Staff Forward Deployed Engineer, Technology Lead
Qventus
- Location
- Remote, United States
- Work model
- Remote
- Level
- Staff
- Salary
- $220k/yr
- Posted
- 1h ago
Skills
About this role
On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise.
Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. #LI-MB1
Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations.
About the Role
We’re looking for an experienced forward-deployed Staff Forward Deployed Engineer, Technology Lead to join our AI Platform Partnership team. In this role, you will lead a five-person team forward-deployed to a client site. In this role, you’ll apply problem solving ability, creativity, and technical skills to drive AI-powered operational transformations at health systems. You’ll partner cross-functionally with Qventus R&D leadership as well as embed with client operational, executive, and IT teams to shape solutions that deliver measurable value.
This is a high-impact role that will influence our AI Operational Assistant platform, strengthen customer outcomes, and shape our company’s growth trajectory.
Key Responsibilities
• Develop a deep understanding of client context and Qventus capabilities to identify high-leverage opportunities for rapid impact with bespoke AI Operational Assistant workflows
• Responsible for the design, execution, and optimization of bespoke AI Operational Assistant use cases at the client
• Technical Implementation
• Leverage LLM-based AI (GPT, Claude, Gemini, LLaMA, etc.) to build advanced conversational systems.
• Use agentic frameworks and tools
• Apply conversation modeling techniques like state machines, decision trees, and graph-based flows.
• Collaborate with backend teams to integrate bots with APIs, CRMs, and enterprise systems.
• Enhance bot functionality with custom scripts, API calls, and external system integrations.
• Optimization, Testing & Maintenance
• Continuously tune and improve AI agents using real user data.
• Monitor and resolve agent breakdowns, mismatches, and fallback issues.
• Develop and run unit, regression, and A/B tests to ensure