B

Booz Allen

Builds AI and cyber systems for the US government

Agentic AI Security Engineer Lead

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeMcLean, VA, USA$99k - $225k /yrIn-person

About the Job

Requirements

  • At least 8 years of experience in software engineering or AI/ML engineering, including developing and deploying AI/ML systems.
  • Experience developing in Python and applying software engineering practices, including Git, automated testing, code review, and dependency management.
  • Experience building applications using large language models, including tool use, retrieval augmented generation, and agent orchestration.
  • Experience designing or evaluating system architectures involving APIs, data pipelines, model services, and enterprise integrations.
  • Experience applying cybersecurity principles to software or AI systems, including identity and access management, trust boundaries, secure data handling, and threat modeling.
  • Experience with traditional machine learning approaches and algorithms and their applications to cybersecurity.
  • Knowledge of NIST security and risk management frameworks, including SP 800-53 and the AI Risk Management Framework, and Zero Trust Architecture principles, including identity-based access, least privilege, and continuous verification.
  • Knowledge of AI-specific security risks and approaches for evaluating and mitigating vulnerabilities in generative AI and agentic systems.
  • Ability to obtain a Secret clearance.
  • Bachelor’s degree in Computer Science, Mathematics, Engineering, or Cybersecurity.

Responsibilities

  • Design and validate secure architectures for generative AI applications, AI agents, and multi-agent systems, including model access, orchestration, tool execution, memory, and retrieval augmented generation.
  • Develop prototypes and reference implementations to demonstrate security controls and evaluate architectural tradeoffs.
  • Assess AI systems for risks such as prompt injection, sensitive data exposure, excessive permissions, unsafe tool execution, and compromised integrations.
  • Design and implement controls for agent identity, least privilege access, execution isolation, tool authorization, data protection, and human approval of consequential actions.
  • Develop architecture diagrams, data flow diagrams, trust boundary models, and technical documentation that explain system behavior, control placement, and implementation requirements.
  • Establish evaluation and monitoring approaches for agent behavior, security, reliability, and policy compliance, including traceability across model interactions and tool calls.
  • Translate security and governance requirements into engineering practices, including testing, version control, change management, audit trails, and rollback procedures.
  • Evaluate emerging models, agent frameworks, integration protocols, and security tools, and communicate findings and recommendations to technical and non-technical audiences.
  • Provide day-to-day technical leadership to engineers.
  • Conduct design reviews, guide architectural decisions, and raise the overall technical bar of the team.

Desired Qualifications

  • Experience developing agentic AI applications using frameworks or platforms such as Strands Agents, LangGraph, Amazon Bedrock, GraphRAG, or comparable technologies, including integrating agents with workflow orchestration tools such as Temporal.
  • Experience securing tool integrations using Model Context Protocol or other agent communication and integration mechanisms.
  • Experience conducting AI red teaming, adversarial testing, or automated security evaluations of models and agentic workflows.
  • Experience implementing AI gateways, policy enforcement, execution sandboxes, agent observability, or human-in-the-loop controls.
  • Experience deploying AI applications in cloud or on-premises environments using containers, CI/CD pipelines, and Infrastructure-as-Code.
  • Experience with model training, fine-tuning, evaluation, or serving using frameworks such as PyTorch or comparable technologies.
  • Experience with distributed computing, data engineering, feature pipelines, or relational and vector databases.
  • Experience applying NIST guidance and Zero Trust Architecture principles to AI systems, and translating security requirements into architectural controls, implementation patterns, and assessment evidence.
  • TS/SCI clearance.

About the Company

Booz Allen

Builds AI and cyber systems for the US government

Booz Allen builds and runs technology for the U.S. government, mostly for the military and intelligence agencies, and its engineers work alongside consultants who know each agency's mission. In 1958, it helped the U.S. Navy create PERT, a project-scheduling method first used on the Polaris submarine missile program and later adopted across government and industry. Its teams design cyber defenses, AI and data tools, and battlefield communications, and it sells its own products, such as Vellox, a suite of AI tools that spot and fight off hackers. Agencies pay mainly through multi-year contracts that reimburse costs, bill hours, or set a fixed price. Booz Allen was founded in 1914 and is based in McLean, Virginia.

Company size
11-50
Company stage
IPO
Headquarters
McLean, VA
Founded
1914

Recently Posted Jobs

Explore more opportunities at Booz Allen

See more jobs