Enterprise · Public safety technology
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 |
|---|---|---|
| Principal Machine Learning Engineer This Principal ML Engineer role focuses on architecting and implementing on-device AI solutions for counter UAS systems. The role involves optimizing and deploying AI models at the edge, including on devices with limited memory and connectivity, and supporting the end-to-end AI lifecycle for continuous model improvement and new AI capabilities. It emphasizes collaboration with scientists and software engineers in a multidisciplinary team, working with multi-modal sensor fusion and real-time systems with distributed edge compute. | ServeData | 8 |
| Senior Software Engineer II (TASER Data Science) Senior Software Engineer II role focused on building and shipping data products, owning production ML deployment, and establishing technical direction for engineering practices within the TASER Data Science team. The role involves bringing models from research to reliable production systems with operational rigor and building data pipelines from device telemetry to analytics surfaces. |
| ServePost-train |
| 7 |
| Senior Software Engineer II (TASER Data Science) Senior Software Engineer II role focused on building and shipping data products, owning production ML deployment, and developing data pipelines for TASER device telemetry. The role involves bringing models from research to reliable production systems with operational rigor, setting technical direction for engineering practices, and working across the full stack. Experience with ML production tooling and cloud data platforms is preferred. | ServePost-train | 7 |
| Senior Machine Learning Engineer Senior Machine Learning Engineer at Axon focused on developing and deploying AI solutions for public safety. The role involves supporting the training, evaluation, testing, and deployment of ML models on devices and in the cloud, working across computer vision, speech recognition, and NLP. Key responsibilities include building POCs, architecting secure and privacy-preserving solutions for model improvement, and developing platforms to accelerate AI development. Requires strong software engineering experience, cloud architecture knowledge, and proficiency in Python/C++ and ML frameworks. | ServePost-train | 7 |
| Senior Software Embedded Engineer Senior Software Engineer to build native foundation for edge video and IoT intelligence on Axon Body cameras and FususCOREs, owning high-performance pipelines from sensor to inference and influencing architecture at the boundary of hardware, media, and AI. The role involves defining native platform architecture, SDK strategy, and designing/shipping cascade AI pipelines at the edge. | ServeAgent | 7 |