Senior AI Engineer - AI Services Platform

About the role

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.

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.
• Apply deep understanding of software architecture, observability, and performance optimization.
• 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

• Show proficiency in Python, TypeScript, Go, Java, C++, or Rust.
• Show understanding of prompt engineering, safety mechanisms, and agent evaluation.

Skills

• Experience with LLMs, embeddings / vector databases, and AI infrastructure.
• Experience with distributed systems and backend engineering.
• Experience with cloud infrastructure (AWS, GCP, or Azure) and Kubernetes.
• Experience with software architecture, observability, and performance optimization.
• Experience with Python, TypeScript, Go, Java, C++, or Rust.

Benefits

• Comprehensive benefits package including health insurance, retirement plans, and paid time off.
• Flexible work arrangements to support work-life balance.
• Opportunities to contribute to the community through volunteer programs.

Pay

USD 151,800-332,200 / year + Equity

Schedule

Full-time