Solutions Architect, Qventus
Conversational AI & Prompt Engineering
$140-200k
+ Stock Options
AI-powered healthcare operations
Job no longer available
AI-powered healthcare operations
101-200 employees
Job no longer available
$140-200k
+ Stock Options
101-200 employees
Company mission
To simplify how healthcare operates, so that it works for everyone.
Role
Who you are
- Experience with voice-enabled conversational AI systems
- Knowledge of vector databases, embeddings, and RAG (Retrieval Augmented Generation)
- Experience applying knowledge graphs in chatbot workflows
- Familiarity with ML techniques for intent classification and dialog management
- Prior experience building chatbots in healthcare or other regulated industries
What the job involves
- We’re looking for a Solutions Architect, Conversational AI & Prompt Engineering to lead the design and optimization of intelligent, scalable, and modular chatbot systems
- You’ll own the end-to-end architecture of conversational flows and collaborate across data science, engineering, and product teams to build high-quality conversational AI experiences
- This role blends deep technical expertise in prompt engineering, LLM integration, and conversational design, with strong system thinking and collaboration skills
- You’ll also help structure prompt logic across broader AI-driven product experiences
- Design and implement dynamic AI conversation flows that handle multi-turn interactions, interruptions, and alternate pathways
- Build and manage systems for dialogue state, intent recognition, and entity extraction
- Architect reusable, scalable chatbot logic using a modular design approach
- 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
- Partner with product teams to align conversational UX with user and business goals
- 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
Our take
The pressure on US hospitals is increasing due to rising costs of care and pharmaceuticals, in addition to increasing expectancy of high-quality services at lower prices. Vast bodies of medical data sets can be used to help ease bottlenecks in these overworked systems, but processing this data into actionable insights is a laborious and time-consuming task.
Qventus improves the operational efficiency of hospitals and medical centers by using AI to interpret raw medical data into actionable data for staff. The data produced helps teams anticipate bottlenecks and resolve problems before they occur. Qventus claims this forward-thinking approach helps decrease the length of stay of patients, increase morning discharge rates, and overall improve cash flow margins.
Many healthcare SaaS startups have aims to use AI to interpret medical data, but Qventus’ approach to identifying bottlenecks within a health system is particularly beneficial. The software uses machine learning to drive its AI, meaning that with every problem identified and prevented, the system will become smarter. Funding raised by the company will be used to support the development of new solutions and innovations, as well as continue its expansion to additional hospitals and health systems.
Steph
Company Specialist at Welcome to the Jungle
Insights
6% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Jan 2025
$85m
SERIES D
Aug 2022
$3m
LATE VC
Total funding: $196m
Company benefits
- Stock options
- Comprehensive health benefits with 90% of the cost covered for employees
- Paid parental leave for all new parents
- Generous HSA contribution
- Paid disability and life insurance
- Participation in a 401(k)
- Wellness + Tech stipends
- Education and professional development reimbursement
Company HQ
Mountain View, CA
Leadership
Mudit Garg
(CEO)After 2 years as a McKinsey Consultant and an MBA at Stanford, they co-founded Qventus in August 2012. They have served as CEO since then.
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