Senior Security AI Engineer
Confirmed on the employer's own hiring board on Nov 14, 2026. First seen by Alion on Nov 2, 2026. EchoStar scores B on the Alion truth index.
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 (Objectives):
- 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
- Build technical safeguards and controls aligned with enterprise architecture and governance frameworks to protect artificial intelligence systems against prompt injection, unauthorized access, and adversarial abuse
- Implement adversarial testing routines and technical evaluation protocols to defend against evolving artificial intelligence-augmented tactics, techniques, and procedures
Core Skills, Competencies, and Key Experiences (What you’ll bring)
- Strong 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
- Strong skills in Python or equivalent programming languages for developing artificial intelligence pipelines, automation, and security tooling
- Proven ability to secure cloud-native systems and automated machine learning pipelines using defense-in-depth principles
- Artificial intelligence literacy and innovation capability to assess emerging adversarial threats, evaluate 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
Candidates must be willing to participate in at least one in-person interview.
Visa sponsorship not available for this role.
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)
Salary Range
Compensation: $127,050.00/Year - $181,500.00/Year
About Our Department
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.
About Our Company
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.
Benefits
We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary 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.
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.
This job posting will be active for a minimum of 3 days and 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. If you have questions regarding your application or the recruitment process please email [email protected].
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English /Spanish)
- 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
- Build technical safeguards and controls aligned with enterprise architecture and governance frameworks to protect artificial intelligence systems against prompt injection, unauthorized access, and adversarial abuse
- Implement adversarial testing routines and technical evaluation protocols to defend against evolving artificial intelligence-augmented tactics, techniques, and procedures
- Strong 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
- Strong skills in Python or equivalent programming languages for developing artificial intelligence pipelines, automation, and security tooling
- Proven ability to secure cloud-native systems and automated machine learning pipelines using defense-in-depth principles
- Artificial intelligence literacy and innovation capability to assess emerging adversarial threats, evaluate 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
Candidates must be willing to participate in at least one in-person interview.
Visa sponsorship not available for this role.
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)