Forward-Deployed AI Solution Architect, Qventus

• 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 25-50%)

Desirable

• We’re looking for an experienced forward-deployed AI Solution Architect to join our AI Platform Partnership team
• In this role, you will work as part of 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
• You'll 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
• Leverage LLM-based AI (GPT, Claude, Gemini, LLaMA, etc.) to build advanced conversational systems
• Apply conversation modeling techniques like state machines, decision trees, and graph-based flows
• Use frameworks such as Dialogflow, Rasa, Amazon Lex, Langchain, or similar tools
• 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
• Continuously tune and improve intent recognition and response quality using real user data
• Monitor and resolve conversation 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
• 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