Applied AI Engineer
WFA Digital Insight
The demand for AI engineers with expertise in voice AI and customer-facing technical roles has skyrocketed, with a 25% growth in job postings in the last year. As companies like Zoom continue to push the boundaries of AI adoption, professionals with experience in deploying complex SaaS or AI/ML solutions are in high demand. With the remote work landscape continuing to evolve, this role offers a unique opportunity to work with a leading video communications platform. Before applying, candidates should be prepared to showcase their technical expertise, as well as their ability to communicate complex concepts to both business and engineering stakeholders.
Job Description
About the Role
The Applied AI Engineer role at Zoom is a unique opportunity to deploy production AI agents for strategic customers, taking Zoom Virtual Agent from proof-of-concept to live, trusted daily use within 90 days. As part of the team, you will partner across Sales, Product, and Engineering to prove technical value, working hands-on with voice AI, integrations, and real customer data. Your work will directly accelerate revenue and shape the product roadmap.The team at Zoom is responsible for deploying Zoom Virtual Agent into live customer environments, bridging Sales and Engineering through hands-on technical validation. The goal is to convert pilots into production systems, and as an Applied AI Engineer, you will play a critical role in this process.
In this role, you will have the opportunity to work with a wide range of technologies, including voice AI, integrations, and enterprise systems such as CRMs and telephony platforms. You will be expected to write tests, log failures, and iterate against measurable targets to validate agent performance before go-live.
What You Will Do
- Deploy production AI agents for strategic customers, taking Zoom Virtual Agent from proof-of-concept to live, trusted daily use within 90 days
- Partner across Sales, Product, and Engineering to prove technical value, working hands-on with voice AI, integrations, and real customer data
- Apply voice stack expertise across ASR, TTS, turn-taking, and barge-in, including tuning at least one major provider
- 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 or experience with AI agent platforms
- Contribute to voice agent benchmarks, open-source projects, or have experience deploying in regulated industries
- Collaborate with cross-functional teams to identify and prioritize new features and functionalities
- Participate in design and code reviews to ensure high-quality solutions
What We Are Looking For
- 6+ years of experience in customer-facing technical roles shipping complex SaaS or AI/ML solutions
- Experience deploying LLM-based agents with tool use, multi-step orchestration, and guardrails into production customer environments
- Voice stack expertise across ASR, TTS, turn-taking, and barge-in, including tuning at least one major provider
- Ability to build production integrations in Python with working knowledge of TypeScript or Go
- Experience with enterprise systems such as CRMs and telephony platforms
- Strong understanding of contact centre domain knowledge or experience with AI agent platforms
- Experience contributing to voice agent benchmarks, open-source projects, or deploying in regulated industries
- Excellent communication and collaboration skills
- Ability to work in a fast-paced environment with multiple priorities and deadlines
Nice to Have
- Experience with cloud-based technologies such as AWS or Azure
- Knowledge of machine learning frameworks such as TensorFlow or PyTorch
- Experience with agile development methodologies such as Scrum or Kanban
- Certification in AI or machine learning
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with a leading video communications platform
- Collaborative and dynamic work environment
- Professional development opportunities
- Flexible work arrangements, including remote work options
- Access to cutting-edge technologies and tools
- Recognition and rewards for outstanding performance
- Comprehensive health and wellness programs
- Generous paid time off and holiday schedule
How to Stand Out
- When applying for this role, be sure to highlight your experience with voice AI and customer-facing technical roles, as well as your ability to communicate complex technical concepts to both business and engineering stakeholders.
- Make sure to showcase your proficiency in Python, as well as your working knowledge of TypeScript or Go, and experience with enterprise systems such as CRMs and telephony platforms.
- As you prepare for the interview, be ready to discuss your experience deploying LLM-based agents and your understanding of voice stack expertise across ASR, TTS, turn-taking, and barge-in.
- Consider creating a portfolio that demonstrates your technical skills and experience, and be prepared to walk the interviewer through your projects and accomplishments.
- Don't be afraid to ask questions during the interview, such as what the typical career path is for an Applied AI Engineer at Zoom, or what the biggest challenges are in this role and how you can address them.
- Be prepared to discuss your experience working in a fast-paced environment with multiple priorities and deadlines, and how you handle stress and pressure in the workplace.
- Finally, be sure to research the company culture and values, and be prepared to discuss how you align with them and how you can contribute to the team's success.
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