B1 - AI Platform Engineer - Agentic AI

Job summary

The Senior AI Platform Engineer builds, operates, and scales secure, reliable cloud infrastructure for AI/ML and generative AI workloads on Google Cloud Platform. The role develops CI/CD and MLOps pipelines, provisions infrastructure with Terraform, orchestrates services using Docker and Kubernetes (GKE), and establishes monitoring, logging, and incident response practices to move models from experimentation into production.

Benefits

Qualifications

• At least 7 years of platform engineering, DevOps, or infrastructure engineering experience
• Hands-on GCP experience with Vertex AI, GKE, Cloud Run, IAM, VPC networking, and BigQuery
• Experience designing and managing CI/CD pipelines with tools such as Cloud Build, Jenkins, GitHub Actions, GitLab CI, or ArgoCD
• Proficiency with Infrastructure as Code, preferably Terraform
• Scripting or programming skills in Python, Bash, or Go
• Experience with Docker and Kubernetes
• Understanding of MLOps and the machine learning lifecycle
• Experience with observability tools such as Cloud Monitoring, Prometheus, Grafana, or ELK/EFK
• Understanding of cloud security, IAM, and secrets management
• Experience supporting generative AI or LLM platforms
• Experience with GitOps workflows such as ArgoCD or Flux
• Background in regulated or enterprise-scale environments
• Familiarity with GCP cost optimization and FinOps

Responsibilities

• Design, build, and maintain scalable GCP infrastructure for AI/ML and application workloads
• Architect and manage CI/CD pipelines for model training, deployment, and application releases
• Build and maintain MLOps pipelines for model versioning, training, deployment, and monitoring
• Provision repeatable, auditable environments using Infrastructure as Code
• Containerize and orchestrate services with Docker and Kubernetes on GKE
• Establish observability, logging, and alerting for AI/ML services
• Partner with AI/ML engineers and data scientists to productionize models
• Manage platform security, IAM policies, secrets, and compliance
• Automate build, test, deployment, and rollback processes
• Troubleshoot infrastructure issues and resolve production incidents

Skills

Certifications

Industry

Contract length

Relocation