AI Solutions Specialist

Confirmed live in the last 24 hours

Zocdoc

Pune, Maharashtra, India

On-site

Posted March 27, 2026

Job Description

Our Mission

Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the companies delivering such a poor customer experience would not survive. But in healthcare, patients lack market power. Which means they are expected to accept the unacceptable.

Zocdoc’s mission is to give power to the patient. To do that, we’ve built the leading healthcare marketplace that makes it easy to find and book in-person or virtual care in all 50 states, across +200 specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around. In time, this will drive quality up and prices down.

We’re 18 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on.

About the Role

As an Specialist AI Solutions, you’ll help design, build, and maintain AI-powered workflows, prompts, and data pipelines that power Zocdoc’s operations and products. You’ll work closely with product, operations, and engineering partners to execute well-defined AI features, experiments, and automations that improve patient and provider experiences.

This is a hands-on role focused on implementing prompt-based solutions, pipelines, and small automations, while learning to structure problems, evaluate model performance, and operate safely in a healthcare context.

A Day in the Life of an AI Solutions Specialist

Implement prompts, system messages, and basic tool-calling patterns to support specific use cases and workflows.
Contribute to scoped AI features and automations in prompts, and internal tools under guidance from more senior team members.
Sense-check LLM outputs for accuracy, safety, and usefulness, flagging issues and edge cases proactively.
Set up offline evaluations using golden sets or sample data; track basic quality metrics and document results.
Build and maintain lightweight data preparation scripts and queries to support AI experimentation and monitoring.
Support pilots and evaluations by running experiments, comparing variants, and summarizing findings in a clear, digestible way.
Collaborate with product and ops partners to understand requirements, translate them into concrete AI tasks, and execute against agreed timelines.
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