GCP / AI Cloud Engineer

Location: United Stated (Remote)

Job Type: [Full-Time / Contract]

Experience: 1–3 years

Clearance: Active U.S. Secret Security Clearance Required

About the Role

We are seeking a GCP AI / Cloud Engineer with hands-on experience in Google Cloud Platform, Infrastructure as Code, and Generative AI technologies. The ideal candidate will have experience building and deploying cloud-based solutions using GCP, Terraform, Vertex AI, RAG, and LLM technologies.

This role is suited for an early-career cloud/AI engineer who can work across cloud infrastructure and emerging AI workloads while following security and compliance requirements.

Key Responsibilities

• Design, deploy, and maintain cloud infrastructure using Google Cloud Platform (GCP).

• Develop and manage infrastructure using Terraform and Infrastructure as Code (IaC) practices.

• Work with GCP-native services to build scalable, reliable, and secure cloud solutions.

• Develop and support AI/ML and Generative AI applications using Vertex AI.

• Build and integrate Retrieval-Augmented Generation (RAG) solutions.

• Work with Large Language Models (LLMs) and contribute to LLM-powered applications and services.

• Assist with cloud architecture, deployment, configuration, monitoring, and troubleshooting.

• Implement cloud security and infrastructure best practices.

• Collaborate with engineering and technical teams to develop and deploy cloud and AI solutions.

• Troubleshoot infrastructure, application, and deployment issues across GCP environments.

• Follow security, compliance, and operational requirements associated with classified environments.

Required Qualifications

• 1-3 years of relevant professional experience in cloud engineering, DevOps, AI/ML engineering, or a related technical field

• Hands-on experience with Google Cloud Platform (GCP)

• Familiarity with Terraform and Infrastructure as Code (IaC)

• Experience with GCP-native cloud services

• Experience with Vertex AI

• Experience with Retrieval-Augmented Generation (RAG) concepts and implementations

• Experience with LLM development or Generative AI applications.

• Active U.S. Secret Security Clearance

• Google Cloud Associate Cloud Engineer certification

• CompTIA Security+ certification required, or the ability and willingness to obtain it within 30 days

Preferred Qualifications

• Experience deploying AI/ML workloads in GCP

• Familiarity with cloud security principles and secure infrastructure practices

• Experience with CI/CD and automated cloud deployments

• Familiarity with containerization and Kubernetes

• Experience working with APIs, Python, or other programming languages used for AI/cloud development

• Experience with vector databases, embeddings, and document retrieval pipelines

• Understanding of IAM, networking, logging, monitoring, and security controls within GCP

Required

• Google Cloud Associate Cloud Engineer certification

• Active U.S. Secret Security Clearance

• CompTIA Security+, or ability to obtain within 30 days

What We're Looking For

We are looking for someone who combines cloud engineering fundamentals with practical Generative AI experience. You should be comfortable working with GCP infrastructure while also understanding how technologies such as Vertex AI, RAG, and LLMs are used to build production-oriented AI solutions.

Candidates must be authorized to work in the United States and must possess an active U.S. Secret Security Clearance.

This is a remote position.