AI Platform Engineer (DevOps) – AWS AI Platform

About the role

Join Luminor as an AI Platform Engineer (DevOps) and help build a secure, scalable AWS‑based AI platform that powers Generative AI solutions across the organization. You will work closely with engineering, data, and product teams to deliver reliable AI services such as Amazon Bedrock, AI agents, and Knowledge Bases.

Key responsibilities

• Design, build, and maintain AWS infrastructure for AI workloads, including Amazon Bedrock services, EKS clusters, vector storage, and document ingestion pipelines.
• Develop and manage Infrastructure as Code using Terraform and automate deployments through CI/CD pipelines.
• Implement identity, security, governance, and compliance controls (federated access, audit logging, data protection).
• Establish observability, monitoring, and cost‑management for AI workloads (model latency, token usage, platform performance).
• Create documentation, runbooks, and self‑service tools to support platform adoption and long‑term sustainability.

Required profile

• Proven experience as a DevOps, AI Platform, Cloud, or Platform Engineer.
• Strong hands‑on expertise with AWS services, networking, security, and identity management.
• Experience with Terraform, CI/CD pipelines, Docker, Kubernetes, and Amazon EKS.
• Familiarity with AI application architectures, vector databases, and enterprise data integrations.

Required skills

• AWS (including Amazon Bedrock, EKS)
• Terraform
• CI/CD pipelines
• Docker
• Kubernetes
• Python, Bash, PowerShell
• Vector databases
• Security, governance, compliance controls
• Observability and monitoring tools