AI Operations Lead

OnMed•White Plains, NY

4d•$130,000 - $150,000•Hybrid

About The Position

At OnMed, our purpose is to improve the quality of life and sense of well-being in our communities by bringing access to healthcare to everyone, everywhere. Our innovative CareStation, a small but mighty, Clinic-in-a-Box, brings healthcare access anywhere with an outlet to plug it in. Poised to become a key component in America’s public health infrastructure, the OnMed CareStation is the only tech-enabled, AI-powered, human-delivered, hybrid care solution that combines the comprehensive experience, trust and outcomes of a clinic, with the rapid scalability of virtual care. Every role, every day, is directly impacting the communities we serve. You’ll join a high-performing purpose-driven team, innovating to break down the barriers that keep people from the care they need. This is not just a job...it's a movement to bring access to healthcare where and when people need it most. It’s healthcare that shows up.

Requirements

Hands-on experience building or managing AI agents in a live production environment.
Working knowledge of enterprise operations across finance, legal, people ops, and growth.
Systems thinking, applied to multi-tier automation and escalation design.
Ability to translate technical agent behavior into plain language for non-technical stakeholders.
Ability to teach and upskill non-technical staff on new AI tools and workflows, translating technical capability into practical, everyday use.
Bachelor's degree in a related field (business, computer science, engineering, or operations).
5+ years in business operations, technical operations, or a builder-type role, including direct, hands-on experience designing, deploying, or managing AI agents/automation in a live production environment.
Experience working cross-functionally across at least two business functions: finance, legal, people ops, or growth — enough to understand how those functions operate, even without deep domain expertise.
Track record owning a system or process end-to-end, including uptime, accuracy and/or performance metrics — not just recommending changes but being accountable for outcomes.

Nice To Haves

You've built or managed AI agents in a live production environment, not a pilot.
You know how to find the repetitive, manual work hiding inside a team's day-to-day and turn it into a tested, reliable workflow — writing the prompts, running the pilots, and training the people who'll use it, without introducing security risk.
You understand enterprise operations broadly, even where you're not the subject-matter expert.
You think in systems: a two-tier agent architecture is the obvious answer to you, not a complex one.
You continuously find unnecessary complexity, and you proactively look for a simple solution.
You can explain what an agent is doing, and why, to someone who has never touched a prompt.

Responsibilities

Design, deploy, and integrate business operations agents across OnMed's functional areas, with the leaders who own each process.
Own uptime, accuracy, and performance across the full fleet. Set the standard for “correct” in each function and hold every agent to it.
Make the case, inside OnMed and out, for what agent-driven operations make possible. Bring functional leaders into the build, not around them.
Treat every agent as a draft. Refine prompts, workflows, and escalation rules weekly, based on the supervisory tier surfaces.
Simplify the process before you automate it. Never automate complexity that shouldn't exist.
Track and report cost-per-function before and after automation. Cost reduction is a stated outcome, not a side effect.
Own the dashboard and reporting layer that makes fleet performance visible to leadership on a regular cadence, not on request.
Work with Engineering to ensure infrastructure is ready, and partner with the team on knowledge management and optimization opportunities.