About the job
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.
Responsibilities
shaping enterprise AI security strategies
developing secure model deployment frameworks
ensuring compliance with emerging AI regulations
embedding security-by-design principles into all AI initiatives
Qualifications
Minimum
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 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
Secret clearance
HS diploma or GED
DoD 8140 Certification such as Security+, CISSP, CASP+, CCSP Certification
Preferred
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