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Principal Solutions Architect – Expert Services
MendixPrincipal Solution Architect leading enterprise AI solution implementations for Mendix, a low-code app platform. Collaborating with customers for operational modernization and transformation.
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsNeo4j
About the role
Key responsibilities & impact- Lead end-to-end delivery of strategic customer programs from discovery through production deployment and operationalization.
- Serve as the primary technical leader across multiple concurrent enterprise engagements.
- Drive alignment across customer stakeholders, implementation partners, product teams, and engineering organizations.
- Ensure projects are delivered on time, within scope, and aligned with customer business objectives.
- Provide executive-level guidance on AI transformation, enterprise intelligence, and operational modernization initiatives.
- 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.
- Architect enterprise knowledge graph solutions that connect business processes, operational systems, products, data assets, and organizational knowledge.
- Design graph-based semantic data models that support enterprise intelligence, AI reasoning, contextual awareness, and relationship analytics.
- Apply architectural standards for security, governance, scalability, observability, and operational excellence.
- Lead the design and implementation of enterprise knowledge graphs using RapidMiner Graph Studio demonstrating expertise in conceptual modeling, ontology design, graph data management, query and inference techniques, and the engineering practices required to deploy and govern large-scale, production grade knowledge graph systems.
- Establish best practices for performance, governance, scalability, and operational management.
- Enable customers to transform disconnected enterprise data into connected intelligence assets.
- Architect and implement agentic workflows that automate complex business processes and decision-making activities.
- Guide customers in identifying and prioritizing high-value AI use cases.
- Design enterprise intelligence solutions that combine structured and unstructured data using knowledge graphs and AI services.
- Establish governance models for AI agents, knowledge management, data access, and model utilization.
- Design graph-powered retrieval and contextual reasoning architectures that improve the effectiveness of enterprise AI agents.
- Drive adoption of AI-powered automation while ensuring responsible, secure, and compliant implementation practices.
Requirements
What you’ll need- 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.
- Strong understanding of AI, machine learning, generative AI, agentic AI, and enterprise automation platforms.
- Experience with context engineering strategy: what information is loaded, how it is chunked, summarized, ordered, and governed across tools, skills, and knowledge sources.
- Demonstrated success managing executive stakeholder relationships and complex delivery programs.
- Exceptional communication, facilitation, leadership, and consulting skills.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
- Preferred Qualifications
- 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.
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Mendix Website LinkedIn All Job Openings 1001 - 5000 employees Founded 2005 ☁️ SaaS 🏢 Enterprise 🤖 Artificial Intelligence 💰 $25M Series B on 2014-01 SaaS
- Enterprise
- Artificial Intelligence Mendix is a leading enterprise low-code application development platform recognized by Gartner's Magic Quadrant 2024. It allows enterprises to accelerate application development and delivery using AI-enhanced features. Mendix offers a visual IDE called Studio Pro, which simplifies complex tasks and automates routine processes. The platform supports IT governance, compliance, and digital transformation strategies. Mendix helps organizations optimize legacy investment and create exceptional customer experiences across industries like financial services, manufacturing, and retail. It also provides robust integration capabilities and collaboration with strategic partners like AWS and Red Hat. Principal Solutions Architect – Expert Services Job not on LinkedIn 🔥 2 minutes ago 🇺🇸 United States – Remote 💵 $150k - $290k / year ⏰ Full Time 🔴 Lead 💻 Solutions Engineer AWS Azure Cloud Distributed Systems Neo4j Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Lead end-to-end delivery of strategic customer programs from discovery through production deployment and operationalization.
- Serve as the primary technical leader across multiple concurrent enterprise engagements.
- Drive alignment across customer stakeholders, implementation partners, product teams, and engineering organizations.
- Ensure projects are delivered on time, within scope, and aligned with customer business objectives.
- Provide executive-level guidance on AI transformation, enterprise intelligence, and operational modernization initiatives.
- 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.
- Architect enterprise knowledge graph solutions that connect business processes, operational systems, products, data assets, and organizational knowledge.
- Design graph-based semantic data models that support enterprise intelligence, AI reasoning, contextual awareness, and relationship analytics.
- Apply architectural standards for security, governance, scalability, observability, and operational excellence.
- Lead the design and implementation of enterprise knowledge graphs using RapidMiner Graph Studio demonstrating expertise in conceptual modeling, ontology design, graph data management, query and inference techniques, and the engineering practices required to deploy and govern large-scale, production grade knowledge graph systems.
- Establish best practices for performance, governance, scalability, and operational management.
- Enable customers to transform disconnected enterprise data into connected intelligence assets.
- Architect and implement agentic workflows that automate complex business processes and decision-making activities.
- Guide customers in identifying and prioritizing high-value AI use cases.
- Design enterprise intelligence solutions that combine structured and unstructured data using knowledge graphs and AI services.
- Establish governance models for AI agents, knowledge management, data access, and model utilization.
- Design graph-powered retrieval and contextual reasoning architectures that improve the effectiveness of enterprise AI agents.
- Drive adoption of AI-powered automation while ensuring responsible, secure, and compliant implementation practices. 🎯 Requirements
- 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.
- Strong understanding of AI, machine learning, generative AI, agentic AI, and enterprise automation platforms.
- Experience with context engineering strategy: what information is loaded, how it is chunked, summarized, ordered, and governed across tools, skills, and knowledge sources.
- Demonstrated success managing executive stakeholder relationships and complex delivery programs.
- Exceptional communication, facilitation, leadership, and consulting skills.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
- Preferred Qualifications
- 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. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Solution Architect, CLM 🔥 1 hour ago NeuraFlash 201 - 500 🤖 Artificial Intelligence ☁️ SaaS 🤝 B2B Website LinkedIn All Job Openings Solution Architect driving AI-powered transformation projects at NeuraFlash, Part of Accenture. Leading consulting efforts and overseeing deliverables for customer engagements. 🇺🇸 United States – Remote 💵 $94.4k - $266.3k / year ⏰ Full Time 🟠 Senior 🔴 Lead 💻 Solutions Engineer 🦅 H1B Visa Sponsor SDLC Data Solutions Architect 🔥 14 hours ago University of Wisconsin-Madison 10,000+ employees 📚 Education 🏛️ Government Website LinkedIn All Job Openings Senior Data Solutions Architect for Wisconsin Health Data Hub developing a cloud-native data platform for biomedical research and advanced analytics. Leading data integration and governance efforts while ensuring compliance with HIPAA. 🇺🇸 United States – Remote 💵 $120k / year ⏰ Full Time 🟠 Senior 🔴 Lead 💻 Solutions Engineer Cloud Platform Engineer – Client Solutions 🔥 15 hours ago Tensure Consulting 51 - 200 ☁️ SaaS 🏢 Enterprise 🤖 Artificial Intelligence Website LinkedIn All Job Openings Platform Engineer designing cloud infrastructure and engineering solutions for clients in financial services. Collaborating with Sales on technical solutions and supporting client delivery projects. 🇺🇸 United States – Remote 💵 $172.5k - $186k / year ⏰ Full Time 🟠 Senior 🔴 Lead 💻 Solutions Engineer 🦅 H1B Visa Sponsor AWS Azure Cloud Google Cloud Platform Kubernetes Terraform Principal Software Development Engineer, Customer Insight & AI Solutions 🔥 16 hours ago CVS Health 10,000+ employees ⚕️ Healthcare Insurance 🛒 Retail 🧘 Wellness Website LinkedIn All Job Openings Lead software development for CVS Health's innovative digital applications leveraging AI and cloud technology. Collaborate with cross-functional teams to drive high-quality solutions. 🇺🇸 United States – Remote 💵 $144.2k - $288.4k / year ⏰ Full Time 🔴 Lead 💻 Solutions Engineer Angular Cloud Java JavaScript Python React TypeScript Microsoft Dynamics 365 Service Operations Solution Architect 🔥 18 hours ago Ludia Consulting 11 - 50 🤝 B2B 🏢 Enterprise ☁️ SaaS Website LinkedIn All Job Openings Microsoft Dynamics 365 Solution Architect designing and implementing D365 service solutions for diverse industries. Partnering with clients and team to enhance service operation effectiveness. 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 💻 Solutions Engineer Azure View More Solutions Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs
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Hard Skills & Tools
Graph Data ModelingOntology DesignSemantic ArchitecturesGraph Query LanguagesEnterprise Software DeliverySystems IntegrationCloud PlatformsDistributed SystemsAI ServicesKnowledge Graph Implementation
Soft Skills
Exceptional CommunicationLeadershipFacilitationConsulting Skills
Certifications
Relevant Cloud CertificationsArchitecture CertificationsAI CertificationsGraph Technology Certifications