Senior AI Enablement Engineer

Senior 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 Senior 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 embedded with the teams that run our business. The tools and technology exist — the hard part is sitting with people, understanding their workflows, and getting the right solutions into their hands. Sometimes that means configuring an off-the-shelf product, sometimes it means writing a little code or wiring up an MCP server. 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 workflows.

As a Senior 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.
• Lower the barrier to entry for non-engineers to leverage AI tools by packaging environments, simplifying setup, and removing infrastructure friction that blocks adoption.
• 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.
• 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 the tooling you've introduced and enabled.
• You become the person the team comes to when they want to know 'is there an AI tool for this?' — and you can get it running securely and quickly.
• You reduce friction in tool adoption. New AI capabilities go from 'interesting demo' to 'the team uses this every day' because you handle the infrastructure, security, and onboarding.
• You proactively identify opportunities. You don't wait to be asked — you see a workflow that could be faster, find the right tool, and make it available.
• You manage your own work independently, communicating progress and surfacing blockers early without needing regular direction.
• You build trust across teams by delivering reliable, well-documented, and secure tooling setups and being responsive to feedback.

You should get in touch if:

• You are automating everything you touch with AI today. We don't care if you're in engineering, product, IT, or anything else. We care that you are building daily and fast.
• You are deeply familiar with the current AI tooling landscape, LLMs, coding assistants, automation platforms, API integrations, and how to wire them together to solve real problems.
• You have experience deploying tools in a regulated environment (healthcare, finance, or similar) and understand security, authentication, and compliance considerations.
• You are comfortable with ambiguity and can run with a loosely defined idea, figuring out what's needed and delivering a working solution.
• You build for adoption, knowing that a tool is only useful if people actually use it, and you invest in documentation, training, and support to make that happen.