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About the Role
Axon's Corporate AI Team focuses on internal-facing AI solutions, building and operating Cortex, an internal AI platform that provides GPT-class models, chat assistants, and secure integrations. This role will help design, build, and scale this platform, owning core services and integrations that power AI experiences for thousands of Axon employees.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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.
Requirements
- 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.
Skills
- Python
- TypeScript/JavaScript
- Java
- AWS
- Azure
- GCP
- Cloud-native services
- Web service fundamentals
- APIs
- Authentication/authorization
- Observability
- CI/CD
- AI/ML
- LLMs
- OpenAI
- Bedrock
- Security best practices
- Secrets management
- Least-privilege access
- Audit logging
- LLM platforms
- OpenAI (ChatGPT / APIs)
- AWS Bedrock
- Azure OpenAI
- Azure ML Studio
- Jira
- Confluence/Quip
- Slack
- M365
- Salesforce
- Snowflake
- RAG (Retrieval-Augmented Generation)
- Semantic search
- Vector stores
- Terraform
- GitHub Actions
- Docker
- Kubernetes
- Application monitoring stacks
- Internal platforms
- Self-service tools
- Enablement activities
Location
- Remote
Work Type
- Full-time
Experience Level
- Senior
- 4+ years of professional software engineering experience
Education Level
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Salary/Compensations
- $162,150—$259,440 USD
- $141,000—$225,600 USD
Benefits
- Total compensation includes base pay, bonus, and stock awards.
- Benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life.
About the Company
- Axon is on a mission to Protect Life, exploring society’s most critical safety and justice issues with an ecosystem of devices and cloud software.
- Life at Axon is fast-paced, challenging and meaningful, offering opportunities for ownership and driving real change.
- Axon 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 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.
Equal Opportunity
- 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 recruitingops@axon.com.
- Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways.
- Some roles may also require legal eligibility to work in a firearms environment.