Agecareers AI Security Architect at AGE Solutions providing security architecture and engineering guidance for AI/ML systems including LLMs and generative AI. Applies NIST AI Risk Management Framework to secure AI-enabled solutions.
Responsibilities
Provide security architecture and engineering guidance for AI/ML systems, LLMs, generative AI, and associated supporting infrastructure
Apply the NIST AI Risk Management Framework (AI RMF) to AI/ML system design, integration, deployment, and operation
Identify and recommend mitigations for AI-specific security threats and vulnerabilities, including prompt injection, data poisoning, model evasion, and related attack vectors
Architect and review secure data pipelines used to collect, process, train, validate, and provide data to AI/ML models
Develop security approaches that protect mission data and CUI used during model training and inference
Evaluate AI/ML architectures and data flows to identify security weaknesses and recommend threat-informed engineering solutions
Translate DoD cybersecurity, RMF, and NIST requirements into practical security controls for AI-enabled systems
Collaborate with system owners, architects, developers, ISSMs, and ISSOs to integrate security into AI/ML capabilities from concept through production
Communicate AI security risks, recommended mitigations, and architectural alternatives to both technical teams and Government leadership
Qualification
10+ years of related experienceDemonstrated knowledge of RMF
Required
Bachelor’s degree or equivalent professional experience.
10+ years of related experience.
DoD 8140 Work Role 652 – Security Architect Certification requirement (must have at least one of the following): CCNP Enterprise, GMON, SecurityX / CASP+, CCSP, CISM, CISSO, CISSP-ISSAP, CISSP-ISSEP, Cloud+, CSSLP, FITSP-D, GCIA, GCSA, GDSA, GICSP, GSEC
Must have and maintain a current DoD Top Secret clearance.
Must reside within a commutable distance of Fort Meade, MD or Chambersburg, PA in order to work a hybrid onsite schedule (4 days onsite weekly).
Demonstrated experience securing AI/ML technologies, including LLMs and generative AI.
Demonstrated knowledge of RMF, NIST SP 800-37, NIST SP 800-53, and NIST AI RMF.
Knowledge of AI-specific vulnerabilities and associated mitigation strategies.
Experience designing or evaluating secure data architectures and pipelines supporting AI/ML workloads.
Ability to translate cybersecurity requirements into implementable engineering solutions.
Strong written and verbal communication skills with the ability to explain complex cybersecurity concepts to both technical and non-technical stakeholders.
Ability to manage multiple concurrent projects in a high-tempo DoD environment.