Senior AI Enablement Engineer

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 in