Senior Security AI Engineer

EchoStar•Littleton, CO

10h

About The Position

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.

Requirements

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
Bachelor’s Degree in Computer Science, Information Technology, related discipline, or commensurate industry 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
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)

Nice To Haves

Familiarity with artificial intelligence governance, drift and safety monitoring, guardrails, and regulated or satellite/telecom security environments

Responsibilities

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