Senior AI Cloud Platform Engineer

Devopsroles

Northern (KY)

Hybrid

USD 115,000 - 252,000

Full time

14 days+
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Job summary

Devopsroles is seeking an AI Cloud Platform Engineer to design, build, and scale intelligent systems across multiple clouds. You will bridge AI and cloud infrastructure, architect complex multi-agent flows, and deploy secure AI workloads serving thousands of users.

The role emphasizes a self-motivated technical leader who thrives in agile environments and stays current with emerging AI technologies.

Qualifications

  • U.S. citizenship is required.
  • Ability to obtain DHS EOD Public Trust.
  • 10+ years in cloud/infrastructure engineering with multi-cloud exposure.
  • Deep knowledge of RAG, vector databases, embedding techniques and retrieval systems.
  • Expert Terraform and IaC experience; production Kubernetes for AI workloads.
  • Strong Python scripting and CI/CD experience.

Responsibilities

  • Design, implement and support multi-cloud services using IaC (Terraform, ARM templates).
  • Build and optimize Retrieval-Augmented Generation pipelines and semantic search systems.
  • Design data preprocessing workflows, chunking strategies, vector DB infra.
  • Develop automation with PowerShell, Python, Azure CLI, Logic Apps, Functions.
  • Configure and tune NSGs, application gateways, and cloud security controls.
  • Manage compute, storage, networking, database services across clouds.
  • Collaborate with data scientists, UI/UX and SMEs to integrate AI features.
  • Enforce security best practices for large language models and data privacy.

Skills

Cloud engineering
Terraform
Kubernetes
Docker
Python
Security clearance readiness
Multi-cloud
AI/ML infra
CI/CD

Education

BS/BA + 15 years or equivalency (AA + 17 years, MS + 12 years, or no degree + 21 years)
Relevant degree preferred (informatics/engineering)

Tools

Azure
AWS
GCP
AKS
EKS
Terraform

Job description

Devopsroles is seeking an AI Cloud Platform Engineer to design, build, and scale intelligent systems across multiple clouds. You will bridge AI and cloud infrastructure, architect complex multi-agent flows, and deploy secure AI workloads serving thousands of users.

The role emphasizes a self-motivated technical leader who thrives in agile environments and stays current with emerging AI technologies.

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