Applied AI Operations Lead
Canvas MedicalSan Francisco, CA / RemotePosted 27 March 2026
Job Description
Applied AI Operations Lead
Company Overview
Canvas Medical is accelerating everyday medicine with an EMR platform built for healthcare automation. We create modern, elegant front- and back-end tooling to enable new ways for developers and clinicians to integrate data, automate workflows, and collaborate to solve healthcare's toughest challenges. In doing so we advance our mission to give care teams superpowers with software.
Canvas is institutionally backed by some of the greatest technology investors in the world (funded notable health tech companies such as GoodRx, Oscar Health, and Hims & Hers Health).
The Role
We're hiring an Applied AI Operations Lead to join our GTM Operations team and drive successful deployment, adoption, and governance of AI agents across our customer base. This role serves as the critical bridge between our Applied AI engineering team and the healthcare organizations implementing Canvas's state-of-the-art AI capabilities to transform their clinical and operational workflows.
You'll be the hands-on expert who partners directly with customers to deploy and manage AI agents built with foundation model APIs and our server-side SDK, ensuring they deliver measurable value in real-world healthcare settings. This means working closely with clinical, operational, and financial stakeholders to understand their unique workflows, configure agents for optimal performance, and operate robust governance frameworks that build trust in AI-powered automation.
This role is ideal for someone who combines technical depth in LLM-based systems with exceptional customer-facing skills and a passion for healthcare transformation. You'll translate complex AI capabilities into compelling value stories, guide customers through change management, and create repeatable playbooks that accelerate AI adoption across the Canvas customer base. Your work will directly impact how thousands of care teams leverage AI to deliver better patient outcomes while reducing administrative burden.
You'll collaborate with our Applied AI engineering team to inform product development based on field insights, work with customer success to ensure smooth implementations, and partner with technical marketing to showcase the transformative impact of AI agents in Canvas. As AI becomes central to healthcare delivery, you'll be at the forefront of this revolution, helping our customers realize the full potential of healthcare automation.
What You'll Do
Customer Deployment & Implementation
- 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
Governance & Trust Building
- 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
Technical Excellence & Innovation
- 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 gove ... (truncated, view full listing at source)
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