AI Systems Architect — Enterprise Intelligence (Aerospace)
$170k - $240kMonarch Space Systems, Inc.
- AI Systems Architect — Enterprise Intelligence (Aerospace)Cleveland, OH (Onsite Strongly Preferred)Full-TimePhased hiring based on investment timing and/or contract awardEnterprise Intelligence (AegisTM)$170,000–$240,000 base + incentive | Potential equity consideration## About the RoleMonarch Space Systems seeks an AI Systems Architect to serve as the principal technical architect of the AegisTM Enterprise Intelligence platform — the institution's governed, AI-enabled operational intelligence framework supporting aerospace and government programs. This role encompasses ProposalAITM (capture acceleration), Integrated Mission IntelligenceTM (IMI, secure customer transparency), and the underlying secure systems architecture. The candidate will define the technical architecture, data governance posture, and AI governance framework that governs all AI-enabled operations across space systems programs. Primary location is Cleveland, Ohio; hybrid may be considered subject to export control and program requirements.## Responsibilities* Architect and evolve the AegisTM enterprise intelligence platform — including core knowledge management, workflow automation, and AI governance infrastructure* Design and maintain ProposalAITM capture acceleration modules — including RFP decomposition, compliance mapping, and technical narrative structuring* Lead development of Integrated Mission IntelligenceTM (IMI) — real-time performance visibility environment for federal customers and prime contractors* Define AI governance frameworks including human-in-the-loop controls, audit logging, version control, and output review protocols* Establish data architecture, security boundaries, and zero-trust access controls across all enterprise intelligence systems* Ensure all AI-enabled systems comply with applicable ITAR/EAR, CUI, and federal data handling requirements for aerospace programs* Collaborate with executive leadership to align AI capabilities with institutional strategy and customer requirements* Partner with the Chief Enterprise Intelligence Officer on technology roadmap development and governance framework evolution* Lead AI system performance monitoring, bias assessment, and continuous improvement processes## Requirements* Bachelor's or Master's degree in Computer Science, AI/ML, Systems Engineering, or related field* 8+ years of experience in AI/ML systems architecture, enterprise software, or advanced analytics* Demonstrated experience designing governed AI systems with human-in-the-loop oversight* Strong background in data security, zero-trust architecture, and role-based access control* Understanding of federal data handling requirements including CUI, CMMC, and ITAR/EAR implications for AI systems in aerospace* U.S. citizenship required; security clearance eligibility preferred## Preferred Qualifications* Experience with AI systems in aerospace, defense, or government contractor environments* Familiarity with LLM fine-tuning, RAG architectures, and enterprise AI governance frameworks* Experience implementing AI audit logging, version control, and explainability mechanisms* Background in proposal automation, knowledge management, or government program performance analytics for space systemsThis position may require eligibility to access controlled or proprietary information and may be subject to confidentiality and employment agreements, including an NDA and role-specific restrictive covenants, in accordance with applicable laws.## Benefits* Comprehensive health, dental, and vision insurance* 401(k) retirement plan with employer match* Paid time off, federal holidays, and personal leave* Professional development and continuing education support* Downtown Cleveland parking or transit subsidy* Collaborative, mission-driven institutional culture* Incentive compensation and potential equity consideration* Principal-level architectural authority over enterprise intelligence ecosystem
- J-18808-Ljbffr Monarch Space Systems, Inc.
Vacancy posted 3 days ago
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