Director, Forward Deployed Engineering

Transform healthcare with us. At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change. This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board. Join us in shaping the future of healthcare. Job Summary: Qualified Health is seeking a Director of Forward Deployed Engineering to own the end-to-end data relationship with some of the largest health systems in the country. In this fast-paced, high-ownership role, you will lead a pod of Healthcare AI Solutions Engineers—forward-deployed consultants who design, build, and operate the data infrastructure powering our AI-driven clinical and operational workflows. Your pipelines don’t just move data—they directly enable AI systems that help clinicians make better decisions for their patients. As the leader of this team, you are accountable for delivery quality, partner satisfaction, and the professional growth of every engineer in your pod. You’ll leverage AI-assisted development practices to drive speed and quality, [... source excerpt omitted ...] trust quickly and adapt across complex partner environments. You take ownership, think critically, and solve problems independently—while empowering your team to do the same. Key Responsibilities Own the end-to-end data integration for 2–4 health system partners—from initial onboarding through live production operations—with full accountability for delivery timelines and partner satisfaction Lead a pod of 2–3 Forward Deployed Engineers, mentoring and developing forward-deployed consultants while delivering against tight partner timelines (initial rollout target: <90 days from kickoff) Serve as the primary technical relationship owner for your partners’ data and IT teams—running or [... source excerpt omitted ...] leverage AI-assisted development tooling to accelerate delivery and improve quality Collaborate with the Product, AI Engineering and Data Science teams to scope new workflow data requirements, support product prototyping initiatives, and ensure pipeline outputs support backtesting, production inference, and evaluation Drive continuous improvement of integration patterns, tooling, and technical standards—building reusable components that accelerate future deployments and raise the quality bar across the team Required Qualifications: 7+ years as a data engineer or engineering leader, with experience building production data pipelines, leading technical teams, and owning client rela