This position is no longer available
Head of Engineering, Decision Support
remote•United States
Summary
This position is no longer available
This job listing has been removed by the employer and is no longer accepting applications.
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About the Role
We are seeking a Head of Engineering, Decision Support to lead the productization of ML/LLM models in mission-critical healthcare contexts. This role will own the design and delivery of decision support systems that are reliable, explainable, and trusted by clinicians. You will build and scale a team focused on inference pipelines, observability, and safety while ensuring measurable improvements in throughput, latency, and quality. As a technical leader, you will work cross-functionally with leadership, compliance, and integration teams to ensure our AI-driven decision support delivers real-world clinical impact.
Key Responsibilities
Lead the productization of ML/LLM-powered decision support systems with strict quality, safety, and latency benchmarks.
Build and scale engineering teams with a strong observability and reliability culture.
Design and launch inference pipelines with fallbacks, caching, A/B evaluation, and rollback capabilities.
Collaborate with clinicians, compliance experts, and cross-functional leaders to ensure interpretability, auditability, and clinical trust in deployed systems.
Drive innovation in agentic workflows (e.g., recommendations, triage, treatment support) that balance automation with safety.
Hard Requirements
Proven leadership in shipping ML/LLM systems with measurable quality, latency, and reliability outcomes.
Deep experience in decision support contexts, including agentic or recommendation systems.
Expertise building production-grade inference pipelines with safety, caching, and evaluation frameworks.
Exceptional communicator able to align technical and clinical stakeholders.
Team builder with a track record of establishing observability-first engineering practices.
Nice-to-Have
Familiarity with healthcare data standards (FHIR, HL7) and clinical reasoning patterns.
Experience working with EHR integrations and compliance-sensitive systems.
Background in explainable AI, interpretability, or audit trails for clinician-facing tools.
First-Month Focus
Audit existing decision support infrastructure and identify reliability/latency bottlenecks.
Establish engineering standards for observability, fallbacks, and A/B evaluation pipelines.
Partner with the EHR Integrations team on upcoming FHIR-driven workflows (Q4 2025).
Success OKRs (90 Days)
Launch and monitor production inference pipelines with measurable improvements in latency and throughput.
Deliver first decision support use case with clinical interpretability and audit features enabled.
Hire and onboard core engineering talent to scale decision support initiatives.
Culture Fit
Persistent, driven problem solver
Willing to push back on leadership to defend quality/timelines
Thrives in high-ambiguity, fast-paced startup environments
What you'll do
- Lead the productization of ML/LLM-powered decision support systems with strict quality, safety, and latency benchmarks.
- Build and scale engineering teams with a strong observability and reliability culture.
- Design and launch inference pipelines with fallbacks, caching, A/B evaluation, and rollback capabilities.
- Collaborate with clinicians, compliance experts, and cross-functional leaders to ensure interpretability, auditability, and clinical trust in deployed systems.
- Drive innovation in agentic workflows (e.g., recommendations, triage, treatment support) that balance automation with safety.
About Sully.ai
About Sully.aiOur mission is "One Human, One Doctor". We are creating superhuman doctors, because access to doctors is a basic human right. Start with making doctors superhuman. Our vision is to eliminate doctor distractions and help them navigate the best treatments for their patients.About Us👏 Team from OpenAI, DeepMind, NASA, GoogleX, Tesla, and 2 physicians: 6 exits, 2 IPOs. 🔥 Our model outperforms Claude, Gemini, and GPT-4.5 on clinical benchmarks. 📈 400+ healthcare orgs signed in 16 months. ⚡️ $25M raised from YC, Amity Ventures, Sequoia scouts, and more. 🌎 $1T+ market opportunity. We’re going after all of it.Why Join Sully.ai ?🔥 Shape the Future of Healthcare: Build category-defining partnerships that enable doctors to focus on saving lives.📈 Early-Stage Impact: Join early and play a critical role in shaping our partnership roadmap and overall company growth.🌎 Remote-First Culture: Work with a talented, mission-driven team in a flexible, remote environment.💰 Competitive Compensation: Enjoy a competitive salary, equity, and the opportunity to make a real difference.🏆 Solve Scalability Challenges: Tackle complex challenges in a rapidly growing company, driving impactful change in healthcare.
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Frequently Asked Questions
What does a Head of Engineering, Decision Support do at Sully.ai?
As a Head of Engineering, Decision Support at Sully.ai, you will: lead the productization of ML/LLM-powered decision support systems with strict quality, safety, and latency benchmarks.; build and scale engineering teams with a strong observability and reliability culture.; design and launch inference pipelines with fallbacks, caching, A/B evaluation, and rollback capabilities.; and more.
Is the Head of Engineering, Decision Support position at Sully.ai remote?
Yes! The Head of Engineering, Decision Support position at Sully.ai is a remote role, with team members based in United States, United States. Apply through Clera to learn more about their remote work policies.
How do I apply for the Head of Engineering, Decision Support position at Sully.ai?
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