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Booz Allen

Booz Allen

Global consulting in strategy, technology, engineering

Model Based Systems Engineer

Full-TimeDeadline 11/29/26
$86.9k - $198k/yr
Mid
Bachelor's, Master's
San Diego, CA, USA
In Person
No H1B Sponsorship
US Top Secret Clearance Required

About the job

Requirements
  • 3+ years of experience with MBSE tools, including Cameo Systems Modeler, MagicDraw, and Teamwork Cloud.
  • 3+ years of experience with collaborative Navy modeling environments on NIPR and SIPR, including Naval Integrated Modeling Environment, Naval Digital Engineering Ecosystem, and Teamwork Cloud.
  • 3+ years of experience with modeling languages and methodologies, including Systems Modeling Language, Unified Modeling Language, Unified Architecture Framework and UAF Profile, and Department of Defense Architecture Framework.
  • Experience with MBSE concepts, including generalization, inheritance, redefinition, refactoring, developing structured expressions, and distinguishing between stereotype tags and owned attributes.
  • Experience maintaining models in collaborative environments such as Teamwork Cloud, working with federated architectures and project usages, and transferring models between classified enclaves using DOTS to transfer from NIPR to SIPR.
  • Experience with model verification tools and techniques, including metric suites, validation rules, structured expressions, and Jython scripting.
  • Knowledge of authoritative reference sources, including Joint Capability Areas, Universal Naval and Joint Task Lists, and Joint Common System Functions List, and how they are used in architecture model development.
  • Ability to bridge MBSE capabilities and organizational needs to improve organizational processes and products with MBSE tooling.
  • Secret clearance.
  • Bachelor's degree.
Responsibilities
  • Support the PAE Mission Systems Digital Engineering Lead in steering the development and technical direction of Digital Engineering standards, ontologies, and work products.
  • Apply advanced technical knowledge of MBSE tools, languages, and methodologies to provide insight and recommendations for technical product development.
  • Provide technical oversight and lead development and maintenance of Navy MBSE technical products such as the Base Classifier Library, Integrated Dictionary, Model Verification Tool execution, and Deployable Ready Products.
  • Design MBSE techniques and practices in support of DoD C4I systems across the life cycle.
  • Implement MBSE approaches and tools to help client delivery teams transition to model-based system architectures.
  • Develop skills in SysML, object-oriented systems engineering method, functions-based systems engineering method, and integration while gaining experience in C4I and enterprise networking technologies.
  • Merge system modeling and networking to create robust network system architectures for development, implementation, and sustainment.
  • Work independently with some guidance and review or guide activities of more junior employees.
Desired Qualifications
  • Experience developing architecture models that conform to DoDAF and UAF.
  • Experience with Top Secret Navy modeling environments, including Eden TS Teamwork Cloud.
  • Knowledge of PAE Mission Systems and Chief Engineer organizational processes and procedures, including Engineering Change Requests, Interim Authorization to Test, and Authority to Operate.
  • Knowledge of emerging enterprise architecture frameworks, their purpose and implementation, and how they relate to and impact Navy architectures.
  • Ability to facilitate collaborative Digital Engineering meetings, technical interchanges, and MSBE office hours.
  • Excellent verbal and written communication skills.
  • TS/SCI clearance.
  • Master's degree.
  • OMG-Certified Systems Modeling Language Professional 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%
Yahoo Finance
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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 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
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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.