Security AI Technologist
EchoStar · Littleton, CO
$127,050–$181,500from the description
Jul 22, 2026
Littleton, CO
Jul 23, 2026
What this job asks for AI summary
A security engineering role centered on building and operating LLM-based platforms for threat detection, risk management, and security analytics. Day-to-day work involves designing retrieval-augmented generation pipelines, developing agentic automation for security operations, and establishing governance and adversarial testing frameworks to protect AI systems. Suited to candidates with overlapping backgrounds in security engineering and generative AI development.
Mid level · 3+ years · Denver-Aurora-Lakewood, CO · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 30 people in the Denver-Aurora-Lakewood, CO area plausibly meet what this posting asks for (information security analysts). range 6–50
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $139,675 (middle half $110,017–$174,679). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The role is a genuine hybrid between AI/ML engineering (building LLM platforms, RAG pipelines, agentic workflows) and information security (threat detection, adversarial testing, AI security frameworks). 15-1212 was chosen because the primary organizational context is enterprise security operations and the explicit required frameworks (NIST AI RMF, OWASP LLM Top 10, MITRE ATLAS) are security-governance tools; 15-2051 is a credible runner-up given the depth of generative AI and ML pipeline work required.
The posting requires 3+ years in Security Engineering/Architecture AND 3+ years in Generative AI development — both stated as minimums. The overall years minimum is set to 3 as the stated floor, though in practice candidates will need concurrent or overlapping experience in both domains.
The LLM platform integration requirement names AWS Bedrock, Anthropic, Gemini, and OpenAI as examples ('e.g.'); these are captured as alternatives since the requirement gates on LLM platform experience broadly, not a specific provider.
Location is inferred as EchoStar/DISH headquarters in the Denver-Aurora-Lakewood, CO metro; the posting does not explicitly state a city but the company is headquartered there. Candidates should verify the work location.
A Bachelor's degree is listed as 'Minimum Education' but the posting explicitly accepts 'commensurate industry experience' as an alternative, so the degree requirement is set to None.
AI governance, drift monitoring, and guardrails appear under 'Additional Qualifications' framed as 'Familiarity with' — listed as preferred accordingly.
Visa sponsorship is explicitly not available for this role.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): OWASP LLM Top 10, AI governance.
Read the full posting
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