AI Security Solutions Architect in Upper Marlboro
Role details
Job location
Tech stack
Job description
As a Secure AI Architect, you'll be responsible for designing and implementing secure architectures for artifi cia l 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.
Requirements
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8+ years of experience in cybersecurity, systems architecture, or sof tware engineering, including AI / ML solution design \n
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5+ years of experience supporting DoD, Intelligence Community, or federal civilian agency missions \n
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3+ years of experience designing, deploying, and securing AI / ML pipelines, including model training, inference, and monitoring \n
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Experience with large model platforms and APIs such as OpenAI, Anthropic, Azure OpenAI Service, and Amazon Bedrock, ML frameworks such as TensorFlow, 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 SageMaker, Vertex AI, MLFlow, and Kubeflow \n
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Experience implementing AI security controls, including data provenance, model integrity, and AI supply chain risk management \n
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Experience integrating AI into operational workflows, including SOC automation, threat detection, and cyber analytics \n
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Knowledge of AI governance frameworks and DoD Responsible AI principles \n
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Secret clearance \n
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HS diploma or GED \n
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DoD 8140 Certification such as Security+, CISSP, CASP+, CCSP Certification \n, * Experience operating in IL5, IL6, or IL7 environments \n
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Experience developing AI-enabled defensive cyber capabilities such as automated triage, detection engineering, or autonomous response \n
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Experience securing large models, RAG architectures, or agentic AI systems \n
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Experience with MLOps or AIOps practices, including model versioning, drift detection, and performance monitoring \n
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Experience with stream processing platforms such as Cribl, Kafka, or Flink, for real-time AI data ingestion \n
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Experience with data governance for AI training data in multi-classification or coalition environments \n
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Bachelor's degree in CS, Data Science, AI, Cybersecurity, or Engineering \n
Benefits & conditions
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, , 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 particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Statement
As part of the hiring process, we will ask you to complete an verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. \n
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\nRemote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. \n
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\nHybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. \n
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\nOnsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. \n
\n Commitment to Non-Discrimination
