Cyber Security AI Architect

Full time | Federal Staffing Solutions Inc. | United States Posted On 05/26/2026 Job Information Technology City Washington State/Province District of Columbia 20002 Job Description We connect our employees with some of the best opportunities around. Time and again, our employees tell us that the most important thing we offer is respect. Federal Staffing Solutions puts people to work in all types of jobs. When you work with us, you build a relationship with a team of employment professionals in your community who have, in turn, built professional relationships with the businesses that are hiring. We are looking for a Cyber Security AI Architect to work in Washington, DC, supporting our client. Clearance: Public Trust or able to obtain About the Role 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. Key Responsibilities 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. Required Qualifications Bachelor's 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. Preferred Qualifications 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. Equal Opportunity Employer Federal Staffing Solutions Inc. is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment. #J-18808-Ljbffr Federal Staffing Solutions Inc.