Job Overview
Qventus is leading the transformation of healthcare operations, enabling hospitals to focus on patient care by using machine learning, generative AI, and behavioral science to deliver great outcomes and empower care teams.
As a Solutions Architect for Conversational AI & Prompt Engineering, you will lead the design, development, and optimization of AI conversational agents and contribute to prompt engineering across other use cases.
Key Responsibilities
1. Conversational Logic & Prototypes
Design and implement AI conversational flow logic for effective, goal-oriented interactions considering disruptions and multiple paths.
Create and manage dialogue state, entity extraction, and intent recognition models.
Build scalable, reusable chatbot logic systems using modular design.
2. Technical Implementation & Development
Use conversation modeling techniques like state machines, decision trees, graph-based models.
Work with LLM-based conversational AIs such as GPT, Claude, Gemini, and LLaMA.
Utilize frameworks like Dialogflow, Rasa, Amazon Lex, Langchain to implement solutions.
Integrate chatbots with databases, CRM systems, and enterprise APIs.
Enhance chatbot capabilities with custom scripts, API calls, and integrations.
Develop and optimize intent classification, slot-filling, and context management.
3. Testing, Optimization, & Maintenance
Improve chatbot intent recognition and responses with ongoing training and tuning.
Analyze user interactions and conversational breakdowns to optimize accuracy.
Conduct unit, regression, and A/B testing for chatbot performance.
Implement real-time monitoring, logging, and analytic tracking of performance and satisfaction.
4. Collaboration & Documentation
Work with product teams to align chatbot functions with business goals.
Collaborate with software developers and data scientists to refine language models.
Document conversational logic, decision trees, and workflows for scalability and maintenance.
Additional desired skills:
Experience with conversational AI voice systems.
Understanding of vector databases, embeddings, and retrieval-based chatbots.
Hands-on with embeddings, vector search, and Retrieval Augmented Generation (RAG).
Knowledge of knowledge graphs in chatbot workflows.
Machine learning techniques for intent recognition and dialogue management.
Experience with chatbot solutions in healthcare.
Compensation and Benefits
The salary range for this role is $120,000 to $200,000, with compensation influenced by factors such as location, skills, qualifications, and experience.
Benefits include Open Paid Time Off, paid parental leave, professional development, wellness and technology stipends, employee referral bonus, and employee stock option awards.
Equal Opportunity and Privacy
Qventus is an equal opportunity employer committed to diversity, equity, inclusion, and belonging. They employ fair hiring practices to reduce unconscious bias and ensure meaningful roles for underrepresented groups.
Candidate data is handled following their privacy notice.
Employment requires successful background and drug tests.