ASME is seeking a
Principal AI & Knowledge Graph Architect to join our Information Technology team. The
Principal AI & Knowledge Graph Architect will be responsible for leading ASME's technical transformation of engineering standards into intelligent, machine-interpretable digital assets. This role combines expertise across AI systems architecture, knowledge engineering, ontology design, graph technologies, and enterprise-scale digital transformation. It requires balancing innovation with governance ensuring ASME's retention of authority, traceability, and control over the digital meaning of its intellectual property.
Key responsibilities include:Knowledge Graph & Digital Asset Architecture - Define and own the multi-year strategy and roadmap for ASME's Digital Engineering Knowledge Platform.
- Drive the integration of ASME 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 ASME's 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:
- Automated compliance validation
- AI-assisted engineering workflows
- Intelligent standards retrieval
- CAD/PLM/MBSE integrations
- 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 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 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:
- Enterprise Architecture
- AI/ML Systems Architecture
- Knowledge Graphs & Semantic Technologies
- Data & Information Architecture
- 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.
This role is eligible for telecommuter work arrangement. Periodic business travel will be required, including but not limited to ASME Offices which are currently located in NYC (headquarters), NJ, DC, TX.
Annual base salary may vary based on geographic location. The New York City Metro salary range for this position is estimated to be between $150,000 - $180,000 per year.
Only those candidates selected for further consideration will be contacted.
