Google Platform AI Engineer

Role Summary

We are hiring a hands-on Senior Cloud Engineer with Generative AI expertise to build secure, scalable, and compliant AI platforms. The role focuses on enterprise-grade GenAI solutions on GCP (Vertex AI) with exposure to AWS Bedrock, while ensuring strong alignment with governance, security, and regulatory standards.

Key Responsibilities

• Design and implement scalable GCP architectures (Vertex AI, GKE, Cloud Run, BigQuery)
• Build and deploy Generative AI solutions (LLMs, RAG, copilots, chatbots) using Vertex AI / AWS Bedrock
• Develop and manage MLOps pipelines (model deployment, monitoring, versioning)
• Implement Infrastructure as Code (IaC) using Terraform or equivalent
• Build and maintain CI/CD pipelines (GitHub Actions or similar)
• Ensure strong cloud networking, secure connectivity, and IAM controls
• Enforce data security, privacy, and compliance standards
• Partner with risk, security, and compliance teams to support governance and MRM requirements

Required Skills

• Hands-on experience with GCP (Vertex AI preferred) or AWS (Bedrock)
• Strong experience in Generative AI (LLMs, prompt engineering, embeddings, RAG)
• Deep understanding of cloud networking, VPCs, private connectivity, and network security
• Expertise in IAM, access control, and security best practices
• Hands-on experience with Terraform (or equivalent IaC tools)
• Strong experience with CI/CD pipelines (GitHub Actions preferred)
• Proficiency in Python and microservices-based architecture
• Experience with Docker, Kubernetes (GKE/EKS)

Preferred

• Experience in financial services / regulated environments
• Knowledge of Model Risk Management (MRM) / Responsible AI frameworks
• Familiarity with LangChain, LlamaIndex, vector databases
• GCP or AWS certifications