AI Automation Workflow Specialist

Matter Health delivers primary and preventive healthcare directly to older adults living in public housing communities. Our mission is simple: to improve healthcare access by meeting patients where they are and building trusted relationships within the communities we serve. We are rapidly expanding and are seeking mission-driven professionals who thrive in fast-paced, people-centered environments.

We Lead with Love in Everything We Do.

Matter Health is seeking a hands-on, mission-driven AI Automation Workflow Specialist to join our Information Technology team. This individual contributor role is responsible for building and deploying AI-assisted workflow automations that support our operations, clinical, care support, and field-based teams, helping them spend less time on repetitive tasks and more time on the patients and work that matter most.

Working directly with business and clinical stakeholders, you will identify day-to-day workflow opportunities, configure and deploy automations using Matter Health's established AI tools and platform, and support adoption across the organization. This is a building and operational role, not a platform architecture or people management position.

This role is ideal for someone who learns new AI tools quickly, enjoys partnering with non-technical teams to solve real problems, and is excited about applying emerging AI capabilities in service of a genuine mission. This position reports to the Chief Technology Officer. This is a fully remote role with up to 10% travel for occasional in-person meetings or team offsites.

• Partner with clinical, care support, operations, and field-based teams to understand day-to-day workflows, pain points, and opportunities for AI-driven automation
• Gather requirements from stakeholders with varying levels of technical fluency and translate real operational problems into automation ideas that can be built and tested quickly
• Collect structured and informal feedback from clinicians, care support agents, operations staff, and field-based teams to guide ongoing iteration of deployed automations
• Submit identified opportunities into the team's intake process and collaborate with the AI Platform Engineer and requesting-team leadership to define priorities
• Use approved AI tools, agent platforms, and automation software to configure, build, and deploy workflow automations and AI-assisted processes for operations, clinical, care support, and field-based teams
• Write and refine prompts and configure workflow logic within existing platform tooling, templates, and standards to automate repetitive day-to-day tasks
• Test and refine deployed automations with real users, iterating based on usage feedback and observed performance
• Monitor day-to-day performance of deployed automations and
  ** escalate
  * * issues related to accuracy, reliability, or unexpected behavior to the AI Platform Engineer or Engineering team
• Follow established platform standards, prompt and context templates, and controls when building and deploying automations, including those handling protected health information (PHI)
• Create documentation, training materials, and enablement content to support successful adoption of new AI-driven workflows
• Maintain a library of deployed automations, prompts, and workflow configurations to support consistency, reuse, and knowledge sharing across the organization
• Support change management and adoption efforts as new automations are rolled out across operational teams
• Partner with the AI Platform Engineer and stakeholders to evaluate when a deployed automation is ready to expand, refine, or retire

• Associate's or Bachelor's degree, or equivalent practical experience
• 1-3 years of experience in business operations, process improvement, workflow automation, or a related operational role
• Hands-on experience using AI tools, chatbots, or no-code/low-code automation platforms to build or configure workflows
• Strong ability to gather requirements from business and clinical stakeholders with varying levels of technical fluency
• Comfortable working within established technical standards, prompt and context templates, and controls without needing to design underlying platform architecture
• Experience documenting workflows and automation configurations clearly for both technical and non-technical audiences
• Basic understanding of responsible AI practices and safe handling of sensitive data, including protected health information…