Salary
💰 $175,000 - $250,000 per year
About the role
- - Partner directly with healthcare organizations to deploy and configure AI agents for clinical documentation, scheduling, billing, communications, and workflow automation
- - Conduct workflow assessments to identify high-impact automation opportunities and design agent implementations that deliver measurable ROI
- - Configure and optimize agent performance using prompt engineering, context management, and tool selection based on specific customer requirements
- - Create and maintain customer-specific evaluation frameworks that demonstrate agent effectiveness and build stakeholder confidence
- - Maintain AI governance frameworks that ensure safe, reliable agent operations in production healthcare environments
- - Design and implement monitoring systems for agent performance, including accuracy tracking, drift detection, and quality assurance protocols
- - Partner with clinical and compliance teams to ensure deployed agents meet regulatory requirements and operational standards
- - Develop and deliver training programs that enable care teams to effectively collaborate with AI agents
- - Work hands-on with foundation model APIs (OpenAI, Claude, Gemini) and the Canvas SDK to troubleshoot and optimize agent behavior
- - Collaborate with Applied AI engineering to translate field insights into product improvements and new capabilitiesBuild and maintain a library of best practices, implementation templates, and governance playbooks that accelerate customer success
- - Stay current with advances in LLM technology and healthcare AI applications to guide strategic customer conversations
- - Serve as the trusted AI advisor for Canvas customers, helping them navigate the transformation to AI-powered healthcare operations
- - Drive executive conversations about AI strategy, demonstrating how Canvas's platform capabilities enable competitive advantage
- - Create compelling narratives around AI impact using customer success stories, performance metrics, and ROI analyses
- - Partner with sales teams on strategic opportunities, providing technical expertise and vision for AI transformation
Requirements
- - 5+ years in technical customer-facing roles (solutions engineering, technical consulting, customer success engineering)
- - Demonstrated experience deploying and managing LLM-based applications in production environments
- - Track record of driving successful enterprise technology implementations with measurable business outcomes
- - Strong project management skills with ability to juggle multiple customer engagements simultaneously
- - Hands-on experience with products offered from foundation model providers (OpenAI, Anthropic, Google) and AI tools for low-code automation, with understanding of their capabilities and limitations
- - Understanding of AI safety, alignment, and governance principles
- - Experience with evaluation frameworks, A/B testing, and performance monitoring for AI systems
- - Learned experience with the edges and limitations of AI products, and understanding of the iterative process required to get high quality results
- - Healthcare technology experience required, with ability to give workflow advice and construct automations that meet the needs of healthcare users
- - Understanding of clinical workflows, EMR systems, and healthcare operations a plus
- - Familiarity with HIPAA, clinical documentation standards, and healthcare compliance considerations
- - Ability to quickly develop domain expertise and speak credibly with clinical stakeholders
- - Comfort with ambiguity and ability to define structure in undefined spaces
- - Exceptional written and verbal communication skills with ability to create compelling technical content
- - Strong analytical and problem-solving abilities with data-driven approach to decision making
- - Experience creating and delivering technical training to diverse audiences