Mendix

Principal Solutions Architect - Expert Services

United States · Principal

Sponsorship not specified$150k-$290kDetected 12 days ago

AWSAzureCloud PlatformsMachine LearningData ScienceLLMsRAGAgentic AIProduct ManagementProduct StrategyLeadershipCommunicationCollaboration

About the role

In this role, you oversee solution architecture and implementation across complex enterprise engagements.
The ideal candidate possesses deep expertise in graph databases, knowledge graph architectures, semantic data modeling, enterprise integration, and agentic AI.
Acting as a trusted advisor to customer leadership, you help organizations modernize operations through agentic workflows, enterprise intelligence, digital thread initiatives, and AI-powered automation.

Lead end-to-end delivery of strategic customer programs from discovery through production deployment and operationalization.
Drive alignment across customer stakeholders, implementation partners, product teams, and engineering organizations.
Collaborate with product, presales, and delivery teams to translate business use cases into knowledge graph-based architectures, reference implementations, and solution blueprints.
Design scalable enterprise architectures leveraging Intelligence Center X, AI Studio, Mendix, Graph, and cloud-native technologies.
Design graph-based semantic data models that support enterprise intelligence, AI reasoning, contextual awareness, and relationship analytics.

12+ years of experience in enterprise software delivery, solution architecture, consulting, or digital transformation leadership.
5+ years of hands-on experience designing and implementing graph database solutions and enterprise knowledge graphs.
Deep expertise in enterprise architecture, systems integration, cloud platforms, and distributed systems.
Strong experience with graph data modeling, ontology design, semantic architectures, and relationship analytics.
Experience with competitive graph database technologies such as Neo4j, Amazon Neptune, TigerGraph, Stardog, ArangoDB, or similar platforms.
Knowledge of graph query languages, ideally including SPARQL, Cypher, Gremlin, or equivalent technologies.
Experience leading large-scale technology implementations for Fortune 1000 organizations.
Experience with context engineering strategy: what information is loaded, how it is chunked, summarized, ordered, and governed across tools, skills, and knowledge sources.
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
Success is measured by customer outcomes, platform adoption, delivery excellence, and the ability to establish Intelligence Center X as a strategic capability within the emerging agentic enterprise.

Experience in manufacturing and Product Lifecycle Management (PLM), including product structures, bills of materials (BOMs), engineering change management, and digital thread initiatives.
Experience implementing graph-based digital thread, product intelligence, or manufacturing knowledge graph solutions.
Familiarity with semantic web standards, RDF, OWL, linked data, and knowledge representation frameworks.
Experience with cloud platforms including AWS, Azure, or Google Cloud.
Experience implementing Retrieval-Augmented Generation (RAG), agent frameworks, and enterprise AI architectures.
Knowledge of enterprise data governance, master data management, and metadata management practices.
Advanced degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
Relevant cloud, architecture, AI, or graph technology certifications.

Non-Discrimination Provision Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision.

Statement Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace.
All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
EEO is the Law Applicants and employees are protected under Federal law from discrimination.
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icants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital

This listing is sourced directly from Mendix's careers page and normalized into a canonical job model.