Senior Software Engineer I, Applied AI

InvestedintheMission; California (MO); On-site; USD 141,000 - 225,000; Full time

Job summary

Axon is seeking a Senior Software Engineer for the Corporate AI Team to design, build, and scale the internal AI platform (Cortex) that supports thousands of Axon employees with secure, production-grade AI experiences.

You will own core services, partner with data engineering and business teams, and help define best practices for GPT/LLM workloads while ensuring reliability, security, and observability across Axon’s cloud environments.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 4+ years of professional software engineering experience.
• Proficiency in Python, TypeScript/JavaScript, or Java.
• Experience with at least one major cloud provider (AWS/Azure/GCP).
• Understanding of web services, APIs, authentication/authorization, observability, and CI/CD.
• Interest or experience in AI/LLMs and related tooling (OpenAI, Bedrock, etc.).
• Knowledge of security best practices (secrets, least-privilege, audit logging).
• Strong communication and collaboration skills.

Responsibilities

• Own core services and integrations powering AI experiences for Axon employees.
• Collaborate with Corporate AI, Data Engineering, and business teams to turn workflows into AI-powered tools.
• Define patterns for deploying AI-driven applications across cloud environments.
• Design, build, and operate internal AI platform components (Cortex) and integrations.
• Drive end-to-end lifecycle of AI features from prototype to production.
• Evaluate AI services for fit, performance, and cost; implement chosen options.
• Develop monitoring, alerting, and auditing for AI services.

Skills

Bachelor’s degree

4+ years software engineering

Python

TypeScript/JavaScript

Java

Cloud platforms (AWS/Azure/GCP)

Web services fundamentals

AI/ML interest

Security basics

Strong communication

Education

Bachelor’s degree in CS/Engineering

Tools

Jira

Confluence/Quip

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 for GPT/LLM solution development, including prompt engineering, RAG patterns, agentic workflows, and safe tool use.
• Partner with Corporate AI and Enterprise Architects to shape reference architectures for AI‑enabled apps and workflows (scalability, resiliency, observability, data access).
• Contribute to internal starter kits, training content, and templates that help other engineers and analysts build on the platform effectively.

Security, Governance, and Responsible AI

• Implement and maintain secure patterns for API key management, secrets, and access to models and data sources, aligned with Axon’s security and compliance standards.
• Work with Data, Security, and Governance partners to operationalize responsible AI guardrails—e.g., model selection, data minimization, logging, and usage controls.
• Ensure that new capabilities respect permissions, auditing, and policy requirements across systems like Jira, Quip, Slack, M365, and Snowflake.

Collaboration and Communication

• Collaborate closely with Data Engineering, Solution Architecture, and business teams (Finance, Sales, Operations, etc.) to turn real workflows into repeatable AI solutions.
• Clearly communicate design decisions, trade‑offs, and status to technical and non‑technical stakeholders.
• Participate in brainstorming and discovery sessions to identify “big dumb problems worth solving” with AI and automation.

What You Bring

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 4+ years of professional software engineering experience, including building and operating production services or platforms.
• Strong proficiency in at least one of: Python, TypeScript/JavaScript, or Java.
• Experience with at least one major cloud provider (AWS, Azure, or GCP) and comfort working with cloud‑native services (functions, containers, managed databases, queues, storage).
• Solid understanding of web service fundamentals (APIs, authentication/authorization, observability, CI/CD) and how to build reliable, maintainable systems.
• Demonstrated interest in AI/ML and LLMs—for example, integrating with OpenAI, Bedrock, or similar APIs; building GPT‑style apps; or using AI‑assisted development tools.
• Basic understanding of security best practices (secrets management, least‑privilege access, audit logging) and eagerness to deepen this in the context of AI platforms.
• Strong communication and collaboration skills, with comfort working in a fast‑moving, experimental environment.

Preferred Experience

You don’t need all of these, but experience in several of the following will help you ramp quickly:

• Hands‑on work with LLM platforms and tools, such as OpenAI (ChatGPT / APIs), AWS Bedrock, Azure OpenAI, or Azure ML Studio.
• Experience integrating with enterprise systems like Jira, Confluence/Quip, Slack, M365, Salesforce, or Snowflake—especially via APIs or connectors.
• Familiarity with RAG (Retrieval‑Augmented Generation), semantic search, or vector stores in production contexts.
• Exposure to DevOps / platform engineering: Terraform or similar IaC, GitHub Actions or other CI/CD systems, containerization (Docker, Kubernetes), and application monitoring stacks.
• Experience building internal platforms or self‑service tools used by multiple teams.
• Participation in enablement activities (internal trainings, office hours, documentation, or community programs like Axon’s Champions Circle) is a plus.

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.

Base Pay Range

$162,150 — $259,440 USD

Base Pay Range

$141,000 — $225,600 USD

Base Pay Range

$141,000 — $225,600 USD

Important Notes

The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.

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

We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at [e-mail] or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.

Axon’s mission is to Protect Life and is committed to the well‑being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.

We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email [e-mail]. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.