AI Security Solutions Architect

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As 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.

Join us. The world can’t wait.

• 8+ years of experience in cybersecurity, systems architecture, or software engineering, including AI / ML solution design
• 5+ years of experience supporting DoD, Intelligence Community, or federal civilian agency missions
• 3+ years of experience designing, deploying, and securing AI / ML pipelines, including model training, inference, and monitoring
• Experience with large language model platforms and APIs such as OpenAI, Anthropic, Azure OpenAI Service, and Amazon Bedrock, ML frameworks such as Tensor Flow, PyTorch, scikit-learn, and Hugging Face Transformers, data engineering and analytics platforms such as Databricks, Apache Spark, Snowflake, and Apache Iceberg, and ML orchestration and serving platforms such as Amazon Sage Maker, Vertex AI, MLFlow, and Kubeflow
• Experience implementing AI security controls, including data provenance, model integrity, and AI supply chain risk management
• Experience integrating AI into operational workflows, including SOC automation, threat detection, and cyber analytics
• Knowledge of AI governance frameworks and DoD Responsible AI principles
• Secret clearance
• HS diploma or GED
• DoD 8140 Certification such as Security+, CISSP, CASP+, CCSP Certification

• Experience operating in IL5, IL6, or IL7 environments
• Experience developing AI-enabled defensive cyber capabilities such as automated triage, detection engineering, or autonomous response
• Experience securing large language models, RAG architectures, or agentic AI systems
• Experience with MLOps or AIOps practices, including model versioning, drift detection, and performance monitoring
• Experience with stream processing platforms such as Cribl, Kafka, or Flink, for real-time AI data ingestion
• Experience with data governance for AI training data in multi-classification or coalition environments
• Bachelor's degree in CS, Data Science, AI, Cybersecurity, or Engineering

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.

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs.

Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s…