Applied AI Engineers
Zoom · United States
- Hybrid
- Full-time
- $140,000 / year
- United States
Job highlights
- Deploy AI agents for key customers.
- Collaborate with Sales, Product, Engineering.
- Integrate AI with CRM and telephony systems.
- Engineer voice experiences and tune performance.
- Translate field insights to platform capabilities.
About the role
About The Role
Collaborate cross-functionally to deploy production AI agents for strategic customers within 90 days, accelerating revenue and directly shaping our scalable product roadmap. Partner across Sales, Product, and Engineering to prove technical value, working hands-on with voice AI, integrations, and real customer data.
Turn field insights into platform capabilities that scale, ensuring every deployment makes the next one faster. Your work directly accelerates revenue and shapes the product roadmap.
About The Team
We deploy Zoom Virtual Agent into live customer environments. Our team bridges Sales and Engineering through hands-on technical validation. We exist to convert pilots into production systems.
Responsibilities
- Designing and deploying production-ready AI agents during proof-of-concept engagements, integrating with customer CRMs, telephony systems, and knowledge bases using Python and TypeScript.
- Engineering voice experiences by tuning speech synthesis, turn-taking, and barge-in across providers to match customer requirements and call profiles.
- Building evaluation frameworks with scripted tasks and adversarial scenarios that measure resolution rate, containment, and customer satisfaction as deployment gates.
- Capturing product gaps and contributing structured feedback to Engineering, generalising field solutions into reusable platform capabilities.
- Transitioning successful pilots to Professional Services or partners with clear documentation, playbooks, and recommendations for ongoing operation.
What We’re Looking For
- Demonstrate 4+ years in customer-facing technical roles shipping complex SaaS or AI/ML solutions (Solutions Engineering, Technical Account Management, or similar).
- Deploy LLM-based agents with tool use, multi-step orchestration, and guardrails into production customer environments.
- Apply voice stack expertise across ASR, TTS, turn-taking, and barge-in, including tuning at least one major provider (ElevenLabs, Azure, Cartesia, or similar).
- Build production integrations in Python with working knowledge of TypeScript or Go, connecting enterprise systems such as CRMs and telephony platforms.
- Write tests, log failures, and iterate against measurable targets to validate agent performance before go-live.
- Communicate technical concepts to business and engineering stakeholders with clarity and confidence.
- Bring contact centre domain knowledge (Genesys, Five9, NICE, Zoom Contact Center) or experience with AI agent platforms (Decagon, Sierra, or similar).
- Contribute to voice agent benchmarks, open-source projects, or have experience deploying in regulated industries (healthcare, financial services, telecom).
Key skills/competency
- AI Agent Deployment
- LLM Integration
- Python Development
- TypeScript Development
- Voice AI Tuning
- SaaS Solutions
- Cloud Platforms
- Contact Center Technology
- Machine Learning Engineering
- Customer Facing Roles
Skills & topics
- Applied AI Engineer
- AI
- Machine Learning
- Python
- TypeScript
- SaaS
- Voice AI
- LLM
- Integrations
- Customer Facing
How to get hired
- Tailor your resume: Highlight experience with AI/ML solutions, Python, TypeScript, and voice AI.
- Showcase customer-facing skills: Emphasize your experience in complex SaaS deployments and stakeholder communication.
- Demonstrate LLM expertise: Detail your work with LLM agents, tool use, and production environments.
- Prepare for technical questions: Be ready to discuss voice stack technologies (ASR, TTS) and integration patterns.
- Understand Zoom's mission: Align your application with Zoom's commitment to connection and collaboration.
Technical preparation
Practice Python and TypeScript for integrations.,Build sample LLM agents with tool use.,Tune ASR/TTS for voice experience.,Develop test cases for agent validation.
Behavioral questions
Describe a complex SaaS deployment.,How do you handle technical stakeholder communication?,Share an experience turning insights into solutions.,How do you approach debugging AI agent issues?
Frequently asked questions
- What are the key responsibilities for an Applied AI Engineer at Zoom?
- As an Applied AI Engineer at Zoom, you will design and deploy production-ready AI agents, integrate them with customer systems like CRMs and telephony, engineer voice experiences, build evaluation frameworks, and contribute to product capabilities. You'll also transition successful pilots to professional services.
- What technical skills are essential for this Applied AI Engineer role at Zoom?
- Essential technical skills include proficiency in Python and TypeScript for building integrations, experience deploying LLM-based agents with tool use, and expertise in voice AI technologies such as ASR and TTS. Knowledge of enterprise systems and contact center domain knowledge is also highly valued.
- How does Zoom approach hybrid work for Applied AI Engineers?
- Zoom utilizes a structured hybrid approach, balancing office and remote work. The specific work style (Hybrid, Remote, or In-Person) for this role is indicated in the job posting, allowing flexibility within a defined framework.
- What is Zoom's philosophy on Total Direct Compensation for this role?
- Zoom's Total Direct Compensation philosophy includes base salary, bonus, and equity value, ensuring a comprehensive package beyond just base pay. Specifics will vary based on qualifications, experience, and location-based compensation structures.
- How can I demonstrate my experience with LLM agents for the Applied AI Engineer role at Zoom?
- To showcase your LLM experience, highlight projects where you've deployed agents with tool use, multi-step orchestration, and guardrails in production environments. Quantify the impact and complexity of these deployments on your resume and during the interview.
- What kind of customer-facing experience is Zoom looking for in an Applied AI Engineer?
- Zoom seeks candidates with over 4 years in customer-facing technical roles, such as Solutions Engineering or Technical Account Management, who have successfully shipped complex SaaS or AI/ML solutions. This includes proving technical value and communicating effectively with stakeholders.
- How does Zoom support employees with accommodations during the hiring process?
- Zoom is committed to fair hiring and provides accommodations for candidates needing assistance due to a medical disability. You can submit an Accommodations Request Form for support during the hiring or interview process.
Similar roles
Open positions we recommend based on this role.