Senior AI Engineer – AI Services Platform
About The Position
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. About the team We deliver the AI infrastructure that powers Zoom's intelligent features. Our team collaborates across product and engineering to build robust, scalable services. We exist to transform how people communicate and access information.
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
- Show proficiency in Python, TypeScript, Go, Java, C++, or Rust
- 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)
- Demonstrate experience building or evaluating AI agents and agentic workflows
- Show understanding of prompt engineering, safety mechanisms, and agent evaluation
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.
- Build 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.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
