Senior Security AI Engineer: Secure LLM Platforms

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

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.