Principal AI, Knowledge Graph Architect

🔥 0 minutes ago

🏛️ District of Columbia, New Jersey, +2 more states – Remote

🏛️ District of Columbia – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🤠 Texas – Remote

💵 $150k - $180k / year

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

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ASME (The American Society of Mechanical Engineers)

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1880

📚 Education

Engineering • Education • Standards

ASME (The American Society of Mechanical Engineers) is a professional organization focused on promoting the art, science, and practices of multidisciplinary engineering and allied sciences globally. Established in 1880, ASME provides resources such as standards, certifications, learning and development programs, and hosts conferences and events to support engineers and advance the field of mechanical engineering. With over 75,000 members in more than 130 countries, ASME strives to address workforce gaps and foster innovation in engineering through educational courses and community engagement.

📋 Description

• Define and own the multi-year strategy and roadmap for ASME’s Digital Engineering Knowledge Platform • Drive integration of ASME standards intelligence into CAD/CAE, PLM, MBSE, digital twins, and AI-powered engineering ecosystems • Establish a unified digital platform connecting standards, learning, journals, technical content, APIs, and AI-enabled services • Operationalize interoperability protocols and frameworks including MCP, ACP, semantic interoperability standards, and AI orchestration technologies • Define ASME’s domain-specific AI architecture strategy integrating SLMs, LLMs, RAG pipelines, vector databases, and semantic retrieval frameworks • Lead architecture for automated compliance validation, AI-assisted engineering workflows, intelligent standards retrieval, CAD/PLM/MBSE integrations, and AI agents • Define Human-in-the-Loop validation frameworks for 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 • Serve as ASME’s 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 ASME intellectual property • Collaborate with SMEs, Standards leadership, Enterprise Architecture, Legal, Product, and Technology teams • Translate complex AI, semantic, and graph concepts into executive guidance, board-ready communication, and strategic recommendations • Contribute to future-state digital platform strategy, including monetization, APIs, machine-accessible delivery, and multi-SDO interoperability

🎯 Requirements

• Demonstrated expertise 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: 8+ years of experience in Enterprise Architecture, AI/ML Systems Architecture, Knowledge Graphs & Semantic Technologies, Data & Information Architecture, or 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 • Periodic business travel required • Ability to work in a telecommuter arrangement

🏖️ Benefits

• Telecommuter work arrangement • Periodic business travel • Inclusive workplace environment • Equal employment opportunity and non-discrimination • Training and development opportunities • Annual base salary varies based on geographic location