Interesting Job Opportunity: Architect - Google Cloud Platform

Mandatory Skill : Exp in GCP Architects role with Data Science exposure.

Job Title : GCP Architect with AI Expertise

About The Role

We are looking for a GCP Architect with AI Expertise to lead the design, implementation, and optimization of cloud and AI-driven solutions on Google Cloud

Platform (GCP). This role requires deep expertise in cloud infrastructure, AI/ML, networking, and security.

You will be responsible for architecting scalable, secure, and highly available cloud solutions while leveraging AI to drive automation and intelligence across enterprise environments.

If you have a passion for cloud transformation, AI, and solving complex infrastructure challenges, this is the perfect opportunity for you.

Key Responsibilities

Cloud & AI Solution Architecture :

• Design and implement scalable, secure, and cost-effective architectures on GCP.
• Develop AI/ML-driven solutions using Vertex AI, BigQuery ML, TensorFlow, and AutoML.
• Architect end-to-end data pipelines to support AI model training, deployment, and monitoring.
• Build high-availability, backup, and disaster recovery solutions in GCP.
  
  

Infrastructure & Security

• Implement identity management, IAM policies, security protocols, and network segmentation.
• Design and automate provisioning of networks, firewalls, ACLs, and access control policies.
• Ensure compliance with security and governance frameworks for cloud-based AI workloads.
• Manage multi-VPC networking, hybrid cloud connectivity, and firewall configurations.
  
  

Cloud Migration & DevOps

• Lead large-scale application and network migrations to GCP (Cloud Load Balancing, DNS, CDN, Interconnect, GKE, etc.).
• Develop Terraform-based infrastructure automation and manage Infrastructure as Code (IaC).
• Implement CI/CD pipelines for AI/ML workloads using GitHub, Jenkins, and Ansible.
• Design DevOps solutions with cloud-native tools and containerized workloads on GKE.
  
  

Technical Leadership & Advisory

• Provide strategic guidance on cloud adoption, AI/ML use cases, and infrastructure modernization.
• Lead requirements gathering, solution design, and implementation for GCP cloud-based AI
  
  

solutions.

• Support pre-sales activities, including POCs, RFP responses, and SOW creation.
• Mentor and provide technical oversight to engineering teams.
• Serve as a trusted cloud advisor for customers, solving complex cloud infrastructure and AI challenges.
  
  

Performance Optimization & Analytics

• Optimize cloud resource usage, cost management, and AI model performance.
• Conduct cloud usage analytics, security audits, and AI model monitoring.
• Develop strategies to improve network reliability, redundancy, and high availability.
  
  

(ref:hirist.tech)