Role Overview

EDMO is seeking a Head of AI to define, build, and scale the company’s end-to-end AI strategy across document intelligence, conversational intelligence, and data intelligence.

This is a foundational leadership role responsible for transforming AI from a set of capabilities into a core competitive advantage for EDMO. You will drive the vision, architecture, and execution of AI systems that power mission-critical workflows for universities and institutions.

You will partner closely with executive leadership, lead and grow a high-caliber AI team, and ensure all AI initiatives are production-grade, enterprise-ready, and aligned with business outcomes.

Key Responsibilities

AI Vision, Strategy & Leadership

• Define and own EDMO’s AI vision, roadmap, and long-term strategy across all product lines
• Identify high-impact opportunities where AI can drive revenue growth, efficiency, and differentiation
• Act as the thought leader and internal evangelist for AI across the organization
• Build, lead, and mentor a high-performing AI/ML team, setting technical and cultural standards
• Partner with leadership on build vs buy decisions, investments, and AI roadmap prioritization

Platform Architecture & Scalability

• Own the design of a unified, scalable AI platform spanning document, conversational, and data intelligence
• Architect multi-tenant, cloud-native systems optimized for scale, cost, performance, and reliability
• Establish best practices for:
• LLM orchestration (agents, tools, workflows)
• Retrieval-Augmented Generation (RAG)
• Fine-tuning and model selection strategies
• Evaluation, monitoring, and observability
• Drive standardization to ensure reusability and consistency across AI capabilities

Document Intelligence (Enterprise Scale)

• Define the strategy and architecture for document understanding at scale
• Oversee systems for:
• OCR and layout intelligence
• Entity extraction, classification, validation
• Knowledge ingestion and semantic search
• Ensure high accuracy and robustness across diverse document types (transcripts, financial docs,
• policies, etc.)
• Establish evaluation frameworks, benchmarks, and continuous improvement loops

Conversational & Agentic AI

• Own the vision and architecture for AI-powered conversational experiences across chat and voice
• Lead development of agentic systems combining LLMs, APIs, memory, and workflows
• Ensure production readiness with:
• Guardrails and hallucination mitigation
• Policy enforcement and compliance
• Scalable conversation orchestration
• Define and track metrics such as containment, resolution rate, CSAT, and business impact

Data Intelligence & Decision Systems

• Drive the development of data-driven intelligence layers powering personalization, scoring, and automation
• Partner with data engineering to build robust data pipelines and feature stores
• Define key business and AI metrics; establish dashboards and executive reporting frameworks
• Lead experimentation strategy with A/B testing, staged rollouts, and continuous optimization

Enterprise Integrations & Customer Deployments

• Define scalable patterns for integrating with CRMs, SIS, telephony systems, and data platforms
• Ensure AI capabilities are:
• Configurable and repeatable across customers
• Secure, compliant, and tenant-aware
• Work closely with implementation and customer success teams to ensure successful deployments and adoption

Production Excellence, Security & Compliance

• Ensure all AI systems meet enterprise-grade standards for uptime, resilience, and observability
• Establish practices for:
• Logging, monitoring, alerting, and tracing
• Model/version lifecycle management
• Safe deployments (canary releases, rollback mechanisms)
• Partner with security teams to ensure compliance with data privacy and regulatory standards

Stakeholder & Customer Leadership

• Engage directly with key customers to:
• Understand complex requirements
• Shape AI-driven solutions
• Represent EDMO’s AI capabilities and vision
• Collaborate cross-functionally with product, engineering, sales, and leadership to align AI with business goals

Required Qualifications

• 10+ years of experience in software engineering, machine learning, or applied AI
• 5+ years in leadership roles, building and managing high-performing AI/ML teams
• Proven track record of scaling AI systems from concept to enterprise-grade production
• Deep hands-on experience with:

What We’re Looking For

• A builder-leader who can operate from 0→1 and 1→N scale
• Strong product intuition with ability to connect AI capabilities to real business outcomes
• Ability to balance hands-on technical depth with strategic leadership
• Excellent communication skills to engage both technical and non-technical stakeholders