Senior Software Engineer I, Applied AI

Axon

Scottsdale (AZ)

On-site

USD 140,000 - 220,000

Full time

14 days+
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Job summary

Axon is seeking a Senior Software Engineer for the Internal AI Platform to help design, build, and scale Cortex, Axon's internal AI platform. You will own core services and integrations that empower thousands of Axon employees to work faster and safer.

In this hands-on senior IC role, you will code, deploy, and operate production systems, collaborating with Corporate AI, Data Engineering, and business teams to deliver reliable AI experiences with scalable patterns and secure data flows.

Responsibilities

  • Own core AI platform services and integrations powering internal AI experiences.
  • Design, code, and operate production-grade AI workloads with cost control.
  • Define patterns for deploying AI-driven applications across Axon's cloud environments.
  • Implement monitoring, alerting, and auditing to ensure reliability.
  • Collaborate with data engineering and business teams to deliver secure tools.

Skills

Cloud services
API development
LLM integration
Telemetry & monitoring
Reliability engineering

Tools

Jira
Quip
Slack
Microsoft 365
Snowflake

Job description

Join Axon and be a Force for Good.

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.

Senior Software Engineer, AI Platform (Corporate AI Team)
Team & Role Overview

Axon’s Corporate AI Team sits within the Enterprise Data organization and focuses on internal-facing AI solutions that help Axon employees do more high‑value work with less manual effort. The team builds and operates Cortex , Axon’s internal AI platform that provides GPT‑class models, chat assistants, and secure integrations with systems like Quip, Jira, Slack, Microsoft 365, Snowflake, and more.
We’re looking for a Senior Software Engineer, AI Platform to help design, build, and scale this platform. In this role, you’ll:

  • Own core services and integrations that power AI experiences for thousands of Axon employees.
  • Collaborate with Corporate AI, Data Engineering, and business teams to turn real workflows into secure, reliable AI‑powered tools.
  • Help define best practices and patterns for building production‑grade LLM and agentic workloads at Axon.

This is a hands‑on senior IC role —you’ll spend most of your time designing, coding, and operating production systems, not managing people.

What You’ll Do

Build and Evolve the AI Platform

  • Design, build, and operate services that power Axon’s internal AI platform (Cortex), including chat experiences, agents, and integrations with enterprise systems.
  • Implement and standardize patterns for deploying AI‑driven applications (APIs, web services, workflows, agents) across Axon’s cloud environments.
  • Own and extend connectors and MCP integrations (e.g., Jira, Quip, Slack, M365, Snowflake) that allow LLMs to safely read and write data in Axon systems.
  • Measure and improve reliability, latency, and cost for AI workloads, using telemetry and feedback from real users.

Deployment, Integration, and Reliability

  • Drive the end‑to‑end lifecycle of new AI features—from prototype to hardened production service (design, implementation, testing, rollout, and operations).
  • Evaluate new AI services (e.g., OpenAI, AWS Bedrock, Azure ML) for fit, performance, and cost; recommend and implement the right options for each use case.
  • Implement monitoring, alerting, and auditing for AI services, ensuring we can trace usage, detect anomalies, and keep systems healthy in production.

Enablement, Best Practices, and Architecture

  • Help define and document best practices
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