Scan your resume against ATS criteria for this AI Applications Engineer role at Five9.
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.
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 Five9's internal adoption of AI — turning emerging capability into real business outcomes across the company.
The AI Platform Engineer builds and operates the platform Five9's 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.
Build and operate the AI platform on the cloud — compute, environments, networking, and runtime — and keep it production-grade, secure, and reliable.
Provision and manage infrastructure as code (e.g., Terraform) so environments are reproducible, reviewable, and auditable.
Build and maintain the pipelines — build, test, security gates, deploy — that solution builders and business teams ship through.
Stand up model and agent serving, evaluation, prompt and version management, and the tooling to run LLM- and agent-based systems in production.
Build the secure connectors, data pipelines, and integration surface that AI solutions draw on.
Engineer security, data-classification, and responsible-AI controls into the platform (IAM, secrets, egress, policy-as-code) with InfoSec.
Build shared libraries, templates, and self-service tooling so builders and business teams move fast within guardrails.
Instrument monitoring, logging, cost, and SLOs; own platform reliability and incident response.
Partner with the Automation Engineer, the architect, and business builders so the platform meets real build needs; document and support it.
Bachelor's 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.
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.
The foundation every AI solution runs on — cloud, pipelines, runtime, guardrails, and reusable components.
The Automation Engineer builds solutions and automations ON the platform; this role builds and runs THE platform they build on.
Implements the platform to the technical standards, with Enterprise Architecture, InfoSec, and platform / DevOps.
No direct reports (provides technical leadership on the platform)
This role is hybrid and requires 3 days a week in office.
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: https://www.five9.com/pt-pt/legal
How to apply for AI Applications Engineer at Five9?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
3+ yrs of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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