Qventus Senior Technical Implementation Partner at Qventus leading a five-person team to drive AI-powered operational transformations at health systems. Responsible for designing, executing, and optimizing bespoke AI Operational Assistant workflows.
Responsibilities
We’re looking for an experienced forward-deployed Forward Deployed AI Solutions Architect 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.
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.
Qualification
Self-starterKnowledge of vector databasesBackground in healthcare operations
Required
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 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 15 - 20%)
Preferred
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
