Senior AI Platform Architect for Enterprise LLM & Cloud

highmetric; United States; Remote; USD 160,000 - 210,000; Full time

Job summary

highmetric is seeking a senior platform engineer to design, build, and maintain the core foundations powering enterprise AI deployments. You will work across cloud, platform, DevOps, and applied AI engineering to move LLM-powered solutions from prototype to governed production.

Responsibilities include developing reference architectures, secure integrations, and CI/CD for models like Claude, while contributing to internal AI-foundry platforms and tooling.

Qualifications

• 5+ years of platform, cloud, DevOps, or related engineering experience.
• Hands-on design and deployment of cloud-native apps on AWS, Azure, or GCP.
• Strong CI/CD, Git workflows, automated testing, and infrastructure as code.
• Containerization with Docker and Kubernetes or similar platforms.
• Proficiency in Python, JavaScript/TypeScript, Java, Go, or Bash; REST API design.
• Experience with LLM-powered apps, RAG, embeddings, and model monitoring.

Responsibilities

• Design, build, deploy, and maintain scalable platform capabilities for enterprise AI.
• Develop reusable reference architectures, infrastructure patterns, and templates.
• Build secure integrations to enterprise data sources, APIs, and tools.
• Collaborate with AI architects to translate client needs into platform designs.
• Maintain secure integrations with Claude-family models and related services.
• Implement CI/CD, infrastructure-as-code, monitoring, and LLMOps practices.
• Contribute reusable components and playbooks to internal platforms.

Skills

Platform engineering

Cloud engineering

DevOps

Software engineering

REST APIs

LLM-powered apps

Education

Bachelor's degree in Computer Science / Engineering / Information Systems / Data Science

Tools

Docker

Kubernetes

Terraform

Pulumi

CloudFormation

Argo CD

GitHub Actions

GitLab CI

Azure DevOps

Job description

highmetric is seeking a senior platform engineer to design, build, and maintain the core foundations powering enterprise AI deployments. You will work across cloud, platform, DevOps, and applied AI engineering to move LLM-powered solutions from prototype to governed production.

Responsibilities include developing reference architectures, secure integrations, and CI/CD for models like Claude, while contributing to internal AI-foundry platforms and tooling.