CO Salary Range: USD 138,800.00 - 246,400.00 per year

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 workflows.
• 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

• 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 visualization 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.
  • Work closely with stakeholders, including product teams and business leaders, to understand and translate business needs into technical solutions.
  • Stay current with emerging technologies and trends in AI/ML, telemetry, time-series databases, and software development, and drive innovation within the organization.

• Experience:
  • Cumulative experience with system installation, configuration, operations, software development, and/or database development - 10+

• Education:
  • BA/BS in Information Technology, Computer Science, MIS or equivalent combination of education and experience

• Technical Skills:
  • Expert knowledge of software development and delivery (cloud computing, containerization, high-availability, mobile apps, big data, data at rest and in motion, AI, and machine learning)
  • Advanced knowledge of software development and delivery (cloud computing, containerization, high-availability, mobile apps, big data and machine learning)

• Skills:
  • Proven analytical skills to solve complex technology and business problems
  • Proven ability to present technical concepts to non-technical audiences
  • Effective written, verbal and presentation skills to all levels in the organization, including executive leadership, and external forums. May need to use influential ability to lead teams to desired business outcomes
  • Effective organizational and leadership skills
  • Effective business sense and sense of urgency to achieve business results Inquisitive nature. Eager to explore new concepts and approaches

• Abilities:
  • Ability to read, write, speak and understand English.
  • Ability to manage and foster change
  • Ability to listen and marry multiple points of view from a technical perspective to a business perspective and synthesize against goals for recommendations
  • Ability to plan, prioritize and organize effectively and independently multiple projects and tasks
  • Ability to make decisions and solve problems while working under pressure
  • Ability to show good judgment, initiative and to accomplish job duties
  • Ability to maintain good working relationships in order to influence roadmaps with business owners and stakeholders

• Travel Ability:
  • Office Environment

• Schedule:
  • Full time
  • This position is eligible for our Hybrid Work Policy. Eligible employees can work from home up to one day each week.

• Innovative Tools & Tech: Work with high-performing software and applications on the forefront of the digital telecommunications industry.
• Dynamic Growth: The growth of our industry and evolving technology will power your career as you move up or around the company.
• Supportive Teams: Who you are matters here. And, we aim to foster an inclusive workplace where every person is empowered to bring their best ideas.
• Total Rewards: See all the ways we invest in you-at work and in life