Senior Security AI Engineer

EchoStar; Littleton (CO); On-site; USD 127,000 - 182,000; Full time

Benefits offered by this job

HSA

401(k) with match

ESPP

Flexible time away

Job summary

EchoStar is seeking a Senior Security Engineer to design and operationalize secure Large Language Model platforms for security analytics, threat detection, and governance. You will implement retrieval-augmented generation pipelines and integrate with existing security tooling to empower the SOC.

You will lead defense-in-depth strategies, model monitoring, and adversarial testing, ensuring prompt injection resistance and safe automation across security operations.

Qualifications

• Minimum 3 years in Security Engineering, Security Architecture, Threat Research, or Detection Engineering.
• 3+ years in Generative AI development, modeling, integration, and security.
• Experience with large language model platform integration (e.g., AWS Bedrock, Anthropic, Gemini, OpenAI).
• Proficiency in Python for developing AI pipelines, automation, and security tooling.

Responsibilities

• Design, build, and operate secure LLM-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 into security tooling to augment SOC 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 AI systems against prompt injection and adversarial abuse.

Skills

Enterprise LLM platforms

Retrieval-Augmented Generation

AI security frameworks

Python development

Cloud security

AI governance and safety

Education

Bachelor's Degree in Computer Science or related field

Tools

AWS Bedrock

Anthropic

Gemini

OpenAI

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.

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 Requirements

Core 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

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Salary Ranges

Compensation: $127,050.00/Year - $181,500.00/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:

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 [e-mail] 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)