Defensive Cyber Analytic Solution Engineer

Booz Allen Hamilton • McLean, VA

22h

About The Position

Defensive Cyber Analytic Solution Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you’ll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. Join us. The world can’t wait.

Requirements

• 5+ years of experience in cybersecurity, systems architecture or software engineering, and AI/ML solution design
• 4+ years of experience supporting DoD, Intelligence Community, or federal civilian missions
• 2+ years of experience designing, deploying, or securing AI/ML pipelines, such as training, inference, or monitoring
• Experience with LLM platforms and APIs, such as OpenAI, Anthropic, Azure Open AI, or AWS Bedrock
• Experience with Machine Learning frameworks, such as TensorFlow, PyTorch, Scikit-Learn, or Hugging Face
• Experience with Machine Learning orchestration and serving platforms, such as SageMaker, Vertex AI, MLflow, or Kubeflow
• Experience implementing AI security controls, such as data provenance, model integrity, and supply chain, and integrating AI into operational workflows, such as SOC automation, threat detection, and analytics
• Knowledge of AI governance, DoD Responsible AI, and federal compliance
• TS/SCI clearance
• HS diploma or GED

Nice To Haves

• 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

Benefits

• health
• life
• disability
• financial
• retirement benefits
• paid leave
• professional development
• tuition assistance
• work-life programs
• dependent care
• recognition awards program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: High school or GED