Senior Security AI Engineer

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

Benefits offered by this job

401(k) with company match

Employee stock purchase plan

Flexible time away

Health perks

Job summary

EchoStar Corporation seeks a security engineering lead to design and operate secure LLM-driven platforms for analytics, threat detection, and governance. You will build secure data pipelines and automation that support SOC analysts and threat hunters across enterprise systems.

The role requires 3+ years in security engineering and Generative AI development, with hands-on experience in LLM platforms and security tooling. Visa sponsorship not available; in-person interview required.

Qualifications

• Bachelor’s degree required in computer science, information technology, or related field.
• 3+ years in security engineering, security architecture, threat research, or detection engineering; 3+ years in Generative AI development, modeling, integration, and security.
• Experience with LLM platforms and security tooling, pipelines, or automation.

Responsibilities

• Design, build, and operationalize secure LLM-driven platforms for security analytics and governance workflows.
• Implement secure data ingestion and retrieval-augmented generation pipelines across security data sources.
• Develop agentic automation workflows that augment SOC analysts and threat hunters.

Skills

LLM platform integration

Python development

AI security frameworks

Threat modeling

Education

Bachelor's degree in CS/IT or related

Job description

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

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