Enterprise Cybersecurity Artificial Intelligence Engineer, Lead

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type
On-site
Location
McLean, VA
Salary
$128,700–$292,000 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $182k
This role $210k
$109k $312k
below market most similar roles pay here above market

This role pays more than 75% of similar roles. Most pay $154,450–$210,350 — the blue band above. At the midpoint, this role pays about $210k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1485 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 899 roles with salary data.

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At a glance

TL;DR · Enterprise Cybersecurity Artificial Intelligence Engineer, Lead

The Enterprise Cybersecurity Artificial Intelligence Engineer, Lead leads the design, strategy, and effectiveness of AI-driven cybersecurity capabilities within a complex enterprise environment. This role involves designing and deploying AI-enabled threat detection, automated response, and anomaly detection technologies while providing architecture guidance and supporting governance forums. The engineer will partner with threat intelligence and security operations teams to build threat-informed protection models and manage secure configurations. Key technical requirements include experience with Splunk or ELK Stack, and configuring technologies like Darktrace, IBM Watson for Cyber Security, or Cylance. Candidates must understand Generative AI, machine learning, deep learning, and programming languages like Python or R. The work focuses on mitigating nation-state actors, malware, and ransomware by integrating AI into security incident handling and risk posture measurement.

What you'll do

  • Lead the design, strategy, and effectiveness of AI-driven cybersecurity capabilities.
  • Design and deploy AI-enabled threat detection, automated response, and anomaly detection technologies.
  • Provide architecture guidance and support governance forums for secure AI configuration management.
  • Build threat-informed AI protection models in partnership with threat intelligence and security operations teams.
  • Drive the adoption of AI-security standards and integrate AI within enterprise security platforms.
  • Conduct technical analysis on threats, incidents, and security considerations tied to AI platforms.
  • Develop and maintain secure configurations across a diverse enterprise IT environment.

What we're looking for

  • U.S. citizenship is required.
  • HS diploma and 7+ years of experience in the cyber industry including cyber identify, detect, and protect solution development and deployment.
  • Bachelor’s degree and 3+ years of experience in the cyber industry including cyber identify, detect, and protect solution development and deployment.
  • Experience developing cyber logging and building queries in Splunk or ELK Stack.
  • Experience configuring and tuning AI-based cybersecurity technologies like Darktrace, IBM Watson for Cyber Security, or Cylance.
  • Knowledge of Generative AI evolution, prompt generation, model differentiators, architecture, and solution design.
  • Knowledge of system, network, application, and security architectures, including AI-based cybersecurity solution delivery.
  • Knowledge of cyber threats, processes, and mitigations through AI technologies.
  • Experience designing, deploying, and maintaining security solutions in enterprise class organizations (preferred).
  • Experience with programming or scripting languages such as Python or R for AI model development and deployment (preferred).
  • Knowledge of SQL language or similar languages for data reporting (preferred).
  • Knowledge of machine learning and deep learning techniques in security (preferred).
  • IT Engineering Certifications (preferred).

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