MBSE & Digital Threads Engineer

Booz Allen Hamilton; Colorado Springs (CO); On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton is seeking a MBSE & Digital Threads Engineer to join a team delivering next‑generation space and ground systems for government and civil users. You will build digital models spanning concept to lifecycle, harnessing MBSE methods, and applying AI capabilities to accelerate engineering decisions.

Your work will involve creating architectures, interfaces, and technical specifications, while collaborating with government clients and contractor teammates.

Qualifications

• Experience with systems engineering analysis and products on government or mission-critical systems.
• Experience with MBSE with tools such as Cameo, MagicDraw, Sparx EA, DOORS, or IBM Rhapsody used to build specifications, interface definitions, and system architecture.
• Experience supporting systems engineering or program-management function through milestone reviews.
• Knowledge of automation with scripts, code, or low/no-code tools.
• Ability to build working relationships with government clients and contractor teammates.
• Secret clearance.
• Bachelor’s degree in a STEM field.
• Experience extending a digital thread across requirements, architecture, interfaces, design, and verification.
• Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
• Knowledge of Agile methods and DevSecOps tools.
• Knowledge of large language model inference engines or frameworks and how to apply them to MBSE.
• Possession of strong problem-solving skills with an attention to detail.
• Master's degree in a STEM field.
• Industry Certification such as OCSMP, ASEP, GCP, Azure, AWS, or Security+ Certification.

Responsibilities

• Develop and maintain system models, architectures, and related engineering products for government or other mission-critical systems.
• Apply Model-Based Systems Engineering (MBSE) to produce technical specifications, interface control documents, and architecture views that programs can use.
• Support program milestone reviews with clear analysis, consistent artifacts, and answers stakeholders can stand behind.
• Use script, code, or low/no-code automation to remove repetitive work and improve model quality.
• Contribute to the team’s generative AI capabilities for MBSE, connecting engineering models and products with inference workflows, human review, and quality checks.
• Work directly with government clients, teammate contractors, and internal partners so technical decisions stay aligned with program goals.

Skills

Systems engineering analysis

MBSE tools

Milestone reviews

Automation scripting

Client relationships

Security clearance

STEM degree

Education

Bachelor's degree in STEM field

Master's degree in STEM field

Industry certifications (OCSMP/ASEP/Security+)

Tools

OCSMP/ASEP/Security+

Job description

The Opportunity:

Our team supports missions ranging from the Moon to the navigation systems people rely on every day. We define and model the functional breakdown of next-generation space and ground systems that provide positioning, navigation, and timing to military and civil users. We capture the concept of operations of lunar missions. We develop and deliver AI applications, including multi-agent reinforcement learning, that bring precision and speed to our customers’ toughest missions.

Job Number: R0252703

MBSE & Digital Threads Engineer

The Opportunity:

Our team supports missions ranging from the Moon to the navigation systems people rely on every day. We define and model the functional breakdown of next-generation space and ground systems that provide positioning, navigation, and timing to military and civil users. We capture the concept of operations of lunar missions. We develop and deliver AI applications, including multi-agent reinforcement learning, that bring precision and speed to our customers’ toughest missions.

We are looking for a technically competent and intellectually curious teammate to build the digital models that carry a system from concept through the full lifecycle. You will create, connect, and apply interdisciplinary digital models so teams can answer hard engineering questions with evidence, not slides. The work sits at the intersection of systems engineering, architecture, and data including specifications, interfaces, milestone products, and the digital thread that keeps them consistent as the design evolves.

Familiarity with AI and large language models is a real advantage as we change how systems engineering is done for our customers’ mission‑critical systems. You will work with real autonomy, partner across disciplines, and own analysis and products. At the senior end of this role, you will shape the approach, lead work through milestone reviews, and mentor others.

What You’ll Work On:

• Develop and maintain system models, architectures, and related engineering products for government or other mission-critical systems.
• Apply Model-Based Systems Engineering (MBSE) to produce technical specifications, interface control documents, and architecture views that programs can use.
• Support program milestone reviews with clear analysis, consistent artifacts, and answers stakeholders can stand behind.
• Use script, code, or low/no-code automation to remove repetitive work and improve model quality.
• Contribute to the team’s generative AI capabilities for MBSE, connecting engineering models and products with inference workflows, human review, and quality checks.
• Work directly with government clients, teammate contractors, and internal partners so technical decisions stay aligned with program goals.

You Have:

• Experience with systems engineering analysis and products on government or mission-critical systems
• Experience with MBSE with tools such as Cameo, MagicDraw, Sparx EA, DOORS, or IBM Rhapsody used to build specifications, interface definitions, and system architecture
• Experience supporting systems engineering or program-management function through milestone reviews
• Knowledge of automation with scripts, code, or low/no-code tools
• Ability to build working relationships with government clients and contractor teammates
• Secret clearance
• Bachelor’s degree in a STEM field

Nice If You Have:

• Experience extending a digital thread across requirements, architecture, interfaces, design, and verification
• Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud
• Knowledge of Agile methods and DevSecOps tools
• Knowledge of large language model inference engines or frameworks and how to apply them to MBSE
• Possession of strong problem‑solving skills with an attention to detail
• Master's degree in a STEM field
• Industry Certification such as OCSMP, ASEP, GCP, Azure, AWS, or Security+ Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well‑being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in‑person or virtual) is prohibited unless permission is explicitly provided.

Work Model

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership’s expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full‑time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.