We are looking for a highly skilled Senior Cloud AI Platform Architect (Google Cloud Platform).

This role works with enterprise customers during the early stages of cloud and AI transformation, partnering with sales, consulting, hyperscalers, customers, and delivery teams to understand business challenges, define cloud strategies, architect contemporary platforms, design migration approaches, and shape winning technical solutions.

The ideal candidate brings deep expertise in Google Cloud Platform (GCP) (Azure and Aws good to have) along with hands-on experience in AI/ML Platforms, MLOps, and Cloud-Native architectures. Prior presales experience is preferred but not mandatory.

Key Responsibilities:

Engage customers to understand business objectives and technology challenges.

Conduct cloud assessments, application discovery, and workload analysis.

Develop cloud adoption roadmaps and transformation strategies.

Design enterprise-grade GCP architectures including Landing Zones, IAM, Networking, Shared VPC, Security, Compute, Kubernetes, Serverless, Storage, Databases, HA/DR, Governance, and FinOps.

Define migration and modernization strategies including Rehost, Replatform, Refactor, Containerization, Kubernetes adoption, and Database Modernization.

Design AI platforms using Vertex AI, MLOps pipelines, Model Registry, Feature Stores, ML lifecycle, LLMOps, Responsible AI, and AI Governance.

Provide architecture guidance for SRE, Observability,



Reliability Engineering, Monitoring, Security, and Cloud Operations.

Support customer workshops, RFP/RFI responses, solution documents, presentations, architecture reviews, and technical solutioning.

Required Technical Skills:

Google Cloud Platform: GCP Organization, IAM, VPC, Shared VPC, Cloud DNS, VPN, Interconnect, Compute Engine, GKE, Cloud Run, Cloud Functions, Cloud Storage, Cloud SQL, AlloyDB, BigQuery, Monitoring, Logging, Security Command Center, Cloud Armor, Secret Manager, KMS.

AI/ML: Vertex AI, Kubeflow, ML Pipelines, MLFlow, TensorFlow, PyTorch, Feature Store, Model Registry, LLM deployment, Vector Databases, AI Governance, MLOps, LLMOps.

Containers DevOps: Kubernetes, Docker, Helm, Terraform, GitHub, GitHub Actions, GitLab CI, Cloud Build, Jenkins, ArgoCD, Infrastructure as Code.

Observability: Google Cloud Operations Suite, Prometheus, Grafana, Datadog, Dynatrace, Splunk, ELK, OpenTelemetry.

Security: Zero Trust, IAM, Workload Identity, Encryption, Organization Policies, CIS Benchmarks, Cloud Security Posture Management.

FinOps: Cost Optimization, Rightsizing, Budget Controls, Billing Analysis, Chargeback/Showback.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 GCP & AI Platform Architect (Hyderabad)
🏢 UST
📍 Hyderabad