AI Applications Engineer

Five9; Chennai District; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Five9 is seeking an AI Applications Engineer to build and operate the AI platform that powers its AI and automation solutions. You will manage cloud infrastructure, pipelines, and governance to keep the platform secure and production-grade.

Collaborate with AI Automation Engineers, architects, and InfoSec to deliver reliable, scalable, and observable platforms across the enterprise, including MLOps and data integration components.

Qualifications

• BS/BE in Computer Science or related field.
• 3+ years in platform, DevOps, or MLOps engineering with production cloud systems.
• Deep hands-on cloud experience (Google Cloud preferred) with Terraform and containers.
• Strong CI/CD engineering with automation and security gates.
• Experience running ML/LLM or data-intensive systems in production.

Responsibilities

• Build and operate the AI platform on cloud compute, environments, and runtime.
• Provision and manage infrastructure as code (Terraform).
• Build and maintain CI/CD pipelines with tests and security gates.
• Stand up model and agent serving, evaluation, and version management.
• Build secure data connectors and integration surface for AI solutions.
• Engineer security governance and policy-as-code with InfoSec.
• Create shared libraries and self-service tooling to accelerate teams.
• Instrument observability, monitoring, cost, and SLOs; ensure reliability.
• Collaborate with architects and business builders to meet build needs.

Skills

Cloud experience

MLOps / LLMOps

Terraform

Docker

Kubernetes

CI/CD

Security engineering

Observability

Platform enablement

Education

Bachelor's degree in Computer Science or related

Tools

Terraform

Docker

Kubernetes

Google Cloud

Job description

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.