Cyber Security AI Architect

This is a high-impact architecture role for a security professional who understands both modern cybersecurity practices and the evolving risks introduced by AI in a SaaS environment. You will design secure patterns for AI systems across training deployment inference integrations and monitoring while helping the organization build practical and scalable governance for AI use. The ideal candidate is equally comfortable advising senior stakeholders reviewing technical designs and translating emerging AI threats into actionable controls.

Requirements

• U.S. Citizenship is required
  
• Must have or be able to receive a Public Trust
  
• Candidate must live in the Washington D.C. metropolitan area. The position requires working onsite for three days and remotely two days in Washington D.C.

• Design secure reference architectures for AI and generative AI solutions including data ingestion model training fine-tuning deployment inference and AI-enabled SaaS integrations.
  
• Design and implement practical security guardrails to prevent prompt injection data leakage and model supply-chain risks in AI/SaaS systems.
  
• Lead AI-focused threat modeling and risk assessments covering issues such as prompt injection data leakage model inversion adversarial manipulation model poisoning and software supply chain risk.
  
• Partner with engineering data science product legal privacy and compliance teams to embed secure-by-design practices into AI workflows and release processes.
  
• Establish policies standards and governance controls for acceptable AI use data protection model access retention auditability and third-party oversight.
  
• Support architecture reviews security testing adversarial validation and control assessments for AI systems before and after deployment.
  
• Recommend monitoring detection and response approaches for AI-related misuse drift abuse and high-risk behavior.
  
• Translate technical risks into clear architectural guidance and business-focused recommendations for stakeholders and leadership.
  

• Bachelors degree in Cybersecurity Computer Science Information Technology Engineering or a related field or equivalent practical experience.
  
• 8 years of experience in security architecture cloud security application security or enterprise risk management.
  
• Strong understanding of AI machine learning and generative AI concepts including large language models model pipelines and AI-enabled applications.
  
• Hands-on experience with core security domains such as identity and access management encryption data protection secure software design logging monitoring and incident response.
  
• Experience conducting threat modeling architecture reviews and security control design for complex technology environments.
  
• Knowledge of AI governance privacy and compliance requirements including risk frameworks and audit expectations.
  
• Excellent communication skills with the ability to work effectively across technical business and leadership audiences.
  

• Experience securing generative AI retrieval-augmented generation AI agents or enterprise AI platforms in production environments.
  
• Familiarity with frameworks and standards such as NIST AI RMF OWASP guidance for LLM applications ISO 42001 SOC 2 GDPR HIPAA or similar requirements.
  
• Experience with SaaS security posture management third-party risk reviews and cloud-native security controls.
  
• Relevant certifications such as CISSP CCSP SABSA cloud security certifications or specialized AI security training.
  
• Experience working in regulated industries or large complex enterprise environments.