Staff Platform Engineer, AI Enablement

About the Role

At Zocdoc, we're on a mission to give power to the patient — and that starts with enabling every person at Zocdoc to build, ship, and leverage technology safely, confidently, and with leverage.

As a Staff Platform Engineer focused on AI Enablement, you will design, build, and evolve the foundational systems, tooling, guardrails, and paved roads that create leverage across our engineering organization and beyond. You will own AI enablement for both technical and non-technical stakeholders, building opinionated platforms and safe onramps that allow every builder at Zocdoc to harness AI tools productively and securely.

This role sits within the Infrastructure organization. The role emphasizes hands-on technical leadership (~80%) with meaningful input into platform direction (~20%).

Responsibilities

• Design and build platform services and solutions that are secure, scalable, and intentionally easy to use — including CI/CD pipelines, developer tooling, shared infrastructure patterns, and AI-powered developer workflows.
• Contribute to the technical direction of Zocdoc's internal developer platform, including paved roads, tooling, and shared workflows for both engineering and non-engineering builders.
• Build and maintain opinionated platforms and guardrails that enable non-technical teams to safely create, share, and operationalize AI tools.
• Define and evolve the software development lifecycle for non-traditional builders: access controls, credential management, testing patterns, on-call/support paths, and contribution workflows.
• Collaborate across teams to understand real developer pain points and non-technical stakeholder needs; validate platform bets; and drive adoption of platform capabilities.
• Own and deliver high-impact platform investments end to end — from problem framing through implementation and rollout.
• Improve measurable outcomes such as build times, deployment safety, AI tool adoption rates, and operational simplicity.
• Champion platform-as-product thinking by treating internal engineers and non-technical builders as first-class users.
• Advance platform capabilities in AI-assisted development with guardrails for safety, quality, and testability.
• Work with cutting-edge generative AI tools and technology to accelerate platform development.
• Mentor engineers and technologists across the business and raise the bar for technical design and code quality.
• Ensure platform patterns align with security, compliance, and reliability expectations.

Qualifications

• 7+ years of experience building or evolving internal developer platforms, productivity tooling, or CI/CD systems used by multiple teams.
• Experience designing and operating distributed systems in AWS or similar cloud environments.
• Strong judgment around platform abstractions and APIs — knowing when to standardize and when to stay flexible.
• Ability to break ambiguous problems into deliverable pieces and drive them to measurable outcomes.
• Excellent ability to communicate technical trade-offs to both technical and non-technical audiences.
• Experience (or strong opinions) building guardrails, access controls, and safe onboarding paths for non-engineers using AI tools.
• Track record of integrating generative AI tools into daily workflows to automate tasks and maximize productivity.
• Bachelor's degree in CS, Math, Engineering, or a related field (or equivalent practical experience).