Staff Forward Deployed Engineer, Technology Lead

Qventus

53d•$220,000 - $245,000•Onsite

About The Position

Qventus is seeking an experienced Staff Forward Deployed Engineer, Technology Lead to join their AI Platform Partnership team. This role involves leading a five-person team deployed to a client site, focusing on driving AI-powered operational transformations within health systems. The position requires a blend of problem-solving, creativity, and technical expertise to shape solutions that deliver measurable value. The role will influence the AI Operational Assistant platform, enhance customer outcomes, and contribute to the company's growth. The ideal candidate will partner cross-functionally with Qventus R&D leadership and embed with client operational, executive, and IT teams.

Requirements

5+ years of experience and 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, and comfortable working in a rapidly changing environment with dynamic objectives and iteration with users.
Ability to travel as needed to client sites (expected 25-50%).

Nice To Haves

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.

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 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.
Mentor and support cross-functional teammates across forward-deployed client team.