Senior AI Engineer – AI Services Platform

Responsibilities

• Design and implement the AI Services Platform architecture, including core infrastructure for context intelligence, agent orchestration, and RAG pipelines.
• Develop a distributed systems infrastructure for high-throughput, low-latency AI service orchestration across multi-region deployments.
• Create observability, monitoring, and safety systems to ensure reliable, predictable AI service behavior at scale.
• Create evaluation and benchmarking frameworks for assessing AI service quality, latency, accuracy, and cost efficiency.
• Collaborate with product and infrastructure teams to define APIs, service contracts, and integration patterns for AI Services adoption.
• Stay current with advances in LLMs, embeddings / vector databases, and AI infrastructure to continuously improve platform capabilities.

Requirements

• Demonstrate 3+ years of hands-on experience in AI/ML engineering.
• Demonstrate 5+ years of experience in distributed systems and backend engineering at scale.
• Apply expertise with cloud infrastructure (AWS, GCP, or Azure) and Kubernetes.
• Show proficiency in Python, TypeScript, Go, Java, C++, or Rust.
• Hold Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field (or equivalent practical experience).
• Show experience building or evaluating AI agents and agentic workflows.
• Show understanding of prompt engineering, safety mechanisms, and agent evaluation.

Qualifications

• Minimum Salary Range or On Target Earnings: $151,800.00 - $332,200.00
• Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
• Location based compensation structure; there may be a different range for candidates in this and other locations.

Benefits

As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.

About Us

We're looking for an experienced AI Engineer passionate about building the foundational AI Services Platform that powers Zoom's intelligent capabilities. You'll work at the intersection of LLM intelligence, distributed systems, and platform engineering, designing and implementing core AI infrastructure including context layer intelligence, AI agents, RAG (Retrieval-Augmented Generation), and search quality evaluation systems. Your work will directly shape Zoom's AI future, building scalable, reliable services that enable intelligent features across the entire Zoom ecosystem.

Ways of Working

Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.

Pay & Schedule

Minimum Salary Range or On Target Earnings: $151,800.00 - $332,200.00

Schedule

Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind.

About Us

We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we're here to support you at every step.

Equal Opportunity Employer

We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.