Job Description
Job Title: AI GCP Solution Architect
Duration: Long Term Contract
Responsibilities:
Client Advisory & Consulting:
. Act as a trusted advisor to clients on cloud strategy, architecture, and modernization
. Lead client workshops to assess current-state architecture and define future-state GCP solutions
. Translate business objectives into cloud-native and hybrid GCP architectures
. Provide architectural governance and ensure adherence to CGI and client standards
Solution Architecture & Delivery:
. Design end-to-end GCP architectures covering compute, data, networking, security, and DevOps
. Define cloud migration and modernization approaches (re-host, re-platform, re-architect)
. Architect solutions using GKE, Cloud Run, BigQuery, Cloud SQL, VPC, IAM, and related services
. Ensure solutions meet non-functional requirements (security, performance, resilience, cost)
. Review designs, code, and infrastructure for quality and best practices
Presales & Thought Leadership:
. Support presales activities including solutioning, effort estimation, and proposal responses
. Contribute to RFPs/RFIs, architecture decks, and client presentations
. Provide technical leadership during bid pursuits and client demos
. Contribute to CGI cloud accelerators, reference architectures, and best practices
Governance, Security & Optimization:
. Define IAM models, security controls, logging, monitoring, and compliance frameworks
. Implement Infrastructure as Code (Terraform) and CI/CD pipelines
. Drive cost optimization (FinOps) and operational excellence
. Support audits, security reviews, and production readiness
Required qualifications:
At least 8+ years of IT experience with 3+ years of experience in Google Cloud Platform architecture/consulting consultant
In-depth knowledge:
GCP Compute: Compute Engine, GKE, Cloud Run
AI- LLM prompt with GCP, creating model via vertex AI ,Experience working with customers building GenAI applications
products and putting security guardrails within LLM models
Architecture design for Vertex AI services
Data & Analytics: BigQuery, Cloud Storage, Cloud SQL
Networking & Security: VPC, IAM, Load Balancing, KMS
Strong experience with Kubernetes, containers, and microservices
Infrastructure as Code using Terraform
Most Imp:
LLM prompt with GCP
Creating model via vertex AI
Experience working with customers building GenAI applications and products and putting security guardrails within LLM models
Architecture design via Vertex AI services
Preferred Qualifications:
Google Cloud Professional Cloud Architect certification - Nice to have
Experience with hybrid and multi-cloud environments
Exposure to regulated industries (Banking, Insurance, Healthcare, Government, Telecom)
Experience with DevSecOps, SRE, or FinOps practices