Why This Role Stands Out
Lead groundbreaking AI research and development in transforming legacy technical manuals into structured, traceable data, a role perfect for a PhD-level innovator passionate about multimodal document intelligence and NLP. You'll enjoy significant scientific leadership and the flexibility of a hybrid work environment while shaping the future of technical data management. This is an exceptional opportunity to make a substantial impact and advance your career in a cutting-edge field.
Quick Overview
Job Description
Principal Investigator / Principal AI & Technical Data Scientist
Topic Title: Tech Data Interactive Electronic Technical Manuals Convertor
Education: PhD Required
Arch Systems is seeking a Principal Investigator (PI) to lead applied R&D for an AI-enabled technical-data transformation capability that converts heterogeneous legacy technical manuals into structured, standards-compliant, traceable XML/IETM technical data. The PI will lead research spanning multimodal document intelligence, NLP/OCR, semantic reconstruction, canonical technical-data modeling, S1000D/IETM transformation, provenance, AI assurance, and authoritative technical-data retrieval.
Key Responsibilities
· Provide scientific and technical leadership for AI-enabled legacy technical-manual transformation.
· Lead research in multimodal document understanding, OCR/NLP, semantic reconstruction, knowledge representation, and structured technical-data generation.
· Define approaches for converting PDF, scanned, XML/SGML and legacy military technical data into canonical technical objects and target IETM/XML structures.
· Guide S1000D/IETM, XML/XSD, BREX/Schematron, technical-publication and validation architecture.
· Design quantitative feasibility experiments covering extraction accuracy, semantic fidelity, provenance, standards compliance, retrieval accuracy and correction effectiveness.
· Ensure AI-generated candidate interpretations remain evidence-grounded and that authoritative technical output is controlled through deterministic rules, validation and human review.
· Lead technical interaction with Government stakeholders and support SBIR technical reporting, demonstrations, publications and Phase II transition planning.
Required / Preferred Qualifications:
· Ph.D. strongly preferred in Computer Science, AI/ML, NLP, Information Science, Computer/Systems/Electrical Engineering, or related discipline
· 8–15+ years of relevant technical/R&D experience; demonstrated expertise in document AI/NLP and structured technical data; strong Python/AI/ML background; experience with XML and schema-based transformation/validation.
· S1000D, IETM/IETMS, CSDB, BREX, MIL-STD technical data and Navy maintenance/technical-publication experience are highly desirable.
· Previous NAVSEA/NAVAIR/NAWC/NSWC/NAVWAR/ONR or DoD R&D/SBIR PI experience is a major advantage. Relevant patents and peer-reviewed publications are preferred.
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