Staff Forward Deployed Engineer, Technology Lead - Qventus

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.

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. 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

• Opportunity Identification: Develop a deep understanding of client context and Qventus capabilities to identify high-leverage opportunities for rapid impact with bespoke AI Operational Assistant workflows.
• Solution Design: 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 conversational performance.
  • Implement real-time monitoring, analytics, and logging to drive performance insights.
• Collaboration & Documentation:
  • Shape client use cases in partnership with the AI Solution Consultant.
  • Collaborate closely with Qventus architects, engineers, and data scientists, as well as client end-users and IT teams to define and refine product requirements.
  • Work closely with software engineers and data scientists to refine LLM integration and behavior.
  • Document conversation logic, prompt structures, and decision workflows for scalability and maintainability.
• Mentorship: Mentor and support cross-functional teammates across the forward-deployed client team.

What We’re Looking For

• 5+ years of experience and a proven track record in product management or solution architect roles.
• Strong communicator with the ability to influence and collaborate across all levels.
• Hands-on experience with agentic design and prompt engineering + architecture.
• Strong coder with demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar.
• A go-to expert on emerging LLM technologies.
• High customer empathy and passion for real-world impact and solving meaningful problems.
• Self-starter, confident in troubleshooting complex systems issues independently.
• Ability to work with a high level of autonomy and responsibility in a rapidly changing environment with dynamic objectives and iteration with users.
• Demonstrated ability to collaborate effectively in teams of technical and non-technical individuals.
• Ability to travel as needed to client sites (expected 25-50%).

Bonus Points For

• Experience with voice-enabled conversational AI systems.
• Knowledge of vector databases, embeddings, and RAG (Retrieval Augmented Generation).
• Experience applying knowledge graphs in AI agent workflows.
• Prior experience building AI agents / automated workflows in healthcare or other regulated industries.
• Background in healthcare operations, medicine, and/or healthcare finance.