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