Applied AI Operations Lead (Remote - California)
This position is posted by Jobgether on behalf of Canvas Medical. We are currently looking for an Applied AI Operations Lead in California (USA).
We are seeking an experienced Applied AI Operations Lead to drive the deployment, adoption, and governance of AI agents across healthcare organizations. In this role, you will serve as the bridge between AI engineering teams and clinical users, ensuring that AI solutions deliver measurable value in real-world healthcare workflows. You will work hands-on with foundation model APIs and internal SDKs, translating complex AI capabilities into actionable, operational outcomes. This position requires a blend of technical depth, project management, and consultative engagement skills to optimize AI performance and build stakeholder trust. You will create repeatable playbooks, contribute to strategic customer partnerships, and influence product development based on field insights. Your work will directly impact the efficiency of care teams while supporting better patient outcomes.
Accountabilities
- Deploy, configure, and optimize AI agents for clinical, operational, and financial workflows.
- Conduct workflow assessments and design AI implementations that deliver measurable ROI.
- Establish and maintain AI governance frameworks, including monitoring, accuracy tracking, and quality assurance.
- Partner with clinical, operational, and compliance teams to ensure safe and compliant agent operations.
- Develop and deliver training programs and technical documentation for end users and stakeholders.
- Collaborate with AI engineering teams to inform product improvements and new capabilities.
- Serve as a trusted advisor to customers, guiding AI strategy and demonstrating the value of AI adoption.
- Create case studies, performance metrics, and ROI analyses to accelerate adoption and support executive decision-making.
- 5+ years in technical customer-facing roles (solutions engineering, technical consulting, customer success engineering).
- Hands-on experience deploying and managing LLM-based applications in production.
- Strong project management skills, capable of managing multiple customer engagements simultaneously.
- Technical expertise with foundation model APIs (OpenAI, Anthropic, Google) and low-code automation tools.
- Knowledge of AI safety, alignment, governance, and performance monitoring frameworks.
- Healthcare technology experience, with familiarity of clinical workflows, EMR systems, and compliance standards (HIPAA).
- Excellent communication skills, capable of translating complex AI concepts into business value for diverse audiences.
- Strong analytical, problem-solving, and consultative engagement skills.
- Ability to work in a fast-paced, dynamic, and mostly remote environment with minimal supervision.
- Competitive salary: $175,000–$250,000 plus equity package.
- Health insurance, including 100% family coverage option.
- 401k retirement plan.
- Paid maternity/paternity leave (12 weeks).
- Flexible or unlimited paid time off.
- Home office stipend.
- Opportunity to work remotely while collaborating with a high-performing distributed team.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
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