AI Enablement Engineer

At Counterpart Health, we are transforming healthcare and improving patient care with our innovative primary care tool, Counterpart Assistant. By supporting Primary Care Physicians (PCPs), we are able to deliver improved outcomes to our patients at a lower cost through early diagnosis and longitudinal care management of chronic conditions.

We are seeking an AI Enablement Engineer to join our team. In this role, you will evaluate, configure, and deploy AI-powered tools that make our operations, product, support, implementations, sales, and other teams faster and more effective. You will work closely across the organization to identify high-leverage opportunities for AI tooling, from coding assistants and workflow automation to internal copilots and productivity tools, and make them work reliably and securely in our environment.

This is a hands-on role at the intersection of IT infrastructure and AI enablement. The tools exist, the hard part is getting them deployed securely in a HIPAA-compliant healthcare organization, with proper authentication flows, and a setup that the whole team can actually use. You will serve as the go-to resource for AI tooling across the product organization, staying current on the rapidly evolving landscape and translating new capabilities into practical, secure workflows.

As an AI Enablement Engineer, you will:

• Evaluate and bring on new AI tools and platforms, assessing fit for the team's workflows, managing setup and configuration, and driving adoption across the product organization.
• Solve the IT and security challenges required to deploy AI tools in a healthcare environment, setting up authentication flows, managing access patterns, and ensuring compliance with organizational security standards.
• Lower the barrier to entry for non-engineers to leverage AI tools by packaging environments, simplifying setup, and removing infrastructure friction that blocks adoption.
• Collaborate across the business—including product, engineering, design, IT, operations, commercial, and leadership teams—to identify workflows that can be accelerated with existing AI capabilities and get those tools running for the team.
• Create documentation, guides, and training materials that make it easy for non-technical team members to adopt and get value from new tools.
• Troubleshoot and maintain the AI tooling stack, diagnosing issues independently and iterating on configurations based on team feedback.

Success in this role looks like:

• You ship tools that people actually use. The team's daily workflows visibly improve because of tooling you've introduced and enabled.
• You become the person the team come