AI Security & LLM Engineer

1 мес. назад

USAOnsite

apisecuritymodelingarchitectureoptimization

Design, secure, and optimize generative AI infrastructure with focus on multi-agent systems and cybersecurity.

Be Challenged and Make a Difference     In a world of technology, people make the difference. We believe if we invest in great people, then great things will happen. At , we provide unmatched value to our customers and employees through innovative solutions and an engaging culture.  Description of Task to be Performed:  The AI Security & LLM Engineer  will   design, secure, and optimize our next-generation generative AI infrastructure. In this role, you will bridge the gap between advanced AI capabilities and rigorous cybersecurity practices. You will build resilient multi-agent systems while actively defending against emerging vulnerabilities like prompt injection, data exfiltration, and model manipulation. Core Responsibilities :   System A

Clearance : Active TS/SCI Clearance with CI Polygraph 
Education & Years of Experience : Bachelor’s degree and 8 years of experience related to specific functional area.  
Certifications:  Active certifications for both IAT Level II (e.g. CompTIA Security+) and Cyber Security Service Provider (CSSP) Infrastructure Support (e.g. CompTIA Cloud+) by program onboarding date. 
The following individual certifications cover both certification requirements for this program: CompTIA Cybersecurity Analyst, CySA+; EC-Council Certified Network Defender (CND); GlAC Global Industrial Cyber Security Professional, GICSP; (ISC)2 System Security Certified Practitioner (SCCP). 
Hands-on experience and knowledge with the following:  
AI Architecture: Proven experience with multi-agent orchestration tools and production-grade RAG pipelines.
AI Security: Deep understanding of OWASP Top 10 for LLMs, prompt injection defense, and guardrail frameworks.
Infrastructure Management: Experience handling token optimization, context window constraints, and API throttling.

Frontier Model Expertise:  Hands-on experience deploying commercial frontier models (e.g., ChatGPT, Grok, Claude).
AI Developer Tools:  Experience utilizing advanced AI-assisted development workflows such as Claude Code or Codex.
Security Testing:  Background in traditional penetration testing, vulnerability assessment, or cryptographic concepts.