Secure AI Engineer

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Washington, DC
Salary: $77,600–$176,000 / yr
Employment: Full-time
Posted: 1 day ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $181k

This role $127k

$60k $242k

below market most similar roles pay here above market

This role pays less than 85% of similar roles. Most pay $145,700–$216,075 — the blue band above. At the midpoint, this role pays about $127k versus about $181k 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 1504 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 918 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Secure AI Engineer

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As a Secure AI Engineer, you will join a team dedicated to helping organizations adopt artificial intelligence securely and responsibly. You will advise clients on the secure design, deployment, and governance of generative AI applications and autonomous capabilities. Your daily responsibilities include conducting AI red team assessments against large language models, retrieval-augmented generation systems, and multi-agent workflows. You will identify vulnerabilities like prompt injection, data poisoning, and model inversion while developing technical mitigations to improve system resilience. You will build and evaluate agentic AI systems using modern orchestration frameworks, designing security testing methodologies and automation throughout the development lifecycle. Required skills include experience with LLMs, AI red teaming, and adversarial machine learning. You will utilize tools like LangGraph, CrewAI, and PyRIT while following OWASP and NIST security standards.

Skills

LLMs RAG Agentic AI LangGraph CrewAI AutoGen Semantic Kernel PyRIT Garak Inspect AI OWASP GenAI Adversarial Machine Learning Kubernetes CI/CD Infrastructure-as-Code Vector Databases Penetration Testing Offensive Security MITRE ATLAS

What you'll do

Design secure architectures for AI systems, generative AI applications, and autonomous AI capabilities.
Conduct AI red team assessments against LLMs, RAG systems, and multi-agent workflows.
Identify and demonstrate AI-specific attack vectors like prompt injection, data poisoning, and model inversion.
Develop technical recommendations and mitigations to improve AI system resilience and trustworthiness.
Build, test, and evaluate agentic AI systems using modern orchestration frameworks.
Design security testing methodologies, automation, and tooling throughout the AI development lifecycle.
Adapt and extend open-source AI frameworks and security tools to meet specific client requirements.

What we're looking for

5+ years of experience building, deploying, or evaluating AI/ML systems.
3+ years of experience developing applications using LLMs and modern AI frameworks.
Experience with red teaming AI systems, Adversarial AI, or AI Governance.
Knowledge of AI security principles, secure development practices, attack techniques, and risk management.
Experience with AI red teaming frameworks such as PyRIT, Garak, or OWASP GenAI tools (preferred).
Experience performing security assessments, penetration testing, or offensive security activities (preferred).
Experience with agent orchestration frameworks like LangGraph, CrewAI, or AutoGen (preferred).
Bachelor's degree.

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