor-worker topologies, plan-and-execute strategies, and agent-to-agent (A2A) communication ●Architect RAG (Retrieval-Augmented Generation) pipelines, hybrid search, and knowledge management systems tailored to higher-education content (catalogs, policies, student data) ●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 **Production Engineering Standards** ●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 (HITL) checkpoints for sensitive decision points within student journeys ●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 **Client & Team Communication** ●Produce clear 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 **Research & Innovation** ●Stay current with the latest agent frameworks (LangGraph, CrewAI, AutoGen, Google ADK), LLM advancements, and inference optimization techniques ●Build prototypes and proof-of-concepts to validate architectural approaches before committing to production builds ●Drive the technology roadmap for EDMO's agentic platform — identifying where autonomous agents can replace manual workflows with measurable ROI **You'll Be a Great Fit If You Have** **Core Technical Requirements** ●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 ●Understanding of API gateway design, service boundaries, versioning, and governance Communication & Leadership ●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 **How We Work** ●Tech Stack: Python, LangGraph, LangChain, Google Gemini / Claude / OpenAI (multi-LLM),

₹25 to ₹30

**About Us** EDMO is an AI-powered company that provides enrollment-centric solutions to universities, colleges, and higher education institutions. By streamlining repetitive tasks—such as document verification, transcript evaluation, SOP/essay reviews, and applicant matching—EDMO enables its clients to process student applications faster and more accurately. Its intelligent workflows not only reduce administrative workload but also empower admission advisors to focus on personalized guidance and student engagement. With features like AI-powered chatbots, Photo ID verification, GPA calculator, and transfer credit evaluation, EDMO ensures transparency and efficiency across the enrollment journey. Institutions using EDMO services report significant time savings, improved decision-making, and enhanced student satisfaction. At its core, EDMO is built to reimagine & streamline admissions—making them smarter, quicker, and more human-centric. **Location**: Pune, Maharashtra — Full-time, On-site - Hybird **Key Responsibilities** • Drive technical strategy and architectural decisions — including backend, API design, and system design — for EDMO's product portfolio • Own and evolve backend architecture using Node.js / NestJS and front-end solutions in React or Angular • Define and implement telemetry, observability, and monitoring standards (logging, tracing, alerting) across services • Foster a culture of innovation, continuous learning, and technical excellence • Manage sprint planning, code reviews, and technical delivery timelines • Collaborate closely with product management and design teams • Guide technical hiring and team scaling decisions • Ensure code quality, security, and performance standards • Lead technical discussions with university clients and stakeholders • Drive adoption of best practices, tools, and development methodologies

₹30 to ₹45

**Company: EDMO** **Location: Pune** **Role Type: Full-time** **About Us** EDMO is an AI-powered company that provides enrollment-centric solutions to universities, colleges, and higher education institutions. By streamlining repetitive tasks—such as document verification, transcript evaluation, SOP/essay reviews, and applicant matching—EDMO enables its clients to process student applications faster and more accurately. Its intelligent workflows not only reduce administrative workload but also empower admission advisors to focus on personalized guidance and student engagement. With features like AI-powered chatbots, Photo ID verification, GPA calculator, and transfer credit evaluation, EDMO ensures transparency and efficiency across the enrollment journey. Institutions using EDMO services report significant time savings, improved decision-making, and enhanced student satisfaction. At its core, EDMO is built to reimagine & streamline admissions—making them smarter, quicker, and more human-centric. Website - https://goedmo.com/ **Role Overview** EDMO is hiring a Senior AI Lead to own and scale our AI stack across document intelligence, conversational intelligence, and data intelligence. You will turn prototypes into robust, production-grade capabilities that integrate deeply with customer systems and meet strict standards for scale, reliability, and security. You will work closely with product and engineering leadership, lead a small high-performing AI team, and directly influence how universities and institutions experience EDMO’s platform. **Key Responsibilities** 1. AI Strategy & Architecture 2. Define and own the end-to-end AI architecture across document, conversational, and data intelligence. 3. Design multi-tenant, cloud-native AI services optimized for performance, cost, and reliability. 4. Establish standards for prompt engineering, tool/agent orchestration, RAG, fine-tuning, evaluation, and monitoring. 5. Translate product requirements into clear technical designs, milestones, and delivery plans. **2\. Document Intelligence** - Lead design and implementation of document understanding pipelines for transcripts, forms, financial docs, policies, and knowledge bases. - Build capabilities for OCR, layout analysis, entity extraction, classification, validation, and summarization. - Implement retrieval-augmented generation over large document corpora, including indexing, chunking, and relevance tuning. - Define quality metrics and automated evaluation suites to continuously improve accuracy, robustness, and latency. **3\. Conversational Intelligence** - Own the architecture of production-grade chat and voice assistants across web, mobile, and telephony channels. - Design agentic workflows combining LLMs, tools/APIs, memory, and business rules to support complex student and staff journeys. - Implement guardrails, policies, and UX patterns to minimize hallucinations and ensure safe, compliant responses. - Set up a rigorous evaluation framework for conversation quality, containment, user satisfaction, and escalation performance. - **4\. Customer System Integrations** - Architect and oversee integrations with customer CRMs, SIS, telephony, and data platforms (e.g., Salesforce, contact centers, data warehouses). - Define API and event-driven integration patterns for both real-time and batch scenarios. - Ensure AI features respect tenant boundaries, roles/permissions, and customer-specific configurations. - Partner with solutions/implementation teams to make deployment repeatable, configurable, and maintainable across institutions. - **5\. Data Intelligence & Analytics** - Collaborate with data engineering to design data models and pipelines that power AI features and insights. - Lead development of models and heuristics for scoring, routing, prioritization, and personalization based on behavioral and conversational signals. - Define and maintain dashboards and KPIs for AI performance, adoption, and business impact. - Drive an experimentation culture with A/B tests, staged rollouts, and data-driven iteration. **6\. Production, Scale & Security** - Ensure all AI services meet enterprise standards for uptime, resiliency, and observability. - Define and enforce best practices for logging, tracing, alerting, and model/service health monitoring. - Work with security and compliance teams to align with data privacy regulations, including encryption, access control, and data retention policies relevant to education. - Implement robust processes for model and configuration versioning, canary deployments, and safe rollbacks. **7\. Leadership & Collaboration** - Lead and mentor AI/ML engineers, data scientists, and AI application engineers. - Collaborate closely with product, platform engineering, implementation, and customer success to ensure AI capabilities deliver real outcomes. - Participate in key customer meetings to understand requirements, shape solutions, and represent EDMO’s AI strategy. - Contribute to hiring, career development, and setting the technical bar for AI roles at EDMO.

₹25 to ₹30

**About Us** EDMO is an AI-powered company that provides enrollment-centric solutions to universities, colleges, and higher education institutions. By streamlining repetitive tasks—such as document verification, transcript evaluation, SOP/essay reviews, and applicant matching—EDMO enables its clients to process student applications faster and more accurately. Its intelligent workflows not only reduce administrative workload but also empower admission advisors to focus on personalized guidance and student engagement. With features like AI-powered chatbots, Photo ID verification, GPA calculator, and transfer credit evaluation, EDMO ensures transparency and efficiency across the enrollment journey. Institutions using EDMO services report significant time savings, improved decision-making, and enhanced student satisfaction. At its core, EDMO is built to reimagine & streamline admissions—making them smarter, quicker, and more human-centric. **Location**: Pune, Maharashtra — Full-time, On-site - Hybird **Key Responsibilities** • Drive technical strategy and architectural decisions — including backend, API design, and system design — for EDMO's product portfolio • Own and evolve backend architecture using Node.js / NestJS and front-end solutions in React or Angular • Define and implement telemetry, observability, and monitoring standards (logging, tracing, alerting) across services • Foster a culture of innovation, continuous learning, and technical excellence • Manage sprint planning, code reviews, and technical delivery timelines • Collaborate closely with product management and design teams • Guide technical hiring and team scaling decisions • Ensure code quality, security, and performance standards • Lead technical discussions with university clients and stakeholders • Drive adoption of best practices, tools, and development methodologies