Senior GCP AI/ML Architect

InfiCare Staffing; México; On-site; MXN 900,000 - 1,500,000; Full time

Job summary

InfiCare Staffing is seeking a Senior Cloud Architect to design scalable GCP architectures, lead AI/ML service implementations, and ensure governance, security, and regulatory compliance across cloud initiatives.

You will drive cloud deployment, automation, and optimization, provide architectural guidance, and champion cloud best practices to maximize performance, scalability, and efficiency for complex enterprise environments.

Qualifications

• 9+ years of overall experience in cloud architecture and related technologies.
• Hands-on experience with GCP architecture and design.
• Knowledge of cloud governance, security, and compliance standards.
• Experience with cloud deployment, automation, and optimization.
• Strong architectural decision-making and problem-solving skills.

Responsibilities

• Design and develop scalable and reliable GCP cloud architectures.
• Implement and manage AI/ML services and solutions on Google Cloud Platform.
• Ensure cloud governance, security, compliance, and regulatory standards.
• Lead cloud deployment, automation, and optimization initiatives.
• Provide architectural guidance and recommend cloud best practices.
• Drive cloud architecture improvements to ensure performance, scalability, and efficiency.

Skills

GCP architecture

AI/ML on GCP

Governance & security

Deployment & automation

Architectural decisions

Job description

Key Responsibilities

• Design and develop scalable and reliable GCP cloud architectures.
• Implement and manage AI/ML services and solutions on Google Cloud Platform.
• Ensure cloud governance, security, compliance, and regulatory standards.
• Lead cloud deployment, automation, and optimization initiatives.
• Provide architectural guidance and recommend cloud best practices.
• Drive cloud architecture improvements to ensure performance, scalability, and efficiency.

Required Skills

• Strong experience in Google Cloud Platform (GCP) architecture and design.
• Hands-on experience with AI/ML services on GCP.
• Knowledge of cloud governance, security, and compliance standards.
• Experience with cloud deployment, automation, and optimization.
• Strong architectural decision-making and problem-solving skills.

Experience

• 9+ years of overall experience in cloud architecture and related technologies.