The Director of Artificial Intelligence will play a pivotal role in shaping the future of AI-driven public safety solutions. This leader will be responsible for defining the strategic vision and technical roadmap for AI and machine learning platforms, ensuring alignment with organizational goals and customer needs. The role involves leading cross-functional teams in developing cutting-edge AI systems that operate seamlessly across cloud and edge environments, with a focus on scalability, reliability, and real-time performance. The ideal candidate will combine deep technical expertise with strong leadership skills to foster innovation, mentor engineering talent, and drive the adoption of best practices in machine learning engineering and distributed systems architecture.
Responsibilities
- Serve as a strategic leader to inspire innovation, drive adoption of modern engineering practices, and advance AI technologies across the organization's value chain
- Build and manage a top-tier team of machine learning platform engineers skilled in distributed training, edge AI, data engineering, and cloud-to-device deployment
- Partner with science, technology, and product teams to design and implement data ingestion systems and model pipelines spanning development, deployment, monitoring, and performance optimization
- Challenge existing technical approaches by introducing advanced distributed system designs, including high-throughput training and low-latency inference architectures
- Foster a collaborative, inclusive culture rooted in ownership, experimentation, and innovation while aligning with product teams to deliver customer-focused solutions
Requirements
- Bachelor’s degree in Computer Science, Engineering, Physics, Mathematics, or a closely related technical field
- Over 10 years of software engineering experience with a demonstrated ability to design and implement highly available, low-latency systems for high-traffic applications
- Minimum of 6 years in a leadership role with a proven history of building and managing engineering teams
- Proficient in Scala or Java, with hands-on experience in Python for machine learning workflows
- Extensive experience designing and deploying scalable, high-throughput machine learning pipelines for both streaming and batch processing
- Strong hands-on expertise with major cloud platforms such as AWS, Microsoft Azure, and Google Cloud
- Exceptional problem-solving abilities with deep engagement in system architecture, performance metrics, code quality, testing, and operational execution
- Effective communication skills for working across disciplines with scientists, engineers, and product managers
Nice to Have
- Master’s degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field
- 12 or more years of experience developing and delivering AI-powered data science products
- Proven experience with commercial machine learning platforms from major cloud providers
- Background in IoT and Edge AI, including optimization of ML pipelines for constrained on-device environments
- Prior leadership of geographically dispersed engineering teams
Tech Stack
Scala, Java, Python, AWS, Microsoft Azure, Google Cloud, Machine learning workflows, Distributed systems, Data ingestion systems, Model training pipelines, Edge AI, Cloud platforms, Streaming processing, Batch processing, Low-latency systems, High-throughput systems
Benefits
- Competitive base salary with 401k plan featuring employer matching contributions
- Discretionary paid time off policy
- Paid parental leave available to all employees
- Comprehensive medical, dental, and vision insurance options
- Fitness and wellness programs
- Emotional and mental health support services
- Learning and professional development opportunities
- Employee Resource Groups (ERGs) that support inclusion and community
- Office snacks provided at physical locations
Compensation
Base pay range: $204,000 - $326,400 USD per year. Equity: Stock awards included in total compensation. Bonus included in total compensation; total compensation include
Work Arrangement
Hybrid
Team
This role operates within the AI and Machine Learning division, working closely with data scientists, platform engineers, and product managers to deliver scalable AI solutions. The team emphasizes innovation, technical excellence, and cross-functional collaboration to solve complex challenges in public safety technology.
Additional Information
- This position requires occasional travel for team meetings and customer engagements.
- Candidates must be authorized to work in the United States without sponsorship.
- The company is committed to building a diverse and inclusive workplace.
- All employees participate in regular performance reviews and career development planning.
- Security clearance may be required due to the nature of public safety technology.
- The role offers opportunities for technical mentorship and leadership growth.
