Senior AI/ML Architect
Boost Mobile
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Littleton, CO
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0
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Not Applicable
Posted April 5, 2026
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Responsibilities
Commitments
Responsibilities
- 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.
- 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
Commitments
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.
Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.
Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check.
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.
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.
Not Met Priorities
What still needs stronger evidence
Requirements
- 10+ years of AI/ML development experience, including at least 5 years in telecom or mobile network environments
- 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
Preferred 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
Education
- (Not required) – Master’s or Ph.D. in Computer Science, AI/ML, or a related technical discipline
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 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
Salary Ranges
Compensation: $154,275.00/Year - $208,725.00/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 leaves@dish.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)
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
Salary Ranges
Compensation: $154,275.00/Year - $208,725.00/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 leaves@dish.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)