Senior AI/ML Architect

Company Summary EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department Summary Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow. Job Duties and Responsibilities Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.   EchoStar requires an enterprise architecture vision to enable AI-driven digital transformation across network, OSS/BSS, and cloud-native environments. This role bridges business strategy and technology execution by designing target-state frameworks, rationalizing technology stacks, and establishing governance standards. Solving key operational challenges involves embedding scalable machine learning solutions, real-time analytics, and automated decision-making into complex telecommunications infrastructure. What Success Looks Like (Objectives) Lead the enterprise AI architecture strategy to align digital transformation goals with measurable business outcomes across telecom systems Architect, train, and deploy production machine learning models for network optimization, predictive maintenance, and operational analytics Integrate AI/ML capability models into legacy and modern OSS/BSS platforms to automate high-volume decision-making Build resilient real-time streaming frameworks using cloud-native and edge computing principles for high-throughput network insights Establish robust governance, model lifecycle management, and ethical compliance standards to scale AI operations safely Guide cross-functional teams and junior engineers to accelerate experimentation and maintain technical alignment Skills, Experience and Requirements Core Skills and Competencies (What you’ll bring) Deep technical expertise in enterprise AI architecture, including proficiency with platforms such as AWS Bedrock, Google Vertex, Databricks, or IBM Watson and core ML frameworks Critical experience architecting and delivering large-scale AI solutions within telecommunications, mobile network, or cloud-native environments Advanced AI Application and Innovation capability to translate business requirements into scalable technology blueprints and automated systems Strong proficiency in real-time data streaming architectures, big data infrastructure (Kafka, Spark, Hadoop), and OSS/BSS system integration Demonstrated governance expertise in model lifecycle management, version control, explainability, and AI privacy frameworks Proven leadership skills in executive stakeholder management, cross-functional collaboration, and technical mentorship Additional Qualifications Successful candidates will typically have: Hands-on experience with AI-powered network tuning, network slicing, and intent-based networking Familiarity with advanced AI techniques, including deep reinforcement learning, federated learning, and model explainability Knowledge of AI ethics, regulatory compliance in telecom, and data privacy frameworks TM Forum certifications Minimum Requirements Minimum Education: Bachelor’s Degree in Computer Science, Engineering, Business, or a related technical discipline (Master's preferred) Minimum Experience: 12+ years of enterprise architecture experience, with demonstrated experience in telecommunications or mobile network operators Required Technical Skills: TOGAF certification (Level 1 and Level 2) AI/ML platforms and frameworks (TensorFlow, PyTorch, Scikit-learn, AWS Bedrock, Google Vertex, Databricks, IBM Watson) Big data processing tools (Kafka, Spark, Hadoop) and