Director, AI Technologies

OpenLoop Health

About The Position

OpenLoop's mission is to bring care anywhere by powering telehealth solutions at scale. The Director of AI Technologies is a founding leader responsible for building and scaling the organization’s enterprise AI capability. This role owns the AI platform, governance, and delivery of high-impact use cases across the business. Reporting to the VP of Enterprise Technology, this leader operates across strategy and execution—driving roadmap, architecture, and adoption at scale.

Requirements

10+ years in technology roles with 4+ years in a leadership or management capacity
Demonstrated experience building or scaling enterprise AI/ML platforms in production environments
Deep understanding of LLM ecosystems, MLOps practices, vector databases, and AI API architectures
Experience owning AI governance, model risk management, or responsible AI frameworks
Track record of translating business problems into AI product requirements and delivering solutions
Strong executive communication skills — able to present complex AI concepts to non-technical audiences
Experience operating in regulated industries (healthcare, financial services, or similar) preferred but not required

Nice To Haves

Experience in healthcare IT, clinical decision support, or HIPAA-regulated environments
Familiarity with AWS AI/ML services (SageMaker, Bedrock, Amazon Connect AI capabilities)
Experience building teams from the ground up in a new function
Background in workforce management, BPO technology, or contact center AI
Advanced degree in Computer Science, Data Science, or related field — or equivalent experience

Responsibilities

Define and execute the enterprise AI roadmap aligned to business priorities
Identify, prioritize, and deliver high-impact AI use cases with measurable ROI
Represent AI strategy in executive and cross-functional forums
Own the design, deployment, and operation of the enterprise AI platform
Establish scalable, secure, and compliant AI infrastructure (LLMs, MLOps, integrations)
Define standards for model lifecycle management (deployment, monitoring, incident response)
Build and enforce enterprise AI governance, including model risk, compliance, and acceptable use
Lead governance reviews and ensure regulatory alignment (e.g., HIPAA)
Maintain oversight of AI systems, vendors, and usage across the organization
Lead end-to-end delivery of AI solutions across clinical, operational, and corporate functions
Drive adoption and integration into business workflows
Ensure outcomes are tied to efficiency, cost, or performance improvements
Partner across IT, Clinical, HR, Operations, and Data teams
Influence stakeholders and align AI initiatives to enterprise priorities
Build and scale a multidisciplinary AI team
Define roles, structure, and ways of working
Manage budget, tooling, and external resources
Other duties as assigned