Model-Based Systems Engineer – ARMY

Montcure LLC; Washington; Hybrid; USD 152,000 - 193,000; Part time

Job summary

Montcure, LLC seeks a senior MBSE lead to drive AI-enabled decision-support for defense programs. You will own the value model, flip-point calculations, and ensure traceability from requirements to decisions.

The role emphasizes rigorous, auditable methods and exposure to SysML v2, Cameo/Capella, and knowledge graphs. Part-time, hybrid in the US.

Qualifications

• Degree in Decision Analysis, Systems Engineering, Operations Research, or a closely related field.
• 7+ years of experience leading Army or DoD trade studies, AoA, or milestone decision support.
• Hands-on MBSE experience with SysML in Cameo or Capella.
• Expert-level knowledge of multi-criteria decision analysis, including value modeling and sensitivity analysis.
• Strong technical writing and briefing skills; able to defend a method and its results to senior leadership.
• Relevant certification in AI, Systems engineering or software development.

Responsibilities

• Lead value modeling and flip-point method development for decision support.
• Integrate SysML v2 models and MBSE tooling into the analysis framework.
• Design domain ontology and knowledge graphs for decision modeling.
• Map engineering requirements and constraints to decision-model elements for traceability.
• Define how decision results flow back to MBSE tools and enterprise systems.

Skills

Army/DoD trade studies

MBSE with SysML

Multi-criteria decision analysis

Technical writing & briefing

AI or software certs

Education

Degree in Decision Analysis / Systems Engineering / OR

Tools

Cameo

Capella

SysML v2

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Model-Based Systems Engineer – ARMY

Part Time RMT-Hybrid, US

4 days ago Requisition ID: 1173

Model-Based Systems Engineer – ARMY

Employment Type: Part-Time

Clearance : Secret

Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment.

About the Role

The Decision Analysis and Model-Based Systems Engineering (MBSE) Lead provides senior technical leadership for an AI-enabled decision-support capability that helps defense engineering and acquisition organizations make faster, more defensible trade-study and program decisions. The Lead owns the analytical method behind every decision: the value model, the sensitivity method that shows exactly what would change a recommendation, integration with SysML v2 engineering models, and technical review of every decision package before it reaches a decision maker. This role suits a practitioner who has led real Army or DoD trade studies and wants to make decision analysis rigorous, reproducible and auditable at scale.

What You'll Do

Value Modeling & Flip-Point Method

• Design the value model using multi-attribute value theory and value-focused thinking, with criteria weights elicited before options are scored to reduce anchoring.
• Develop and maintain the flip-point method: for every weight, score, range, assumption and constraint, compute the break-even value at which the leading option changes.
• Define the structure of a decision model, including objectives, options, criteria, constraints, assumptions, risks and bias checks, each with an owner, a pass/fail test and a review date.
• Codify cognitive-bias checks (e.g., anchoring, confirmation, status quo, overconfidence, sunk cost, groupthink, optimism) as testable criteria and set the readiness thresholds a decision must meet before sign -off.
• Specify the questions and checks that AI agents use to elicit and validate decision models, ensuring AI supports the analysis but never computes the decision.

SysML v2 & MBSE Integration

• Lead integration of SysML v2 models through the Systems Modeling API, with UML/XMI as a fallback for legacy models.
• Design the ground-vehicle domain ontology and knowledge graph (RDF/OWL with SHACL validation) that supplies controlled terms and relationships to the analysis.
• Map requirements, parameters and constraints from engineering models to decision-model elements so every decision stays traceable to the engineering baseline.
• Define how decision results flow back to MBSE tools (e.g., Cameo) and to product lifecycle management and enterprise systems.

Required Qualifications

• Degree in Decision Analysis, Systems Engineering, Operations Research, or a closely related field.
• Minimum 7 years of experience leading Army or DoD trade studies, Analyses of Alternatives ( AoA ), or milestone decision support.
• Demonstrated hands-on MBSE experience with SysML in a tool such as Cameo or Capella.
• Expert-level knowledge of multi-criteria decision analysis, including value modeling, weight elicitation and sensitivity analysis.
• Strong technical writing and briefing skills, with the ability to defend a method and its results to senior leadership.
• Relevant certification in AI, Systems engineering or software development.

Preferred Qualifications

• 10+ years of defense systems engineering or decision-analysis experience, including ground-vehicle programs.
• Experience with SysML v2 and the Systems Modeling API.
• Experience with knowledge graphs and semantic modeling (RDF, OWL, SHACL).
• Experience with decision-analysis software or building decision-support tools; familiarity with AI/LLM-enabled workflows.
• Familiarity with the DoD AI Ethical Principles and the NIST AI Risk Management Framework.
• INCOSE CSEP or ESEP certification; active Secret clearance.

Status: Contingency – This work is contingent upon award.

Employment Type: Part-Time

Compensation: $120/ hr

Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law . All employment is decided on the basis of qualifications, merit, and business need .