Key Responsibilities

GCP & AI Architecture

• Define and continuously evolve GCP architecture standards and patterns for AI capabilities.
• Design scalable, secure, and highly governed cloud architectures for AI and Generative AI solutions.
• Contribute to the conceptualization, development, and deployment of AI solutions for employees.
• Act as a technical reference for strategic AI decisions within the GCP ecosystem.
• Evaluate emerging GCP and AI capabilities and determine their applicability to enterprise environments.

Vertex AI & Generative AI

• Design and support solutions based on Vertex AI and Google Cloud's Generative AI capabilities.
• Define architecture patterns for enterprise AI workloads.
• Establish best practices for deploying and managing AI capabilities at scale.
• Contribute to AI agent ecosystems, connectors, and related services.
• Support the evolution of enterprise AI capabilities aligned with the organization's strategic objectives.

Governance, Security & Automation

• Define governance models for AI capabilities at scale, particularly around Vertex AI and Gemini.
• Establish best practices covering:
  • Security
  • Governance
  • Automation
  • Infrastructure management
  • AI platform usage
• Help ensure AI solutions comply with enterprise architecture and security standards.
• Promote standardized and reusable architecture patterns across GCP environments.

Infrastructure as Code

• Design, implement, and maintain Infrastructure as Code (IaC) solutions using Terraform.
• Develop reusable infrastructure patterns and automation.
• Support the deployment and lifecycle management of GCP infrastructure.
• Promote automation and consistency across cloud environments.

Technical Leadership

• Serve as a technical advisor and reference point for GCP and AI architecture decisions.
• Collaborate with cloud, security, data, AI, infrastructure, and business teams.
• Participate in architectural discussions and strategic technology decisions.
• Work effectively within multidisciplinary teams.
• Help establish technical standards and best practices for enterprise AI adoption.

Required Skills & Experience

• 3+ years of professional experience in Cloud Engineering, Cloud Architecture, or a related technical role.
• Strong technical expertise in Google Cloud Platform (GCP).
• Solid understanding of cloud architecture and enterprise cloud environments.
• Hands-on knowledge of Vertex AI.
• Understanding of Generative AI capabilities within Google Cloud.
• Strong ability to define architecture standards, patterns, and best practices.
• Proven experience designing and maintaining Infrastructure as Code using Terraform.
• Strong understanding of cloud security, governance, and automation.
• Ability to collaborate effectively with multidisciplinary technical teams.

Nice to Have

• Functional and technical understanding of Gemini Enterprise.
• Experience with the Gemini Enterprise ecosystem, including agents and connectors.
• Knowledge of integration with Google Workspace.
• Experience designing GCP landing zones.
• Experience working with complex and heterogeneous enterprise environments.
• Understanding of enterprise AI governance and operating models.
• Experience with large-scale cloud transformation or Cloud Center of Excellence initiatives.