Axon currently has 44 active AI-related job listings. The majority of these roles, 48%, are focused on agents. Engineering is the most frequent function for these hires, followed by Product and Research. The company is primarily hiring in the United States. Frequent technical tags include agent_orchestration, model_serving, and inference_infra, suggesting a focus on deploying and managing AI models. Over the last 30 days, Axon has posted 18 new AI roles, representing a 25% decrease compared to the previous 30-day period.
Currently tracking 25 active AI roles, up 17% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $130k–$283k (avg $201k).
Axon currently has 55 active AI-related roles in our index. The most common open titles are: Senior D365 F&O Solutions Analyst (6), Senior Director, Enterprise Applications (6), Senior Machine Learning Scientist (3), Senior Software Engineer I (2), Senior Software Engineer II (TASER Data Science) (2). Most positions are in Engineering and Product.
Axon's active AI hiring is concentrated in: agents (58%), application (20%), serving infrastructure (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Axon is hiring AI talent in: United States (49 roles), Vietnam (4 roles), United Kingdom (2 roles).
Job postings at Axon most frequently mention: Computer Vision, Machine Learning, TensorFlow, Natural Language Processing, Embedded Systems.
In the past 30 days, Axon has posted 29 new AI-related roles. That is a +21% change versus the prior 30 days (24 → 29).
| Title | Stage | AI score |
|---|---|---|
| Software Engineering Team Manager, Axon 911 This role is for a Software Engineering Team Manager at Axon 911, focusing on building and leading a back-end engineering team for mission-critical communications infrastructure. The team is responsible for voice, video, audio recording, transcription, translation, and location services. The role involves driving architecture, delivery, and reliability of scalable systems, coordinating cross-team integration, mentoring engineers, and leveraging AI tools to improve the software development lifecycle. Experience with cloud-native development and Kubernetes is required. | — | 5 |
| Senior DevOps SRE Engineer Senior DevOps SRE Engineer responsible for owning and evolving AWS infrastructure using Infrastructure-as-Code (Terraform/Terragrunt), architecting and scaling AWS environments, deploying and managing containerized workloads with Kubernetes and Docker, leading deployment and release processes, defining and enforcing SLOs/SLIs/error budgets, driving toil reduction, and leading observability efforts with Datadog. The role also involves building self-service internal developer platforms, taking end-to-end ownership of infrastructure projects, partnering with engineering teams on technical planning, and incorporating AI-assisted engineering practices into daily workflows. Experience with AI/ML infrastructure is a plus. |
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| 1 |