AI Applications Engineer

Posted 10 Hours Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Cloud • Software
The Role
Build and operate Five9's AI platform: provision cloud infrastructure, CI/CD pipelines, model/agent runtimes, data integrations, security and governance guardrails, observability, and reusable developer tooling to enable safe, reliable AI solutions in production.
Summary Generated by Built In

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 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.

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

  • 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.

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 business's 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: https://www.five9.com/pt-pt/legal.  

Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.

Skills Required

  • Bachelor's degree (or equivalent experience) in Computer Science, Engineering, or related field.
  • 3+ years in platform, DevOps, infrastructure, or MLOps engineering with 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 experience building delivery pipelines with automated testing and security gates.
  • Experience running ML/LLM or data-intensive systems in production (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 engineers.
  • Experience with 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.

Five9 Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Five9 and has not been reviewed or approved by Five9.

  • Healthcare Strength Employer-paid employee premiums, multiple plan options, and broad coverage across medical, dental, vision, disability, FSAs, and EAP are emphasized as core elements of the package. These features position healthcare as a standout component of total rewards.
  • Equity Value & Accessibility Equity grants and an ESPP are highlighted as meaningful parts of total compensation. Feedback suggests these stock components can materially enhance overall pay when company performance is favorable.
  • Fair & Transparent Compensation Public job postings include salary ranges and company materials describe formal peer benchmarking of pay. These practices indicate structure and visibility around compensation decisions.

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The Company
HQ: San Ramon, California
2,427 Employees
Year Founded: 2001

What We Do

Five9 is an industry-leading provider of cloud contact center solutions, bringing the power of cloud innovation to more than 2,000 customers worldwide and facilitating billions of customer engagements annually. The Five9 Intelligent Cloud Contact Center provides digital engagement, analytics, workflow automation, workforce optimization, and practical AI to help customers reimagine their customer experience. Designed to be reliable, secure, compliant, and scalable, the Five9 platform helps increase agent and supervisor productivity, connects the contact center to the business, and ultimately deliver tangible business results including increased revenue and enhanced customer trust and loyalty

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