Enterprise AI Platform Architect - GCP & GenAI

Deloitte France

San Francisco (CA)

On-site

USD 122,000 - 241,000

Full time

14 days+
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Job summary

Deloitte is seeking a seasoned Google AI Architect to design enterprise AI platforms on Google Cloud using Vertex AI and Gemini. You will architect scalable, secure solutions, govern LLM deployments, and implement end-to-end data and model lifecycles with CI/CD and MLOps.

Responsibilities include building RAG systems, vector search, and production deployments while leading cloud-native development and governance across multiple services. Travel up to 50% may be required.

Qualifications

  • Bachelor's degree in Computer Science, Engineering or a related technical field.
  • 6+ years' experience as a Software or Solution Architect, with production-scale systems.
  • 5+ years hands-on Google Cloud, with 2+ end-to-end enterprise implementations.
  • 4+ years designing Google Cloud networks, security controls, and landing zones using Terraform.
  • 2+ years building and operating containerized workloads on GKE.
  • 2+ years implementing CI/CD and DevSecOps with Cloud Build, GitHub Actions, or Jenkins.
  • 3+ years executing migration or modernization programs to Google Cloud.
  • 2+ years applying AI/GenAI on Google Cloud with Vertex AI and Gemini, including production deployment.
  • Deep understanding of AI/ML concepts; experience with LLMs in enterprise settings.
  • Experience implementing multiple AI solutions in professional environments.
  • Strong security understanding for AI/ML systems.

Responsibilities

  • Architect and deliver enterprise AI platforms and applications on Google Cloud using Vertex AI and Gemini.
  • Design, fine-tune, evaluate, and govern LLM solutions with Gemini on Vertex AI.
  • Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector.
  • Define end-to-end architectures across data pipelines, model lifecycle, and CI/CD/MLOps.
  • Lead cloud-native development on GKE, Cloud Run, Pub/Sub, BigQuery, and Terraform.
  • Implement security and governance for AI/ML systems; apply Gemini safety features.

Skills

GCP
Vertex AI
Gemini
Terraform
Kubernetes
CI/CD
MLOps
Security
AI Architecting
Enterprise software

Education

Bachelor's degree in Computer Science or related field

Tools

BigQuery
Cloud Build
Docker
Vector Search
Cloud Pub/Sub
GKE

Job description

Deloitte is seeking a seasoned Google AI Architect to design enterprise AI platforms on Google Cloud using Vertex AI and Gemini. You will architect scalable, secure solutions, govern LLM deployments, and implement end-to-end data and model lifecycles with CI/CD and MLOps.

Responsibilities include building RAG systems, vector search, and production deployments while leading cloud-native development and governance across multiple services. Travel up to 50% may be required.

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