Public Cloud Engineer – GenAI & Enterprise AI
Experience: 6+ years
Location : Phoenix , AZ - Hybrid ( 3 Days a week Onsite )
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 Google Cloud Platform (Vertex AI) with exposure to AWS Bedrock, while
ensuring strong alignment with governance, security, and regulatory standards.
Key Responsibilities
Design and implement scalable Google Cloud Platform 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 Google Cloud Platform (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
Google Cloud Platform or AWS certifications
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