Secure AI Engineer
Listed on 2025-11-13
-
IT/Tech
AI Engineer, Cybersecurity, Machine Learning/ ML Engineer
Your growth matters to us - explore our career development opportunities.
Your Candidate JourneyDiscover what to expect during your journey as a candidate with us.
Secure AI ArchitectAs a Secure AI Architect, you’ll be responsible for designing and implementing secure architectures for artificial intelligence and machine learning (AI/ML) systems across the organization. This role bridges cybersecurity and AI engineering disciplines to ensure that AI models, data pipelines, and supporting infrastructure are protected against threats such as data poisoning, model inversion, prompt injection, and adversarial attacks.
You will play a key role in shaping enterprise AI security strategies, developing secure model deployment frameworks, ensuring compliance with emerging AI regulations, and embedding security-by-design principles into all AI initiatives.
ResponsibilitiesDesign and implement secure AI/ML system architectures.
Conduct threat modeling, risk assessment, and AI model security testing.
Develop secure model deployment frameworks and AI model lifecycle management.
Ensure compliance with AI regulations, data privacy, and security standards.
You Have:- 5+ years of experience in cybersecurity, cloud architecture, or AI/ML security.
- Experience with adversarial ML techniques, model security testing, and privacy-preserving ML such as differential privacy and federated learning.
- Knowledge of AI/ML technologies, data pipelines, and model lifecycle management.
- Knowledge of secure software development, threat modeling, and cloud security such as AWS, Azure, or GCP.
- Bachelor’s degree in CS, Cybersecurity, or AI field.
- Secret clearance.
- Experience with MLOps tools such as Kubeflow, MLflow, or Sage Maker, and security automation.
- Knowledge of emerging AI security standards and regulatory frameworks.
- Master’s degree in CS, Cybersecurity, AI, or a related field.
- CISSP, CCSP, CSSLP, or Google Professional ML Engineer Certification.
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information;
Secret clearance is required.
Salary range: $86,900.00 to $ (annualized USD). The projected compensation range for this position is $86,900.00 to $ (annualized USD).
Working Model- If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
- If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).