Zoom Logo

Zoom

Senior AI Engineer - Agentic Workflow

Posted Yesterday
Be an Early Applicant
In-Office
San Jose, CA, USA
152K-332K Annually
Senior level
In-Office
San Jose, CA, USA
152K-332K Annually
Senior level
Design and build LLM-powered autonomous agents and orchestrators, develop prompt engineering frameworks, implement safety and oversight, optimize model infrastructure for low latency/high throughput, and create testing and evaluation pipelines for reliable agent behavior.
The summary above was generated by AI

What you can expect

We're seeking an experienced AI Engineer specialized in agent orchestrator design and implementation, agent workflow, and LLM evaluation metrics and pipeline design. You'll be instrumental in developing and deploying intelligent agent systems that can understand context, orchestrate multi-step processes, automate complex workflows, and execute tasks autonomously across Zoom. Your expertise will help us create agents that streamline operations, reduce manual intervention, and optimize end-to-end business processes through intelligent automation.

About the Team

The Agentic Workflow Automation team is committed to revolutionizing productivity by streamlining complex workflows, automating routine tasks, and making decisions with great speed and clarity. We are passionate about leveraging cutting-edge technology to drive significant advancements in how people communicate and collaborate.

Responsibilities

  • Designing and implementing agent architectures that can reason about tasks, plan actions, and execute solutions

  • Developing prompt engineering frameworks and techniques for reliable agent behavior

  • Implementing safety mechanisms and oversight protocols for autonomous systems

  • Building and maintaining LLM-powered services using models like GPT-4, Claude, and internal models

  • Optimizing model infrastructure for low latency and high throughput

  • Building robust testing frameworks for agent behavior validation

What we’re looking for

  • Possess a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science, or a related field.

  • Have 6+ years of experience in AI/ML engineering

  • Exhibit expertise in microservice design and implementation

  • Have experience with production agent systems

  • Demonstrate programming skills in Python or Java, with deep learning frameworks (PyTorch, Transformers, LangChain)

  • Have experience with cloud infrastructure stack (Kubernetes, Docker, AWS)

Salary Range or On Target Earnings:

Minimum:

$151,800.00

Maximum:

$332,200.00

In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.

Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.

We also have a location based compensation structure;  there may be a different range for candidates in this and other locations.

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.

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. Click Learn for more information.

About Us
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. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.

Our Commitment​

At Zoom, we believe great work happens when people feel supported and empowered. 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.

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.

If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application – take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.

Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.

HQ

Zoom San Jose, California, USA Office

55 Almaden Blvd, San Jose, CA, United States, 95113

Similar Jobs

23 Minutes Ago
Remote or Hybrid
United States
85K-143K Annually
Senior level
85K-143K Annually
Senior level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Lead day-to-day operations for Short Term Disability and FML claims, managing 60-80 specialists and 4-6 unit managers. Drive operational metrics, quality, service, process and technology improvements, change management, cross-functional partnerships, and full people management including hiring, performance, and development.
23 Minutes Ago
Remote or Hybrid
United States
78K-104K Annually
Expert/Leader
78K-104K Annually
Expert/Leader
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Serve as Product Owner for disability reporting and claims migrations to the Catalyst platform. Define requirements, create features/user stories, manage multiple customer migrations, coordinate cross-functional teams, support testing and validation, identify risks, and ensure successful implementation and post-migration outcomes and stakeholder sign-off.
Top Skills: CatalystCognosExcelFineosPower BI
An Hour Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
Senior level
Senior level
Cloud • Mobile • Software
Lead end-to-end delivery of complex enterprise SaaS implementations: define scope, timelines, governance; manage stakeholders and cross-functional teams; maintain timelines, risk logs, and change control in Salesforce; drive on-time go-lives, customer satisfaction, and handoff to Customer Success while improving implementation processes.
Top Skills: CRMSalesforce

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account