Company: EDMO
Location: Pune
Role Type: Full-time
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.
-
Define and own the end-to-end AI architecture across document, conversational, and data intelligence.
-
Design multi-tenant, cloud-native AI services optimized for performance, cost, and reliability.
-
Establish standards for prompt engineering, tool/agent orchestration, RAG, fine-tuning, evaluation, and monitoring.
-
Translate product requirements into clear technical designs, milestones, and delivery plans.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
6–10 years of experience in software engineering and/or applied ML, with at least 4–5 years focused on building AI products.
-
Proven track record of taking AI solutions (LLM or traditional ML) from PoC to production in a SaaS or enterprise environment.
-
Hands-on experience with:
-
Large language models and orchestration (prompting, tools, agents, RAG).
-
Document understanding (OCR, layout, extraction, classification, semantic search).
-
Conversational AI (chatbots, voicebots, agent assist) with measurable outcomes.
-
Strong programming skills in one or more of: Python, Node.js, Java/Scala (or similar).
-
Experience designing and operating cloud-native services (containers, CI/CD, infrastructure as code).
-
Experience integrating with enterprise systems such as CRMs, telephony platforms, and data platforms.
-
Familiarity with security and compliance considerations in regulated industries (education, healthcare, finance, or similar).
