Job Description
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 Wireless Technology team is pioneering the future of connectivity. We're developing and enhancing a unique hybrid network model-combining our advanced cloud-native 5G core with the nationwide reach of our partners. This approach ensures our network is flexible and powerful designed to satisfy the social economic and transformative needs of the changing world.
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.
We are seeking a visionary Senior AIML Architect to define and deliver AI-driven solutions that optimize network performance elevate customer experience and streamline operations for Boost Wireless. You will own the end-to-end AI architecture-from strategy through deployment-by designing scalable ML models real-time analytics frameworks and intelligent automation pipelines across our enterprise and cloud-native environments. As a key collaborator you'll partner with network engineers data scientists and business stakeholders to translate requirements into robust AI services that deliver measurable business impact.
Key Responsibilities:
- Lead the development and implementation of an enterprise AI architecture strategy aligned with digital transformation objectives
- Design train and deploy ML models for network optimization (traffic prediction anomaly detection self-healing) and operational analytics (predictive maintenance fraud detection)
- Build real-time data processing frameworks to support high-volume streaming analytics for network and customer insights
- Integrate AI/ML services into OSS/BSS platforms ensuring smooth interoperability and automated decision-making
- Architect AI solutions for enterprise network slices leveraging edge computing and cloud-native principles to drive performance and scalability
- Establish governance and best practices for model lifecycle management version control explainability and compliance with AI ethics guidelines
- Mentor and guide junior AI ML engineers fostering a culture of experimentation continuous learning and cross-functional collaboration
Skills Experience and Requirements
Education and Experience:
- Master's or Ph.D. in Computer Science AI/ML or a related technical discipline
- 10+ years of AI/ML development experience including at least 5 years in telecom or mobile network environments
Skills and Qualifications:
- Deep expertise in enterprise architectures and edge/cloud-native deployments
- Proficiency with AI/ML platforms (IBM - Watson AWS - Bedrock DataBricks Google Vertex) and libraries (TensorFlow PyTorch Scikit-learn) and big data tools (Kafka Spark Hadoop)
- Strong understanding of network protocols OSS/BSS systems and real-time analytics
- Demonstrated leadership in architecting and delivering large-scale AI programs
- Excellent stakeholder management verbal/written communication and cross-team collaboration skills
- Hands-on experience with AI-powered network tuning network slicing and intent-based networking preferred
- Familiarity with advanced AI techniques-deep reinforcement learning federated learning and model explainability preferred
- Knowledge of AI ethics regulatory compliance in telecom and data privacy frameworks preferred
#LI-LM1
Salary Ranges
Compensation: $154275.00/Year - $208725.00/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: DISH 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 [email protected] 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 )
Skills Required
- Master's or Ph.D. in Computer Science AI/ML or related technical discipline
- 10+ years of AI/ML development experience
- At least 5 years in telecom or mobile network environments
- Proficiency with AI/ML platforms and libraries
- Strong understanding of network protocols and real-time analytics
- Excellent stakeholder management and communication skills
What the Team is Saying







EchoStar Compensation & Benefits Highlights
- Retirement Support—A 401(k) with company match and discretionary profit sharing stand out as stronger elements of the package. These features bolster long-term savings alongside standard coverage.
- Equity Value & Accessibility—An Employee Stock Purchase Program at a discount expands opportunities for employee ownership. This complements retirement features and can add upside for those who value equity participation.
- Wellbeing & Lifestyle Benefits—Access to counseling legal/financial assistance HSAs/FSAs pet insurance and TV/mobile service discounts broadens the lifestyle and wellbeing offering. Such add-ons provide everyday support beyond core medical and retirement benefits.
EchoStar Insights
What We Do
Tune into the innovation collaboration and culture that our team members bring to the office every day. We want you to be a part of our journey to build the next generation of technology that transforms the way the world communicates. Our team members are the key to our history of groundbreaking innovation and our continued progress. If you bring an inquisitive curiosity a sense of pride in your work an openness to adventure and a drive to win we’ll provide the structure to take the next step in your career. This is more than just another job this is your launchpad to achieve your potential and a community dedicated to your growth.
Why Work With Us
At EchoStar we work to create opportunity and cultivate an environment where people thrive. Between our brands our partners our teams and our customers the opportunities are endless. Get started on your next career adventure with EchoStar!
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EchoStar Offices
OnSite Workspace
All team members are in person at one of our locations across the globe. We proudly call Colorado home with several corporate offices in the Denver-Metro area and 4000+ team members in the Denver-Metro area.







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Date Posted
06/07/2026
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