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 :

1. LLM orchestration (agents, tools, workflows)

2. Retrieval-Augmented Generation (RAG)

3. Fine-tuning and model selection strategies

4. 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 :

1. OCR and layout intelligence

2. Entity extraction, classification, validation

3. Knowledge ingestion and semantic search

4. 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 :

1. Guardrails and hallucination mitigation

2. Policy enforcement and compliance

3. 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 :

1. Configurable and repeatable across customers

2. 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 :

1. Logging, monitoring, alerting, and tracing

2. Model/version lifecycle management

3. 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 :

1. Understand complex requirements

2. Shape AI-driven solutions

3. 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 :

1. LLMs, RAG, agents, and AI system orchestration

2. Document intelligence (OCR, extraction, classification, semantic search)

3. Conversational AI (chatbots, voicebots, agent assist systems)

- Strong system design and architecture skills for distributed, cloud-native systems.

- Experience integrating with enterprise platforms (CRMs, telephony, data systems).

- Strong understanding of AI evaluation, reliability, and governance frameworks.

- Familiarity with security, privacy, and compliance in regulated environments.

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.