Description

You will design, build, and maintain scalable cloud infrastructure with a focus on Generative AI workloads.

Responsibilities

• Design and implement scalable GCP (Vertex AI, GKE, Cloud Run) or AWS architectures.
• Build and deploy Generative AI solutions including LLMs, RAG, and chatbots.
• Develop and manage MLOps pipelines for model deployment, monitoring, and versioning.
• Implement Infrastructure as Code using Terraform and maintain CI/CD pipelines.
• Ensure robust cloud networking, IAM controls, and data security compliance.

Required Skills

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

Preferred Skills

• Experience partnering with risk, security, and compliance teams for governance.
• Knowledge of MRM (Model Risk Management) requirements.

Key Skills

Education

Bachelor's degree