AI Security Technologist

Company Summary

Echo Star 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.

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.

Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.

The AI Security Technologist is responsible for designing, securing, and operationalizing Generative AI platforms for Echo Star’s Security organization. This role develops AI systems that enhance security operations, enable automated decision support, strengthen risk management, and ensure the enterprise maintains a secure and governed approach to AI adoption.

• Design, build, and operationalize secure LLM-driven platforms for security analytics, automation, orchestration, threat detection, TPRM, and GRC use cases
• Implement secure data ingestion and AI pipelines across structured and unstructured security data (IOCs, TTPs, logs, configs, vulnerabilities, policies) with standards for RAG, embeddings, vector storage, and context retrieval
• Develop agentic and AI‑enabled automation workflows that augment SOC analysts, threat hunters, architects, and GRC teams, integrated directly into security tooling
• Build continuous monitoring models for control effectiveness, risk scoring, detection correlation, prioritization, model drift, hallucinations, safety failures, and abuse or adversarial influence
• Define and maintain enterprise architecture and governance for protecting AI systems, including prompt security, guardrails, RBAC/ABAC, secure hosting and isolation, lifecycle governance, compliance, and incident response playbooks
• Lead AI threat intelligence, adversarial testing, and resilience efforts—monitoring malicious AI activity, attacker‑driven prompts and malware, evolving AI‑augmented TTPs, and partnering cross‑functionally to enable secure AI adoption and education across the organization

Education & Experience:

• Bachelor’s degree in Computer Science or Information Technology, related discipline, or commensurate industry experience
• 3+ years in Security Engineering, Security Architecture, Threat Research, or Detection Engineering
• 3+ years in GENAI development, modeling, integration and security

Skills and

Qualifications:

• Hands‑on experience building, integrating, or operating LLM platforms and providers (e.g., AWS Bedrock, Anthropic, Gemini, OpenAI)
• Deep understanding of embeddings, vector databases, RAG architectures, tokenization, and contextual retrieval patterns
• Strong working knowledge of AI security and risk frameworks, including NIST AI RMF, OWASP LLM Top 10, and MITRE ATLAS
• Proficiency in Python (or equivalent) for developing AI/ML pipelines, automation, and security tooling
• Experience securing cloud‑native systems and automated data/ML pipelines, with exposure to secure AI or ML architecture design
• Familiarity with AI governance, drift and safety monitoring, guardrails, and regulated or telecom/satellite security environments preferred

Compensation: $/Year - $/Year

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits.

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…