AI Architect & Infrastructure (Cloud Solution), AI4ALL

Key Responsibilities

• Define and maintain cloud architecture for AI4ALL platforms and applications.
• Design secure, scalable, highly available, and cost-efficient infrastructure for AI solutions on GCP.
• Support hybrid and cross-cloud integration with other cloud platforms when needed.
• Establish reusable cloud patterns, standards, and reference architectures.
• Define and govern Infrastructure as Code practices, preferably using Terraform.
• Build CI/CD pipelines and GitHub Actions workflows for development teams.
• Implement automated testing, code-quality checks, security scanning, and deployment automation.
• Work with cybersecurity teams on IAM, networking, secrets management, compliance, and cloud governance.
• Design infrastructure supporting AI, data, and generative-AI workloads.
• Define standards for monitoring, logging, resilience, disaster recovery, and cost optimization.
• Lead architecture reviews, mentor engineers, and collaborate with cross-functional Agile teams.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 9+ years of experience in cloud engineering, infrastructure, DevOps, platform engineering, or solution architecture.
• Strong hands-on experience with Google Cloud Platform.
• Experience working with hybrid or cross-cloud environments, such as AWS or Microsoft Azure.
• Hands-on experience working with agentic frameworks and AI orchestration tools (e.g., LangGraph, Google GenAI SDK/Agent Builder, Google ADK, AutoGen) to deploy autonomous AI agents
• Strong experience with Infrastructure as Code, preferably Terraform.
• Experience building CI/CD pipelines and GitHub Actions workflows.
• Knowledge of automated testing, code quality, security scanning, and deployment automation.
• Strong knowledge of cloud networking, IAM, security, observability, and cost management.
• Experience with Docker, Kubernetes, GKE, or Cloud Run.
• Strong leadership, communication, mentoring, and stakeholder-management skills.
• Ability to work effectively in Agile and cross-functional teams.

Preferred Qualifications

• Google Cloud Professional Cloud Architect certification.
• Experience with GCP landing zones, Shared VPC, organization policies, and multi-project governance.
• Familiarity with Vertex AI, GitOps, policy as code, SRE, FinOps, or OpenTelemetry.
• Experience in automotive, industrial, or regulated environments.