AI Applications Engineer

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software bringing the power of cloud innovation to customers worldwide.

Living our values everyday results in our team-first culture and enables us to innovate grow and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment empowering our employees to be their authentic selves.

AI Applications Engineer

ABOUT THE ROLE

Five9 is a leading provider of cloud contact center software bringing the power of Five9 AI and automation to organizations worldwide. The Enterprise-AI Team drives Five9s internal adoption of AI turning emerging capability into real business outcomes across the company.

The AI Platform Engineer builds and operates the platform Five9s AI solutions run on. Where the AI Automation Engineer builds solutions and automations you build the paved road they build on the cloud environment delivery pipelines model and agent runtime data and integration plumbing security and governance guardrails and the reusable components that let the team and the business ship AI quickly safely and reliably. You keep the platform secure observable and production-grade so every AI solution has a dependable foundation and you stay current on the fast-moving AI infrastructure and tooling landscape.

HOW YOU CONTRIBUTE

• Platform build & operation Build and operate the AI platform on the cloud compute environments networking and runtime and keep it production-grade secure and reliable.
• Infrastructure as code Provision and manage infrastructure as code (e.g. Terraform) so environments are reproducible reviewable and auditable.
• CI/CD & delivery pipelines Build and maintain the pipelines build test security gates deploy that solution builders and business teams ship through.
• Model & agent runtime (MLOps / LLMOps) Stand up model and agent serving evaluation prompt and version management and the tooling to run LLM- and agent-based systems in production.
• Data & integration plumbing Build the secure connectors data pipelines and integration surface that AI solutions draw on.
• Security & governance guardrails Engineer security data-classification and responsible-AI controls into the platform (IAM secrets egress policy-as-code) with InfoSec.
• Reusable components & paved road Build shared libraries templates and self-service tooling so builders and business teams move fast within guardrails.
• Observability & reliability Instrument monitoring logging cost and SLOs; own platform reliability and incident response.
• Enable the builders Partner with the Automation Engineer the architect and business builders so the platform meets real build needs; document and support it.

SKILLS COMPETENCIES & QUALIFICATIONS REQUIRED

• Bachelors degree (or equivalent experience) in Computer Science Engineering or a related field.
• 3 years in platform DevOps infrastructure or MLOps engineering including hands-on operation of production cloud systems.
• Deep hands-on cloud experience (Google Cloud preferred) with infrastructure-as-code (Terraform) and containers / orchestration (Docker Kubernetes).
• Strong CI / CD engineering building delivery pipelines with automated testing and security gates.
• Experience running ML / LLM or data-intensive systems in production (MLOps / LLMOps: serving evaluation versioning agent runtime).
• Solid security-engineering fundamentals (IAM secrets network egress policy-as-code) and building to enterprise governance.
• Observability and reliability practice (monitoring logging SLOs incident response) with a builder-enablement mindset.

SKILLS COMPETENCIES & QUALIFICATIONS PREFERRED

• Experience building an internal developer platform or self-service paved road for other engineers.
• Agent / LLM infrastructure (orchestration retrieval tool integration model gateways).
• Contact center / CX technology exposure (Five9 or comparable).
• Cloud (Google Cloud) or Kubernetes certifications.
• Familiarity with responsible-AI and model-risk controls at the platform level.

WHERE THIS ROLE SITS

• Primary focus: build & operate the AI platform The foundation every AI solution runs on cloud pipelines runtime guardrails and reusable components.
• Distinct from the AI Automation Engineer The Automation Engineer builds solutions and automations ON the platform; this role builds and runs THE platform they build on.
• Partners with the architect & platform / DevOps Implements the platform to the technical standards with Enterprise Architecture InfoSec and platform / DevOps.

KEY RELATIONSHIPS

No direct reports (provides technical leadership on the platform). Key partners: the AI Automation Engineer the solutions architect platform / DevOps information security business builders. You build and operate the platform the whole team and the businesss own builders depend on.

Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds perspectives and skills. The more inclusive we are the better we are. Five9 is an equal opportunity employer.

View our privacy policy including our privacy notice to California residents here: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.