Forward Deployed AI Solutions Architect

Join our AI Platform Partnership team as a Staff Forward Deployed Engineer, Technology Lead. In this high-impact role, you will lead a five-person team deployed to a client site, driving AI-powered operational transformations in health systems. You will collaborate cross-functionally with Qventus R&D leadership and embed with client operational, executive, and IT teams to shape solutions that deliver measurable value. Your responsibilities will include the design, execution, and optimization of bespoke AI Operational Assistant use cases, technical implementation, optimization, testing, maintenance, collaboration, and documentation.

• Lead a five-person team in driving AI-powered operational transformations at health systems, collaborating with cross-functional teams to shape solutions that deliver measurable value.
• Design, execute, and optimize bespoke AI Operational Assistant use cases at the client, leveraging LLM-based AI to build advanced conversational systems.
• Continuously tune and improve AI agents using real user data, monitor and resolve agent breakdowns, and implement real-time monitoring, analytics, and logging to drive performance insights.

• Strong coder with demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar
• High customer empathy and passion for real-world impact and solving meaningful problems
• 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
• 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
• A go-to expert on emerging LLM technologies
• Hands-on experience with with agentic design and prompt engineering + architecture
• Ability to work with a high level of autonomy and responsibility in a rapidly changing environment with dynamic objectives and iteration with users
• Self-starter, confident in troubleshooting complex systems issues independently
• Experience with voice-enabled conversational AI systems
• Knowledge of vector databases, embeddings, and RAG (Retrieval Augmented Generation)
• Prior experience building AI agents / automated workflows in healthcare or other regulated industries
• Experience applying knowledge graphs in AI agent workflows
• Background in healthcare operations, medicine, and/or healthcare finance