# PRI Technology - Principal AI & Graph Knowledge Architect

JD_URL: https://www.linkedin.com/jobs/view/4450603843

JD_URL handed to jd-resume-fit-optimizer: https://www.linkedin.com/jobs/view/4450603843

Location/work model: New York City Metropolitan Area

Posted/source timing: 18 hours ago

Caveat: LinkedIn-requested role; salary, travel, work model, and fit caveats should be verified against the captured JD before applying.

## Captured JD

Key responsibilities include: 
 Knowledge Graph & Digital Asset Architecture
 · Define and own the multi-year strategy and roadmap for Digital Engineering Knowledge Platform.
 · Drive the integration of standards intelligence into engineering ecosystems, including CAD/CAE, PLM, MBSE, digital twins, and AI-powered engineering tools.
 · Establish a unified digital platform connecting standards, learning, journals, technical content, APIs, and AI-enabled services.
 · Explore and operationalize emerging interoperability protocols and frameworks, including MCP, ACP, semantic interoperability standards, and AI orchestration technologies.
 · Prioritize enterprise platform capabilities and drive scalable growth across business units, content domains, and external standards ecosystems.

 AI, Semantic Intelligence & Engineering Automation 
 · Define domain-specific AI architecture strategy, including integration of SLMs, LLMs, RAG pipelines, vector databases, and semantic retrieval frameworks.
 · Lead architecture for AI-enabled engineering use cases, including:
 o Automated compliance validation
 o AI-assisted engineering workflows
 o Intelligent standards retrieval
 o CAD/PLM/MBSE integrations
 o AI agent and machine-consumable standards
 · Define Human-in-the-Loop (HITL) validation frameworks to ensure trust, technical fidelity, and explainability.
 · Establish technical guardrails for AI usage, hallucination mitigation, and authoritative engineering interpretation.
 · Partner with vendors and research organizations to evaluate emerging AI and graph technologies.

 Governance, Strategy & Enterprise Leadership 
 · Serve as senior technical authority for digital knowledge architecture and AI-enabled standards transformation.
 · Define governance standards for semantic consistency, relationship integrity, validation workflows, and lifecycle management.
 · Establish architectural and semantic boundaries for external vendors, partners, and AI providers to protect IP and authoritative meaning.
 · Collaborate with SMEs, Standards leadership, Enterprise Architecture, Legal, Product, and Technology teams to align technical transformation with organizational strategy.
 · Translate complex AI, semantic, and graph concepts into executive-level guidance, board-ready communication, and strategic recommendations.
 · Contribute to future-state digital platform strategy, including monetization, APIs, machine-accessible delivery, and multi-SDO interoperability.

 Demonstrated knowledge and expertise across the following areas is required: 
 · Designing enterprise-scale knowledge graphs, ontologies, semantic models, or AI-enabled information platforms.
 · Ability to lead complex technical transformation initiatives involving structured and unstructured data.
 · Experience defining governance and validation frameworks in regulated or technically rigorous domains.
 · Strong understanding of interoperability standards, APIs, and machine-consumable information architectures.
 · Ability to operate as a strategic technical leader across executives, SMEs, technology teams, legal stakeholders, and external partners.
 · Exceptional communication and executive presentation skills.

 Preferred qualifications include: 
 · 8+ years of experience in one or more of the following:
 o Enterprise Architecture
 o AI/ML Systems Architecture
 o Knowledge Graphs & Semantic Technologies
 o Data & Information Architecture
 o Digital Platform Engineering
 · Experience with engineering, manufacturing, industrial, or standards-based domains.
 · Exposure to CAD, PLM, MBSE, simulation, or digital twin ecosystems.
 · Familiarity with graph databases, ontology frameworks, and semantic standards.
 · Experience working with AI vendors, research organizations, or emerging technology ecosystems.

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 Seniority level

 Not Applicable

 Employment type

 Full-time

 Job function

 Information Technology

 Industries

 Engineering Services

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