Director, AI Technologies

🕒 May 27

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Logo of OpenLoop

OpenLoop

201 - 500 employees

Founded 2020

☁️ SaaS

🤝 B2B

🏢 Enterprise

💰 $15M Series A - OpenLoop Health on 2023-03

SaaS • B2B • Enterprise

OpenLoop is a white-label telehealth platform and managed services provider that helps organizations launch and scale virtual care programs. It combines SaaS-based, brandable technology (scheduling, booking, payments, EHR/API integrations) with clinical staffing, credentialing, payer coverage and RCM, regulatory/legal support, and 24/7 patient support. OpenLoop serves health plans, hospitals and health systems, retailers, employers and digital health companies with AI-powered operations, a nationwide clinician network and broad insurance coverage including Medicare and Medicaid.

📋 Description

• 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

🎯 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 • Experience in healthcare IT, clinical decision support, or HIPAA-regulated environments preferred • 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

🏖️ Benefits

• Medical, Dental, and Vision plans • Flexible Spending/Health Savings Accounts • Flexible PTO • 401(k) + Company Match • Life Insurance, Pet insurance, and more

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