Model-Based Systems Engineer – ARMY
Montcure, LLC · montcure.com
RMT-HybridHybridLead / Manager7+ yrsPart-time
Subscribers got this job on 16 October 2026.
New jobs reach them at 8 am and 6 pm, 5 days before they open here. Get the next one first
The job in short
Model-based systems engineering lead for Army decision analysis and trade studies.
Details
- Found
- 11 d ago · posted 2026-10-15
- Location as listed
- RMT-Hybrid, US
- Role
- Model-Based Systems Engineer
- Source
- The company’s own careers site
Full description
Model-Based Systems Engineer – ARMY
Location: Hybrid (Washington, DC Metro Area)
Level: Lead / Senior Subject Matter Expert
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.