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Model- Systems Engineer – ARMY

Job in Washington, District of Columbia, 20022, USA
Listing for: Montcure, LLC
Full Time position
Listed on 2026-10-19
Job specializations:
  • Engineering
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 100 - 140 USD Hourly USD 100.00 140.00 HOUR
Job Description & How to Apply Below

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

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 DoValue 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…
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