AI Applications Engineer
Core
Build and operate the cloud platform, infrastructure, and runtime that enables AI solutions and automations to run securely and reliably for the business.
Role type
Senior IC MLOps/LLMOps Platform Engineer
Builds
Cloud environments, delivery pipelines, model/agent runtime, data integration, and reusable platform components
Domain
Cloud Infrastructure, MLOps, LLMOps, Security Engineering
Deliverable
production ML models | infrastructure
Required skills
Cloud platform engineering, Infrastructure as Code (Terraform), Container orchestration (Kubernetes), CI/CD pipeline engineering, MLOps/LLMOps (model serving, evaluation, versioning), Security engineering (IAM, secrets, policy-as-code), Observability and reliability
Preferred skills
Internal developer platform (IDP) experience, Agent/LLM infrastructure design, Contact center technology exposure, Cloud certifications, Responsible AI controls
Technologies
Google Cloud, Terraform, Docker, Kubernetes, LLMs, Agents
Responsibilities
Build and operate production-grade cloud compute, networking, and runtime environments; Provision and manage infrastructure as code; Build and maintain CI/CD delivery pipelines with security gates; Stand up model and agent serving, evaluation, and version management; Build secure data connectors and integration pipelines; Engineer security and governance guardrails (IAM, secrets, policy-as-code); Instrument monitoring, logging, cost, and SLOs; Partner with automation engineers and architects to enable platform usage
Seniority
Senior, hands-on IC
