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Qventus

AI-driven platform optimizing care operations

Forward Deployed AI Solutions Architect

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 5 years of experience and a proven track record in product management or solution architect roles.
  • Hands-on experience with agentic design, prompt engineering, and architecture.
  • Demonstrated proficiency in a programming language such as Python, Java, C++, TypeScript, JavaScript, or a similar language.
  • Ability to influence and collaborate across all levels.
  • Ability to troubleshoot complex systems issues independently.
  • Ability to work autonomously and take responsibility in a rapidly changing environment with dynamic objectives and iteration with users.
  • Ability to collaborate effectively with technical and non-technical individuals.
  • Ability to travel to client sites as needed, expected 15–20%.

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.
  • Design, execute, and optimize bespoke AI Operational Assistant use cases at the client.
  • Use large language model-based AI, including GPT, Claude, Gemini, and LLaMA, to build advanced conversational systems.
  • Use agentic frameworks and tools.
  • Apply conversation modeling techniques such as state machines, decision trees, and graph-based flows.
  • Collaborate with backend teams to integrate bots with application programming interfaces, customer relationship management systems, and enterprise systems.
  • Enhance bot functionality with custom scripts, application programming interface calls, and external system integrations.
  • 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.
  • Shape client use cases in partnership with the AI Solution Consultant.
  • Collaborate with Qventus architects, engineers, and data scientists, as well as client end-users and IT teams, to define and refine product requirements.
  • Work with software engineers and data scientists to refine large language model integration and behavior.
  • Document conversation logic, prompt structures, and decision workflows for scalability and maintainability.
  • Mentor and support cross-functional teammates across the forward-deployed client team.

Desired Qualifications

  • Experience with voice-enabled conversational AI systems.
  • Knowledge of vector databases, embeddings, and retrieval-augmented generation.
  • Experience applying knowledge graphs in AI agent workflows.
  • Prior experience building AI agents or automated workflows in healthcare or other regulated industries.
  • Background in healthcare operations, medicine, or healthcare finance.

About the Company

Qventus

AI-driven platform optimizing care operations

Qventus uses AI and ML, combined with behavioral science and data from electronic health records (EHR) and market sources, to automate and optimize care operations in healthcare facilities. Its platform analyzes operational data to provide visibility and guidance that improve resource use, shorten patient stays, raise care quality, and reduce clinicians’ cognitive burden so they can spend more time with patients. It differentiates itself through a strategic partnership approach that pairs technology with centralized operational change and deep EHR integration to drive enterprise-wide improvements. The goal is to reduce variability and waste, ease clinician burnout, and deliver better patient care along with financial value for health systems.

Company size
201-500
Company stage
Debt Financing
Total funding
$216.1M
Headquarters
Mountain View, CA
Founded
2012

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