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Artificial Intelligence Telecom Jobs in Colorado

Security AI Technologist

Littleton, CO · On-site

$127K - $181K/yr

Familiarity with artificial intelligence governance, drift and safety monitoring, guardrails, and regulated or satellite/telecom security environments Minimum Requirements * Minimum Education:

Senior Data Scientist

Englewood, CO · On-site

$96K - $137K/yr

Multi-brand telecom and technology environments face operational complexity and resource inefficiencies when deploying large-scale artificial intelligence models across hybrid infrastructures. This ...

Business Analyst III

Englewood, CO · On-site

$45 - $55/hr

Preferred: cable or telecom field operations or network maintenance experience. * Preferred ... Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its ...

Business Analyst III

Englewood, CO · On-site

$45 - $55/hr

Preferred: cable or telecom field operations or network maintenance experience. * Preferred ... Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its ...

Tools: Must possess basic telecom tools and standard Personal Protective Equipment (PPE ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Tools: Must possess basic telecom tools and standard Personal Protective Equipment (PPE ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

AI Business Partner

Littleton, CO · On-site

$110K - $157K/yr

This role addresses these operational frictions by embedding artificial intelligence across ... Industry AI, network, or telecom certifications from providers such as Google, AWS, Anthropic ...

Artificial Intelligence Telecom information

What are the key skills and qualifications needed to thrive as an artificial intelligence telecom professional?

To excel as an Artificial Intelligence Telecom professional, you need a solid background in computer science, telecommunications, and data analytics, often supported by a relevant bachelor’s or master’s degree. Familiarity with AI and machine learning frameworks (such as TensorFlow or PyTorch), telecom protocols, and cloud platforms (like AWS or Azure) is typically required, along with certifications in AI or telecommunications. Strong problem-solving abilities, teamwork, and effective communication help you collaborate with cross-functional teams and translate technical findings into business value. These skills are crucial for designing, implementing, and optimizing AI-driven telecom solutions that improve network performance and customer experience.

What is the difference between Artificial Intelligence Telecom vs Data Scientist?

AspectArtificial Intelligence TelecomData Scientist
Required CredentialsBachelor's or master's in computer science, AI, or telecommunications; certifications in AI or networkingBachelor's or master's in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentTelecommunications companies, network providers, AI solution firmsTech companies, finance, healthcare, research institutions
Employer & Industry UsageFocuses on integrating AI into telecom infrastructure and servicesAnalyzes data to inform business decisions across industries

While both roles involve AI and data analysis, Artificial Intelligence Telecom specializes in applying AI within the telecommunications industry, focusing on network optimization and AI-driven telecom solutions. Data Scientists work across various sectors analyzing data to extract insights, making their scope broader but less industry-specific.

How does an artificial intelligence professional in the telecom industry typically collaborate with network engineers and data scientists?

In the telecom sector, AI professionals frequently work alongside network engineers and data scientists to develop, implement, and optimize intelligent network solutions. Collaboration often involves analyzing large datasets from network operations, designing machine learning models to predict outages or optimize traffic, and integrating these models into existing network management systems. Regular meetings, cross-functional project teams, and shared tools are common, ensuring that AI initiatives are aligned with technical requirements and business goals. This collaborative environment helps drive innovation while maintaining the reliability and efficiency of telecom networks.

What is the role of artificial intelligence in telecom?

Artificial intelligence in telecom involves using machine learning and data analytics to optimize network performance, automate customer service, and enhance security. AI helps in predictive maintenance, fraud detection, and managing large-scale data traffic, improving efficiency and user experience for telecom providers. Professionals in this field often work with tools like neural networks and require skills in data analysis and programming.

What is an artificial intelligence telecom professional?

An Artificial Intelligence Telecom professional is someone who applies AI and machine learning technologies to improve telecommunications systems and services. They work on optimizing network performance, automating customer support, detecting fraud, and enhancing user experiences through intelligent solutions. These professionals often collaborate with data scientists, network engineers, and software developers to build and deploy AI-driven tools that meet the evolving needs of telecom companies. Their expertise is crucial in enabling faster, smarter, and more reliable communications for consumers and businesses.
What are popular job titles related to Artificial Intelligence Telecom jobs in Colorado? For Artificial Intelligence Telecom jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Artificial Intelligence Telecom jobs? Cities in Colorado with the most Artificial Intelligence Telecom job openings:
Infographic showing various Artificial Intelligence Telecom job openings in Colorado as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Security AI Technologist

EchoStar

Littleton, CO • On-site

$127K - $181K/yr

Full-time

Medical, Retirement

Posted 20 days ago


EchoStar rating

7.2

Company rating: 7.2 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

61st of 97 rated telecommunications companies


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.

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.

Enterprise security infrastructure faces accelerating threats alongside rapid adoption of generative artificial intelligence technologies. This role addresses critical vulnerabilities, architectural gaps, and operational overhead by deploying secure Large Language Model platforms and automated threat workflows across the organization. The position resolves risk management challenges by establishing continuous monitoring, robust governance, and adversarial testing frameworks for artificial intelligence systems. Successful execution ensures robust defense mechanisms while safely enabling advanced automation across security operations.

What Success Looks Like
  • Design, build, and operationalize secure Large Language Model-driven platforms for security analytics, threat detection, third-party risk management, and governance workflows

  • Implement secure data ingestion and retrieval-augmented generation pipelines across structured and unstructured security data sources to improve context retrieval and detection accuracy

  • Develop agentic automation workflows that integrate directly into security tooling to augment security operations center analysts and threat hunters

  • Establish continuous monitoring models to evaluate control effectiveness, risk scoring, detection correlation, model drift, and safety failures

  • Define enterprise architecture and governance frameworks to protect artificial intelligence systems against prompt injection, unauthorized access, and adversarial abuse

  • Lead threat intelligence and adversarial testing initiatives to defend against evolving artificial intelligence-augmented tactics, techniques, and procedures

Skills, Experience and RequirementsCore Skills and Competencies
  • Hands-on technical expertise in building, integrating, and operating enterprise Large Language Model platforms and providers

  • Deep understanding of Retrieval-Augmented Generation architectures, embeddings, vector databases, tokenization, and contextual retrieval patterns

  • Comprehensive knowledge of artificial intelligence security and risk frameworks, including NIST AI RMF, OWASP LLM Top 10, and MITRE ATLAS

  • Proficiency in Python or equivalent languages for developing artificial intelligence pipelines, automation, and security tooling

  • Critical experience securing cloud-native systems and automated machine learning pipelines using defense-in-depth principles

  • Artificial intelligence literacy and innovation capability to assess emerging adversarial threats, mitigate model risks, and drive secure technology adoption

Additional Qualifications
  • Familiarity with artificial intelligence governance, drift and safety monitoring, guardrails, and regulated or satellite/telecom security environments

Minimum Requirements
  • Minimum Education: Bachelor’s Degree in Computer Science, Information Technology, related discipline, or commensurate industry experience

  • Minimum Experience: 3+ years of experience in Security Engineering, Security Architecture, Threat Research, or Detection Engineering; 3+ years in Generative AI development, modeling, integration, and security

  • Required Technical Skills: Must have at least 3 years of experience with:

    • Large Language Model platform integration (e.g., AWS Bedrock, Anthropic, Gemini, OpenAI)

    • Python development for security tooling, pipelines, or automation

    • AI security frameworks and threat modeling (NIST AI RMF, OWASP LLM Top 10, MITRE ATLAS)

Visa sponsorship not available for this role

#LI-JZ2

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 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)


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