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This posting has been extended beyond the intial anticipated close date. We are seeking an experienced Telemetry and AI/ML Architect with a strong background in software development, programming, and time-series databases to design, develop, and implement telemetry solutions and AI/ML architectures. This role is critical in driving innovation, optimizing performance, and ensuring operational excellence by leveraging advanced data analytics, AI/ML models, and real-time telemetry data.

The successful candidate will have proven experience architecting and implementing telemetry systems at scale. Strong experience in AI/ML model development, deployment, and monitoring in production environments. Hands-on experience with modern software development practices (CI/CD, Agile, DevOps, etc.). Extensive experience with time-series databases (e.g., InfluxDB, TimescaleDB, Prometheus) and their integration into telemetry and AI/ML workflo Experience with Grafana for telemetry data visualization and event management tools for incident response. Strong programming skills in Python, Java, Go, or other relevant languages. Proficiency with AI/ML frameworks (TensorFlow, PyTorch, etc.) and libraries. Deep understanding of telemetry protocols, tools, and systems. Expertise with time-series databases for handling and processing real-time data at scale. Expertise with monitoring and alerting systems like Grafana, Prometheus, Loki and other event management platforms Spectrum's Product and Technology team creates, develops, and operates the nation's fastest mobile service, most reliable internet service, most viewed live TV app, and the most advanced WiFi, serving nearly 100 million users and 500 million devices. We are transforming the next era of connectivity and entertainment experiences. The diversity of experience available within Spectrum's Product and Technology team is unmatched and there are opportunities to grow your career as a designer, architect, engineer, developer, operator, or data scientist. We are creative, disciplined, hard-working, complex-problem solvers that believe in collaborating to deliver the highest quality customer experience.

BE PART OF THE CONNECTION

As a Principal Architect III - Telemetry & ML, you will have in-depth expertise in AI/ML frameworks, telemetry systems, and time-series databases, combined with strong programming skills. You will collaborate with cross-functional teams, including other system and platform architects, engineers, and product managers, to implement next-generation AI/ML-driven products and services, enabling real-time insights and predictive capabilities.

WHAT OUR PRINCIPAL ARCHITECTS ENJOY MOST

Architecture Design & Development: Lead the design and implementation of scalable telemetry systems and AI/ML infrastructure. Collaborate with data scientists and engineers to integrate AI/ML models into software systems. Design software systems for real-time telemetry data collection, processing, and analysis, ensuring scalability, security, and efficiency. Develop frameworks to monitor and optimize the performance of AI/ML models in production using real-time data. Architect solutions that leverage time-series databases to handle large-scale, high-frequency telemetry data and feed it into AI/ML models. Telemetry & Data Analytics: Architect and implement end-to-end telemetry systems to capture and analyze large-scale, real-time data from distributed systems. Build and maintain data pipelines that support the collection, processing, and storage of telemetry data for AI/ML model training and monitoring. Design and optimize data storage using time-series databases like Victoriametrics, Prometheus, or TimescaleDB for AI/ML workloads. Enable predictive analytics through data-driven insights from telemetry systems and ensure data integrity for AI/ML applications. Implement and configure Grafana for real-time monitoring and visualizat on of telemetry data. AI/ML Model Deployment & Monitoring: Develop tools and processes to automate the deployment of machine learning models in production environments. Implement monitoring and alerting systems to track the performance and accuracy of AI/ML models. Utilize Grafana, time-series databases, and other monitoring tools to ensure visibility into model performance, system health, and real-time telemetry data. Collaborate with DevOps teams to ensure continuous integration and deployment (CI/CD) of AI/ML models and telemetry solutions. Event Management & Incident Response: Lead the implementation of event management frameworks to handle telemetry-driven alerts and events. Leverage event management platforms to automate and streamline the detection, response, and resolution of telemetry or model-related issues. Develop proactive event management systems to identify anomalies and improve incident response time. Implement mechanisms for automating event correlation and reducing false positives through intelligent alerting systems. Utilize strong programming skills (Python, Java, Go, etc.) to design and implement robust, reusable, and high-performance software components. Develop and optimize data pipelines that feed real-time telemetry data into AI/ML models using time-series data and other relevant data sources. Work with software engineers to integrate AI/ML models and telemetry data into existing applications. Ensure software architectures are aligned with business goals and industry best practices. Provide technical leadership and mentorship to engineering teams in telemetry, AI/ML, software architecture, and event management.