Senior MBSE Lead - Army AI-Driven Decision Analytics

Montcure, LLC; Washington (District of Columbia); Hybrid; USD 136.000 - 194.000; Teilzeit

Benefits dieser Stelle

Disability accommodation

Part-Time role

Hybrid work

Zusammenfassung

Montcure, LLC is seeking a senior Model-Based Systems Engineer for an AI-enabled decision-support capability within defense engineering. The Lead will own value modeling, MBSE integration and ensure rigorous, auditable analyses for Army trade studies.

The role emphasizes SysML v2 integration, knowledge graphs, and traceability to engineering baselines. A Secret clearance and DoD experience are preferred; employment is part-time with hybrid onsite/remote work in the US.

Qualifikationen

• Degree in Decision Analysis, Systems Engineering, or Operations Research.
• 7+ years leading Army/DoD trade studies.
• MBSE with SysML in Cameo or Capella.
• Expertise in multi-criteria decision analysis.
• Strong writing and briefing skills.
• Certification in AI, SE or software development.

Aufgaben

• Lead MBSE integration and value modeling.
• Develop and maintain the flip-point method.
• Define decision model structures with ownership and reviews.
• Codify cognitive-bias checks and readiness thresholds.
• Specify AI agent queries to support analysis.
• Lead SysML v2 integration and ontology design.
• Map requirements to decision-model elements.
• Ensure traceability to engineering baseline.

Kenntnisse

Value modeling

Decision analysis

MBSE

SysML

Weight elicitation

Sensitivity analysis

Technical writing

Briefings

Ausbildung

Degree in related field

Tools

Cameo

Capella

Systems Modeling API

Jobbeschreibung

Montcure, LLC is seeking a senior Model-Based Systems Engineer for an AI-enabled decision-support capability within defense engineering. The Lead will own value modeling, MBSE integration and ensure rigorous, auditable analyses for Army trade studies.

The role emphasizes SysML v2 integration, knowledge graphs, and traceability to engineering baselines. A Secret clearance and DoD experience are preferred; employment is part-time with hybrid onsite/remote work in the US.