AI Infrastructure Engineer

📋 Job Overview

At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.

Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.

🏢 About Axon

Axon’s Corporate AI Team sits within Business Technology and builds internal-facing AI solutions that help employees reduce manual work, move faster, and focus on higher-value work. The team develops AI-powered tools, internal applications, integrations, and automation workflows used across Axon.

🎯 The Role

We’re looking for an AI Infrastructure Engineer to help move internal AI and software prototypes from “it works” to “it is production-ready, secure, reliable, supportable, and maintainable.” This role focuses on the operational backbone of internal applications: infrastructure, CI/CD, deployment patterns, reliability, maintenance, support, and production readiness.

✅ Key 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.

📌 Required Qualifications

• 4+ years of experience in platform engineering, DevOps, infrastructure engineering, internal tools engineering, automation engineering, software engineering, or a related technical role.
• Strong cloud infrastructure experience with Azure, AWS, or GCP; Azure experience is especially helpful.
• Experience with infrastructure-as-code concepts and tools such as Terraform, Bicep, Pulumi, CloudFormation, or similar.
• Experience building, maintaining, or supporting CI/CD pipelines, especially with GitHub Actions.
• Strong understanding of deployment patterns, environments, secrets management, access controls, monitoring, logging, and production support.
• Ability to read, understand, maintain, and improve application code in Python, TypeScript, JavaScript, Node.js, or similar languages.
• Experience supporting production or production-like systems, including bug fixes, incident response, dependency updates, documentation, and reliability improvements.
• Familiarity with AI application concepts such as LLM APIs, prompt engineering, RAG, agents, model evaluation, AI security risks, and responsible AI practices.
• Strong ownership mindset, including comfort taking over work others started, bringing order to ambiguity, and making systems more reliable over time.
• Strong communication skills and ability to work with technical teams, IT partners, security stakeholders, and internal business users.
• Comfort with brownfield engineering, maintenance, support, and operational excellence.
• Practical, service-oriented mindset focused on whether internal tools work well for the people depending on them.

⭐ Desirable Experience

• Operating applications on Vercel, including configuration, deployments, environment variables, access controls, monitoring, and production support.
• Supporting internal tools, enterprise applications, workflow automation, or business-critical internal systems.
• Azure infrastructure, identity, networking, application hosting, and security patterns.
• Authentication and authorization patterns such as SSO, OAuth/OIDC, Entra ID / Azure AD, RBAC, service principals, and secrets management.
• Observability tools, logging platforms, alerting systems, uptime monitoring, incident response, and operational runbooks.
• Maintaining applications built with Python, TypeScript, JavaScript, Node.js, React, or similar modern stacks.
• Backend services, APIs, integrations, serverless applications, containers, or cloud-hosted web applications.
• AI-powered internal tools, LLM applications, RAG workflows, agents, Slackbots, enterprise integrations, or automation platforms.
• Integrating with enterprise systems such as Slack, Jira, Confluence/Quip, Microsoft 365, Salesforce, Snowflake, ServiceNow, or similar.
• Working in regulated, security-sensitive, or compliance-heavy environments.
• Creating engineering standards, templates, checklists, lifecycle models, or production readiness frameworks.
• Participating in UAT, release readiness, stakeholder testing, or internal application rollout processes.
• Mentoring or enabling other engineers through documentation, templates, examples, or operational best practices.

🎁 Benefits

Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers.

🛂 Visa & Eligibility

Some roles may also require legal eligibility to work in a firearms environment.