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Booz Allen

Booz Allen

Global consulting in strategy, technology, engineering

AI Solution Architect

Full-TimeDeadline 12/1/26
$99k - $225k/yr
Mid, Senior
Bachelor's, Master's
Atlanta, GA, USA
In Person

About the job

Requirements
  • Experience integrating artificial intelligence capabilities into business processes, workflows, or production software applications.
  • Experience with artificial-intelligence-assisted development tooling, including GitHub Copilot, Copilot CLI, Codex, or Claude Code.
  • Experience with GitHub Actions for continuous integration and continuous delivery, workflow automation, or pipeline orchestration.
  • Experience developing in Node.js, .NET, or SQL.
  • Experience designing scaffolding, harnesses, or orchestration layers that allow artificial intelligence tools to operate reliably within an existing engineering or business environment.
  • Knowledge of artificial intelligence solution architecture patterns, including prompt design, retrieval-augmented generation, tool calling, and agentic workflows.
  • Knowledge of secure software development practices, version control, and code review processes in a team setting.
  • Ability to translate client business problems into implementable artificial intelligence solution designs, work without considerable direction, develop innovative solutions to complex problems, and mentor or supervise team members.
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
  • A Bachelor's degree and 5+ years of experience in software engineering, artificial intelligence/machine learning integration, or solution architecture, or a Master's degree and 3+ years of experience in software engineering, artificial intelligence/machine learning integration, or solution architecture.
Responsibilities
  • Design and implement effective artificial intelligence solution architecture or strategy using various artificial intelligence technologies and methods to address clients' business problems and needs while complying with organizational strategies, business goals, and key ethical considerations.
  • Apply advanced consulting skills or extensive technical expertise and full industry knowledge.
  • Develop innovative solutions to complex problems.
  • Work without considerable direction.
  • Mentor and may supervise team members.
Desired Qualifications
  • Experience with Azure AI Foundry, including model deployment, evaluation, agent development, or content safety configuration.
  • Experience with agent frameworks and protocols, including Model Context Protocol, Semantic Kernel, LangChain, or AutoGen.
  • Experience with consulting or client-facing delivery in a federal or public sector environment.
  • Knowledge of Azure cloud services, containerization, and infrastructure-as-code.
  • Knowledge of artificial intelligence governance and risk frameworks, including the NIST AI Risk Management Framework.
  • Knowledge of evaluation methods for artificial-intelligence-generated code and output quality, including benchmarking and regression testing.
  • Ability to lead technical workshops and communicate solution trade-offs to both technical and non-technical stakeholders.
  • Ability to assess artificial intelligence tooling options and produce recommendations aligned to client budget, security posture, and mission goals.
  • A Master's degree in Computer Science, Software Engineering, Data Science, or a related field.
  • Microsoft Certified: Azure AI Engineer Associate (AI-102), Azure Solutions Architect Expert, GitHub Actions, or GitHub Copilot Certification.

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

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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.

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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.