Senior AI/ML Architect

Job Description

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 OSS/BSS systems

Salary Ranges

Compensation: $146,108.00/Year - $210,000.00/Year
Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits .

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. 

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process. EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact View email address on jobs.echostar.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. Click the links to access the following statements: EEO Policy Statement , Pay Transparency , EEOC Know Your Rights ( English / Spanish )