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Booz Allen

Booz Allen

Global consulting in strategy, technology, engineering

Agentic AI Engineer

Full-TimeDeadline 10/31/26
$112.8k - $257k/yr
Senior
Bachelor's
McLean, VA, USA
In Person
No H1B Sponsorship
US Top Secret Clearance Required

About the job

Requirements
  • At least 6 years of experience in software development.
  • At least 3 years of experience working in cloud environments, including AWS and Azure, evaluating architectural tradeoffs, designing robust service-based software applications for scalable use, and using LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, or LlamaIndex.
  • Experience with Model Context Protocol for tool integration, Agent-to-Agent for collaboration, retrieval-augmented generation architecture and knowledge graphs, memory architectures for long-running agents such as episodic, semantic, and working memory patterns, and agent benchmarking frameworks such as GAIA, SWE-bench, or custom evaluation harnesses.
  • Experience with tool or function calling patterns across multiple large language model providers.
  • Experience fine-tuning large language models or small language models.
  • Knowledge of modern software design patterns, including microservice design or edge computing.
  • Ability to translate agentic AI capabilities into practical enterprise workflows, bridging technical implementation and business process adoption.
  • Ability to adapt in a rapidly changing environment and navigate ambiguity.
  • Ability to obtain a Secret clearance.
  • Bachelor's degree in Computer Science or Computer Engineering.
Responsibilities
  • Embed agentic artificial intelligence capabilities into existing enterprise systems and operational workflows, including API integration, process automation, and end-user adoption.
  • Design and implement intelligent agent architectures that can reason, plan, and take actions.
  • Develop and deploy collaborative multi-agent systems using Model Context Protocol and Agent-to-Agent protocols.
  • Build advanced retrieval-augmented generation pipelines integrating unstructured data with knowledge graphs to enhance reasoning accuracy and context retention.
  • Fine-tune small language models for specific domains and optimize them for edge device performance.
  • Lead and energize a development team focused on new tools and techniques for deploying agentic artificial intelligence solutions into production and enterprise environments.
Desired Qualifications
  • Experience deploying agentic systems in a production environment.
  • Experience deploying agents on edge devices such as Android or local models.
  • Experience integrating coding agents such as Cursor or Windsurf into an efficient development pipeline with measured results.
  • Experience with programming, including machine learning frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM.
  • Experience engineering artificial intelligence capabilities in on-premises or multi-classification environments.
  • Excellent verbal and written communication skills for client engagements, client-facing project work, and business development.

About the company

Booz Allen Hamilton helps government agencies, corporations, and non-profits solve complex technical and strategic problems through strategy, technology, and engineering consulting. Its strengths include cybersecurity, data analytics, and digital transformation for defense, intelligence, and civil sectors. It delivers services via long-term contracts, project-based work, and recurring engagements, blending domain expertise with advanced tech. Its goal is to help clients anticipate threats, optimize operations, and transform organizations in a collaborative, inclusive environment.

Company Size

10,001+

Company Stage

IPO

Headquarters

McLean, Virginia

Founded

1914

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Simplify's Take

What believers are saying

  • Q2 fiscal 2026 backlog hit $40 billion; book-to-bill reached 1.7x.
  • August 24, 2026 Ultra acquisition strengthens defense technology and can lift margins.
  • Cyber and national security revenue grew despite civil weakness in Q2 fiscal 2026.

What critics are saying

  • Q2 fiscal 2026 revenue fell 8.1%; civil demand stayed delayed.
  • 2025 layoffs cut 2,500 jobs, signaling further civil restructuring into 2027.
  • If federal agencies shift to in-house AI tools, Booz Allen’s consulting model erodes.

What makes Booz Allen unique

  • Aug. 24, 2026: Ultra Mission Solutions adds encrypted edge-compute and defense software.
  • Booz Allen’s Vellox suite targets autonomous intrusions with deception defenses.
  • Its $40 billion backlog and national-security focus outlast civil procurement swings.

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Benefits

Health Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

Paid Vacation

Professional Development Budget

Remote Work Options

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Yahoo Finance
Sep 14th, 2026
Palantir, Nvidia, Booz Allen restrict Anthropic and OpenAI models over data retention concerns

Palantir Technologies, Nvidia, and Booz Allen Hamilton are restricting use of AI models from Anthropic and OpenAI over data protection concerns, Reuters reported. The companies worry model providers could retain or extract value from sensitive corporate information. Palantir has pressed Anthropic for zero data retention guarantees. Nvidia limits Anthropic's models to less sensitive tasks, favouring its own Nemotron models for proprietary work. Booz Allen has banned staff from using Anthropic's commercial model on cybersecurity projects involving proprietary data. The pushback intensified after Anthropic introduced a 30-day data retention policy in June for its Claude 3.5 model, citing security monitoring needs. Anthropic responded by launching Enterprise Frontier Safeguards, allowing customers to store activity data in their own cloud infrastructure under their encryption keys.

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TechCrunch
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HiddenLayer nabs $100M as enterprises rush to secure their AI deployments | TechCrunch

Security companies are scrambling to build products that can monitor not just agents but also the tools and add-ons they use.

PR Newswire
Sep 2nd, 2026
HiddenLayer raises $100M Series B to secure AI agents and autonomous coding systems

HiddenLayer, an AI security company, has raised $100 million in Series B funding led by Delta-v Capital. Participants include Ten Eleven Ventures, Morgan Stanley, M12, and Booz Allen Ventures. The Austin-based firm secures agentic, generative, and predictive AI applications. It will use the capital to expand its enterprise platform, including Agentic Runtime Security and Agent Harness Security, which protects autonomous coding agents at runtime. HiddenLayer's annual recurring revenue grew more than tenfold, and it signed over 50 new platform customers across sectors including banking, pharmaceuticals, and US defence. The company supports a frontier model provider serving more than 700 million weekly users. HiddenLayer's research team holds 39 granted patents and 65 pending patents in adversarial detection and model protection. The firm recently appointed Mike Gesnaldo as chief revenue officer.

Yahoo Finance
Sep 2nd, 2026
Booz Allen unveils Counter AI defence tool as frontier models achieve fully autonomous network intrusion

Booz Allen Hamilton has released a threat report revealing that advanced AI models can now autonomously execute complete network intrusions without human guidance. The firm tested 18 US and Chinese AI models through its Cyber Weapon Index. The report warns that sophisticated cyberattacks are becoming more accessible as costs and expertise requirements decline. Booz Allen found that coordinated Counter AI defences reduced autonomous attacker success by more than 95% in testing. To address these threats, the company launched Vellox Labs Guile, a Counter AI product designed to disrupt autonomous attacks by manipulating what AI attackers see and trust. The system adapts in real time using frontier AI models to evolve its defences against emerging threats. The report emphasises that entire AI systems, not just individual models, now represent the primary unit of cybersecurity risk.