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Architect - Google Cloud Platform

SkyBridge HR SolutionsCoimbatore

30+ days ago

Job description

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)

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