AI GCP Solution Architect

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