Cybersecurity AI/ML Engineer

Cybersecurity AI/ML EngineerThe Opportunity:

As a Cybersecurity AI/ML Engineer, you will operate as a hands-on technical contributor and engineering leader responsible for building, scaling, and operationalizing AI/ML systems that power Booz Allen's Cyber Operations teams. This role emphasizes production engineering and platform delivery, turning models, security telemetry, and analyst workflows into reliable, low-latency, observable services and pipelines that measurably improve prevention, detection, response, and recovery outcomes.

You will bridge ML engineering and security operations by translating models, threat models, and analyst needs into production-grade data and feature pipelines, training systems, inference services, and monitoring frameworks deployed across cloud, network, endpoint, identity, and application telemetry domains. You will originate, facilitate, and lead cross-functional efforts to mature AI-enabled cybersecurity capabilities, including real-time detection inference at scale, alert triage automation, LLM and agentic analyst tooling, and SOC platform integrations while guiding teams through MLSecOps, secure-AI engineering, and responsible AI practices.

Perform code and architecture reviews, provide technical direction for complex ML systems initiatives, including SIEM, SOAR, and EDR ML integrations, cloud-native ML platforms for security, and GenAI services for analysts, and translate requirements into actionable, measurable implementation plans. Leverage strong software engineering, systems, and communication skills to assess complex security and platform problems, align technical and non-technical stakeholders, and drive decisions to closure in support of Booz Allen Hamilton's critical enterprise infrastructure, go-to-market platforms, and mission operations.

The ideal candidate for our Enterprise Cybersecurity team is technically inclined, intellectually curious, and adaptable, with a strong cyber-defense mind...