AI Infra Engineer: Production-Ready Internal Tools

Axon; Seattle, San Francisco, Scottsdale, Boston (WA, CA, AZ, MA); On-site; USD 154,000 - 247,000; Full time

Job summary

Axon is seeking an AI Infrastructure Engineer to make internal AI-powered tools production-ready, secure, and reliable. You’ll own the operational backbone, CI/CD, and deployment patterns across multi-cloud environments.

Ideal candidates have strong platform engineering skills, experience with GitHub Actions, Terraform, and cloud infrastructure, and a proven ability to move prototypes into production while ensuring security and uptime.

Qualifications

• Experience in platform engineering, DevOps, or internal tools engineering.

Responsibilities

• Own maintenance, support, and operational readiness for internal AI-enabled applications and tools.
• Help productionize prototypes built by Corporate AI, business teams, or technical partners.
• Improve infrastructure and deployment patterns, with a focus on Vercel-hosted applications and tools deployed across Azure, AWS, and other environments.
• Build and maintain CI/CD, infrastructure-as-code patterns, monitoring, secrets management, access controls, runbooks, and support processes.
• Partner through testing, rollout, UAT, and long-term maintenance so internal tools remain useful, stable, secure, and dependable.

Skills

Cloud infrastructure

GitHub Actions

Terraform

CI/CD

Vercel

Security

Observability

Automation

Tools

Terraform

Bicep

Pulumi

CloudFormation

Azure

Job description

Axon is seeking an AI Infrastructure Engineer to make internal AI-powered tools production-ready, secure, and reliable. You’ll own the operational backbone, CI/CD, and deployment patterns across multi-cloud environments.

Ideal candidates have strong platform engineering skills, experience with GitHub Actions, Terraform, and cloud infrastructure, and a proven ability to move prototypes into production while ensuring security and uptime.