AI Security Solutions Architect

AIToolboard

College Park (MD)

On-site

USD 150,000 - 210,000

Full time

14 days+
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Job summary

Booz Allen Hamilton, Inc. is seeking a Secure AI Architect to design and implement secure architectures for AI/ML systems across the organization.

You will bridge cybersecurity and AI engineering to protect models, data pipelines, and infrastructure from data poisoning, model inversion, and adversarial threats. The role requires 8+ years in cybersecurity or related fields and 3+ years securing AI/ML pipelines, with experience in major LLM platforms and ML frameworks.

Qualifications

  • 8+ years in cybersecurity, systems architecture, or software eng, incl. AI/ML solution design.
  • 3+ years designing, deploying, securing AI/ML pipelines (training, inference, monitoring).
  • Experience with LLM platforms (OpenAI, Anthropic, Azure OpenAI, Amazon Bedrock) and ML/ML ops tools.

Responsibilities

  • Design secure architectures for AI/ML systems across the org.
  • Implement security controls for data provenance and AI supply chain risk.
  • Embed security-by-design in AI initiatives and model deployment frameworks.

Skills

Cybersecurity architecture
AI/ML solution design
Security-by-design
Threat modeling
SOC automation
Threat detection
AI governance
Security clearance

Education

HS diploma or GED

Tools

OpenAI API
Anthropic
Azure OpenAI Service
Amazon Bedrock
TensorFlow
PyTorch
Databricks
SageMaker
Kubeflow

Job description

BOOZ, ALLEN & HAMILTON, INC. College Park, US

Full-time

About the Role

AI Security Solutions Architect The Opportunity: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.Join us. The world can\'t wait.You Have:

  • 8+ years of experience in cybersecurity, systems architecture, or sof tware engineering, including AI/ML solution design
  • 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 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
  • 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
  • Ability to obtain a Secret clearance
  • HS diploma or GED

Nice If You Have:

  • 5+ y
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