Senior AI Platform Engineer II at Axon

📍 Job Overview

Job Title: Senior AI Platform Engineer II
Company: Axon
Location: Hybrid from Seattle OR Scottsdale OR San Francisco OR Atlanta OR Boston
Job Type: Full-Time
Category: AI & Machine Learning
Date Posted: 2025-06-18
Experience Level: 2-4 years
Remote Status: Hybrid

🚀 Role Summary

Axon, a leader in public safety technology, is seeking a Senior AI Platform Engineer II to join their Corporate AI team. In this role, you'll collaborate with cross-functional teams to support the adoption and integration of AI technologies within Axon, focusing on GPT technologies and cloud platforms. You'll gain hands-on experience with AI solutions, learn best practices for solution development, and assist in delivering secure, high-impact AI solutions.

💻 Primary Responsibilities

🔹 Deployment & Integration

Assist in Deployment: Help implement patterns for deploying GPT-driven applications across various platforms and services.
Collaborate on Connectors: Work with the team to build and maintain connectors that enhance GPT functionalities within existing systems.
Evaluate & Test New Services: Participate in evaluating and testing new AI services, providing feedback on usability and performance.

📚 Training & Best Practices

Create Training Materials: Support the creation of training materials and documentation to promote effective use of GPT and LLMs.
Teach Prompt Engineering: Learn and help teach prompt engineering fundamentals to development teams.
Document Lessons Learned: Document lessons learned and share knowledge to improve team-wide AI practices.

🏢 Architectural Guidance

Understand Architectural Approaches: Work with the Corporate AI Team and solution architects to understand architectural approaches for GPT projects.
Identify Design Improvements: Assist in identifying potential design improvements to ensure scalability and efficiency.

💡 Innovation & Value Creation

Brainstorm New Applications: Participate in brainstorming sessions to identify new ways to apply GPT technologies for business value.
Stay Updated on Trends: Keep up-to-date with the latest trends in AI, machine learning, and cloud services, bringing fresh ideas to the team.

🗣️ Collaboration & Communication

Work with Cross-Functional Teams: Collaborate closely with data engineering, solution architecture, and business units to support ongoing GPT initiatives.
Communicate Updates: Communicate updates, roadblocks, and technical insights clearly to team members and stakeholders.

🔒 Secure Developer Enablement

Manage API Keys: Learn and help maintain secure procedures for managing GPT API keys, ensuring compliance with Axon’s security standards.
Set Up Monitoring & Auditing: Assist in setting up monitoring and auditing processes to track usage and detect anomalies.

🎓 Skills & Qualifications

🎓 Education & Experience

Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
2-4 years of software development experience (internships or relevant projects may be considered).

🛠️ Required Skills

Proficiency in programming languages such as Python, Java, JavaScript, React, or similar.
Cloud platform experience (e.g., AWS, Azure, GCP) and interest in expanding these skills.
AI and machine learning passion and eagerness to learn GPT/LLM deployment.
Basic understanding of security best practices and willingness to learn more about securing AI platforms.
Strong communication skills with an ability to work collaboratively in a fast-paced environment.

🏆 Preferred Skills

Exposure to OpenAI, Azure ML Studio, or similar AI services.
Familiarity with data platforms such as Snowflake or any data integration tools.
Enthusiasm for exploring emerging AI and machine learning trends and applying them to real-world use cases.

📊 Web Portfolio & Project Requirements

AI Project Portfolio: Prepare a portfolio showcasing your AI and machine learning projects, highlighting your proficiency in GPT technologies and cloud platforms.
Code Quality & Documentation: Ensure your code is well-documented, following best practices for solution development and deployment.
Project Case Studies: Prepare case studies demonstrating your ability to evaluate, test, and integrate new AI services.

💵 Compensation & Benefits

💰 Salary Range

Starting base pay: USD 140,000 in the lowest geographic market to USD 217,000 in the highest geographic market.

🎁 Benefits

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in offices

🎯 Team & Company Context

🏢 Company Culture

Industry: Public Safety Technology
Company Size: Large (10,000+ employees)
Founded: 1993 (as TASER International, rebranded as Axon in 2017)
Team Structure: Large, cross-functional teams with a focus on collaboration and innovation.
Development Methodology: Agile, with a focus on continuous integration, deployment, and improvement.

📈 Career & Growth Analysis

AI Platform Engineer Career Level: This role is an intermediate-level position, focusing on hands-on AI solution development and deployment.
Reporting Structure: Reports to the Senior Manager, Corporate AI Solutions, with close collaboration with cross-functional teams.
Technical Impact: This role has a significant impact on Axon's AI adoption and integration, contributing to high-impact AI solutions.

🌐 Work Environment

Office Type: Hybrid, with flexible work arrangements.
Office Location(s): Seattle, Scottsdale, San Francisco, Atlanta, Boston
Workspace Context: Modern, collaborative workspaces with access to the latest tools and technologies.
Work Schedule: Standard full-time hours with flexibility for deployment windows and maintenance.

📄 Application & Technical Interview Process

📝 Interview Process

Technical Assessment: A hands-on assessment focusing on GPT technologies, cloud platforms, and AI solution development.
Architecture Discussion: A discussion on architectural approaches for GPT projects and potential design improvements.
Team Fit Assessment: An evaluation of your communication skills, collaboration, and cultural fit within the team.
Final Evaluation: A final evaluation based on your technical skills, problem-solving abilities, and alignment with Axon's mission and values.

💡 Portfolio Presentation Strategy

Live Demo: Prepare a live demo of your AI projects, highlighting your proficiency in GPT technologies and cloud platforms.
Code Walkthrough: Be ready to explain your code and architectural decisions clearly and concisely.
User Experience Showcase: Highlight the user experience aspects of your AI solutions, demonstrating your understanding of real-world applications.

🛠️ Technical Challenge Preparation

AI & Machine Learning Fundamentals: Brush up on your AI and machine learning fundamentals, with a focus on GPT technologies and cloud platforms.
Problem-Solving Skills: Practice problem-solving exercises to hone your ability to evaluate, test, and integrate new AI services.
Communication Skills: Prepare for behavioral questions that assess your communication skills, collaboration, and cultural fit.

📌 Application Steps

To apply for this AI Platform Engineer II position:

Submit your application through the application link.
Customize your portfolio with live demos and responsive examples, highlighting your proficiency in GPT technologies and cloud platforms.
Optimize your resume for AI and machine learning roles, emphasizing your project highlights and technical skills.
Prepare for the technical interview, focusing on coding challenges and portfolio presentation.
Research Axon, focusing on their AI initiatives and user experience understanding.

Senior AI Platform Engineer II