Staff Forward Deployed Engineer, Technology Lead

Qventus, Inc; United States; Remote; USD 220,000 - 245,000; Full time

Benefits offered by this job

Open paid time off

Parental leave

Professional development funding

Wellness stipend

Equity awards

Job summary

Qventus is seeking a staff-level engineering lead to drive AI-powered operational transformations inside health systems. You will lead a five-person, client-embedded team, partner with internal R&D, and shape conversational AI solutions that measurably improve hospital operations.

You will design, implement bespoke use cases on site, integrate with enterprise systems, and mentor teammates while traveling to client sites as needed.

Qualifications

• Five or more years of experience in product management or solution architect roles with a strong delivery track record.
• Hands-on experience with agentic design, prompt engineering, and prompt architecture.
• Strong coding proficiency.
• Excellent communicator able to influence and collaborate across all levels, including executives.

Responsibilities

• Build deep understanding of client context to identify high-leverage opportunities for AI Operational Assistant workflows.
• Design, execute, and optimize bespoke conversational AI use cases on site at the client.
• Leverage large language models and agentic frameworks to build advanced conversational systems, including state machines, decision trees, and graph-based flows.
• Integrate bots with APIs, CRMs, and enterprise systems through custom scripts and external system connections.
• Continuously tune and improve AI agents using real user data, resolving breakdowns and fallback issues.
• Develop unit, regression, and A/B tests to ensure conversational performance and implement real-time monitoring, analytics, and logging.
• Collaborate with internal architects, engineers, and data scientists as well as client end-users and IT teams to define and refine product requirements.
• Document conversation logic, prompt structures, and decision workflows, and mentor cross-functional teammates.

Skills

Agentic design

Prompt engineering

Coding proficiency

Executive communication

Job description

Role overview

This staff-level, forward-deployed engineering lead drives AI-powered operational transformations inside health systems. The role leads a five-person client-embedded team, partners with internal research and development leaders, and shapes conversational AI solutions that deliver measurable improvements to hospital operations.

Responsibilities

• Build deep understanding of client context to identify high-leverage opportunities for AI Operational Assistant workflows
• Design, execute, and optimize bespoke conversational AI use cases on site at the client
• Leverage large language models and agentic frameworks to build advanced conversational systems, including state machines, decision trees, and graph-based flows
• Integrate bots with APIs, CRMs, and enterprise systems through custom scripts and external system connections
• Continuously tune and improve AI agents using real user data, resolving breakdowns and fallback issues
• Develop unit, regression, and A/B tests to ensure conversational performance and implement real-time monitoring, analytics, and logging
• Collaborate with internal architects, engineers, and data scientists as well as client end-users and IT teams to define and refine product requirements
• Document conversation logic, prompt structures, and decision workflows, and mentor cross-functional teammates

Requirements

• Five or more years of experience in product management or solution architect roles with a strong delivery track record
• Hands-on experience with agentic design, prompt engineering, and prompt architecture
• Strong coding proficiency
• Excellent communicator able to influence and collaborate across all levels, including executives
• Comfortable working in a rapidly changing environment with evolving objectives and iterative user feedback
• Willingness to travel to client sites as needed, expected between 25% and 50%

Nice to have

• Experience with voice-enabled conversational AI systems
• Familiarity with vector databases, embeddings, and retrieval-augmented generation
• Knowledge of knowledge graphs applied 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

Benefits and work setup

• Salary range: $220,000 - $245,000 USD, based on market data and factors including location, skills, and experience
• Open paid time off, paid parental leave, professional development funding, wellness and technology stipends, employee referral bonus, and equity awards