Director, Engineering (AI Patient Engagement Platform)

Overview

Lead the engineering organization building the AI Patient Engagement Agent, an intelligent voice- and messaging-capable agent that handles standardized patient interactions, drives recruitment, manages appointments, and automates prescreening outreach at global scale.

What you'll do

• Build configurable, script-driven conversation engines that can be customized across diverse clinical trials and tailored to distinct patient needs.
• Engineer a resilient task engine that balances patient safe-call windows, local time zones, call-center operational hours, outcome tracking, and adaptive retry policies.
• Own execution of the AI Patient Engagement engineering roadmap, partnering with Product and Design to translate complex trial protocols into intuitive AI interaction workflows.
• Participate in architectural design reviews for real-time voice, messaging, workflow orchestration, and data pipeline engines.
• Balance feature delivery with platform stability, managing team capacity, resource allocation, and technical debt.
• Refine agile ceremonies and CI/CD practices for your team.
• Directly manage, mentor, and grow Engineering Managers and Tech Leads, conduct regular 1-on-1s, build career growth trajectories, and recruit engineering talent.
• Foster an inclusive, high-accountability environment where engineers are empowered, aligned, and motivated by the healthcare impact of their work.
• Serve as the technical point of contact across departments and translate AI, telemetry, and platform concepts into clear operational updates for executive leadership and non-technical partners.

What you'll need

• Minimum education: BA or BS degree from college or university.
• 7+ years of software engineering experience, with at least 3+ years successfully managing engineering teams.
• Proven experience as a "manager of managers," directly leading, coaching, and developing Engineering Managers and Technical Leads.
• Strong background in scalable cloud architecture, event-driven systems, API-first SaaS platforms, or workflow automation engines.
• Demonstrated ability to own and ship complex, data-intensive, or automation-heavy products on time.
• Deep proficiency in Agile/Scrum methodologies, sprint planning, and modern CI/CD practices.
• Active engagement in technical design reviews to guarantee platform durability, security, and scalability.
• Exceptional ability to articulate technical strategies, risks, and trade-offs to non-technical stakeholders and leadership.

Nice to have

• Experience or strong interest in conversational systems, telephony infrastructure (voice/SMS integrations), or AI/automation workflows.
• Prior experience working within HealthTech, Biotech, Clinical Trials, or Life Sciences (or another highly regulated domain with strict data privacy requirements).

Details

• Location: Hybrid within the United States; work is performed in a remote office environment.
• Occasional planned travel may be required.
• Physical demands include use of keyboards and other computer equipment.
• Expected pay range: $180,000 - $230,000 USD per year for full-time team members.
• Care Access is unable to sponsor work visas at this time.