Sr. AI Lead

EDMO; Maharashtra; Presencial; INR 3.500.000 - 5.500.000; Jornada completa

Descripción de la vacante

EDMO in Pune, India is seeking a Senior AI Lead to own and scale our AI stack across document, conversational, 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.

Formación

• 6–10 years of experience in software engineering and/or applied ML, with 4–5 years in AI products.
• Proven track record of taking AI solutions from PoC to production in SaaS or enterprise.
• Hands-on with LLMs, orchestration, OCR, conversational AI, and related tooling.

Responsabilidades

• Define and own end-to-end AI architecture across document, conversational, and data intelligence.
• Design multi-tenant, cloud-native AI services optimized for performance and reliability.
• Lead the design of document understanding pipelines including OCR, extraction, and summarization.
• Own production-grade chat and voice assistants across web, mobile, and telephony.
• Architect integrations with customer systems (CRMs, data platforms) and ensure secure deployments.

Conocimientos

Large language models & orchestration

Document understanding

Conversational AI

Python

Node.js

Java/Scala

Cloud-native services

CI/CD

Infrastructure as code

CRM integrations

Descripción del empleo

Senior AI Lead – Document, Conversational & Data Intelligence

Company: EDMO

Location: Pune

Role Type: Full-time

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

• AI Strategy & Architecture
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Required Experience

• 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).