Applied AI Operations Lead

Vaga não está no LinkedIn

🕒 Setembro 9, 2025

🏄 California – Remoto

🏄 California – Remote

💵 $175.000 - $250.000 / ano

⏰ Tempo Integral

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Canvas Medical

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2016

⚕️ Seguro de Saúde

☁️ SaaS

🤖 Inteligência Artificial

💰 $24.000.000 Series B em 2022-07

Healthcare Insurance • SaaS • Artificial Intelligence

A Canvas Medical é uma empresa que oferece um conjunto de soluções personalizadas de registros médicos eletrônicos (EMR) adaptadas para populações de pacientes específicas, configurações operacionais e modelos de pagamento. Seus produtos incluem EMRs especializados para saúde cardiometabólica, medicina do sono, telemedicina de urgência, cuidados abrangentes para diabetes e mais. A Canvas Medical fornece ferramentas para clínicos e desenvolvedores, incluindo um sandbox para desenvolvedores com suporte, integrações pré-construídas e um Kit de Desenvolvimento de Software (SDK) para criar protocolos baseados em IA para a saúde. Eles também oferecem planos para clínicas, desenvolvedores e empresas, com foco em proporcionar fluxos de trabalho contínuos e plataformas integradas para prática médica. Seus sistemas são projetados para rápido domínio pelos clínicos e incluem recursos para faturamento, agendamento e gerenciamento de registros clínicos com integrações facilitadas pela API FHIR. A Canvas Medical é comprometida em acelerar a prática da medicina através do desenvolvimento de código aberto e colaboração comunitária.

Descrição

• - 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

🎯 Requisitos

• - 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

🏖️ Benefícios

• - Competitive Salary & Equity Package • - Health Insurance (includes option with 100% family coverage) • - 401k • - Paid Maternity/Paternity Leave (12 weeks) • - Flexible/unlimited PTO • - Home Office Stipend