--- title: 'Principal Solutions Architect - Expert Services at Mendix' canonical: 'https://feeny.ai/job/principal-solutions-architect-expert-services-mendix-united-states-y766x77mvwjr' type: 'job' last_seen: '2026-09-07' --- # Principal Solutions Architect - Expert Services at Mendix - **Company:** Mendix - **Location:** United States - **Compensation:** $150k–$250k - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-07-09 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.lever.co/mendix/ae71854f-a688-4e05-bfb4-3fda1516a961 ## Job description Intelligence Center X is Siemens' platform for the agentic enterprise The next wave of enterprise software isn't about writing more code — it's about giving organizations the tools to combine trusted data, AI, and applications into systems that can reason and act on their own. Intelligence Center X delivers that today, through five capabilities — an Enterprise Knowledge Graph, AI/ML, agentic application development, orchestration, and governance — that together move enterprises from static software to intelligent, autonomous systems. For the customers we serve, that shift shows up in very concrete ways: engineers and data leaders who can finally find and trust the data buried across decades of enterprise systems; teams that go from idea to working application in days instead of quarters; and AI initiatives that move out of pilot purgatory and into production because the underlying data and governance can actually support them. Whether you're building this platform, proving its value to customers, or bringing it to market through our partner ecosystem, your work directly drives those outcomes for some of the most complex organizations in the world. This is one of the most ambitious enterprise AI platforms in the market — built on decades of deep domain expertise across industries as varied as manufacturing, banking, insurance, financial services, and healthcare, and already running in production at real scale for organizations with some of the most demanding data and compliance requirements in the world. If you want to work at the intersection of enterprise AI, knowledge graphs, and agentic applications — with real customers and real production stakes, across nearly every major industry — this is where that work is happening. Principal Solution Architect, Expert Services Position Summary As a Principal Solution Architect and Technical Lead, you serve as the senior technical advisor responsible for guiding enterprise customers through the successful implementation, adoption, and optimization of Intelligence Center X, an agentic AI platform. Partnering closely with customer executives, program stakeholders, and business audiences, you lead the delivery of transformative AI-powered solutions that drive measurable business outcomes. In this role, you oversee solution architecture and implementation across complex enterprise engagements. You translate business objectives into scalable, secure, and integrated solutions leveraging Intelligence Center X, AI Studio, Mendix, Graph, and enterprise knowledge graph technologies while ensuring alignment with enterprise architecture standards, operational requirements, and organizational change initiatives. The ideal candidate possesses deep expertise in graph databases, knowledge graph architectures, semantic data modeling, enterprise integration, and agentic AI. You will help customers build intelligent enterprises by connecting people, processes, products, systems, and data through graph-powered enterprise intelligence and AI-driven automation. You provide leadership throughout the delivery lifecycle, including discovery, solution design, implementation oversight, adoption planning, and value realization. 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. 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. ## Key Responsibilities Delivery Leadership 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. Solution Architecture 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. Graph Databases and Enterprise Knowledge Graphs 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. Agentic AI and Enterprise Intelligence 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. Required Qualifications 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. Success Metrics Successful delivery of strategic enterprise programs and customer transformation initiatives. Customer adoption and expansion of Intelligence Center X and related platform capabilities. Measurable business outcomes achieved through AI, automation, and enterprise intelligence solutions. Successful deployment and operationalization of enterprise knowledge graph capabilities. Executive stakeholder satisfaction and customer advocacy. Development of reusable implementation assets, architectural frameworks, and best practices. Contribution to platform innovation, product strategy, and continuous improvement. ## About Mendix ## Company Overview - **One-liner**: Mendix provides a leading low-code application development platform that enables enterprises to build and deploy custom software applications rapidly, bridging the gap between business and IT. - **Entity Type**: Private (subsidiary of Siemens AG) - **Headquarters**: Rotterdam, Netherlands (Global HQ) & Boston, Massachusetts, USA (US HQ) - **Founded**: 2005 - **Founders**: Derek Roos, Roald Kruit, Arno Burggraaf ## Core Business - **Primary Industry**: Enterprise Software / Low-Code Application Development Platform - **Target Customers**: Large enterprises, Independent Software Vendors (ISVs), and SMBs across various sectors (manufacturing, logistics, finance, etc.). Primarily B2B. - **Mission**: To continuously evolve and empower companies to take control of their digital journey by providing the tools, resources, and services necessary for faster and better software development. As part of Siemens' Intelligence Center X, the goal is to enable a hybrid workforce where people and AI agents work together. ## Products & Services - **Mendix Platform (Low-Code)**: The core product; a visual, model-driven development environment that allows users to build web and mobile applications with drag-and-drop functionality, pre-built components, and full-stack capabilities. Includes features for collaboration, AI-assisted development (AI Studio), and lifecycle management. - **Mendix for Private Cloud**: A dedicated, single-tenant deployment option for customers with strict security, compliance, or data residency requirements. - **Mendix Cloud**: The public cloud offering, providing a resilient, scalable, and secure hosting environment managed by Mendix. - **Marketplace**: A curated library of pre-built connectors, modules, widgets, and templates to accelerate development. - **Mendix Academy**: A comprehensive suite of training materials, learning paths, and certification programs to upskill developers and business users. - **Graph Studio**: A tool for modeling and managing business domain models, data, and knowledge graphs, enabling a shared context for applications and AI agents. ## Market Standing - **Valuation/Market Cap**: Not publicly available (Subsidiary of Siemens AG; acquisition price was ~$700M in 2018). - **Key Metric (Funding & Revenue)**: Acquired by Siemens in 2018 for approximately €600 million ($700 million). Annual revenue is not publicly disclosed, but the company operates as a key growth engine within Siemens' Digital Industries software division. - **Notable Investors/Partners**: Siemens AG (parent company); Strategic partners include Amazon Web Services (AWS). - **Growth Signals**: - **Headcount**: Grew to over 1,100 employees in 2020 and now has over 1,400 employees globally, indicating strong post-acquisition growth. - **Industry Recognition**: Named a 9x leader in the Gartner® Magic Quadrant™ for Low-Code Application Development (2025). - **Product & Market Expansion**: Expanded into India, Australia, Singapore, and China in the last few years. - **Siemens Integration**: Became a core component of Siemens' new "Intelligence Center X" in 2026, positioning it at the center of Siemens' industrial AI and agentic software strategy. ## Competitive Advantages - **Enterprise Focus & Backing**: Unlike many low-code platforms, Mendix is built for complex enterprise needs (security, scalability, governance) and is backed by the financial and industrial clout of Siemens (a $100B+ technology conglomerate). - **“Two-Speed IT” / Citizen Developer Enablement**: Allows professional developers to build at high speed while enabling "citizen developers" (business users) to co-create applications, bridging the IT-business gap effectively. - **Platform Maturity & Ecosystem**: 20 years of development have resulted in a mature, feature-rich platform with a large marketplace and strong partner network. - **Integration with Siemens Xcelerator**: Deep integration with Siemens' industrial software portfolio (digital twins, PLM, MES) provides a unique value proposition in the manufacturing and engineering space. ## Strategic Focus - **Agentic Enterprise**: The primary focus is on enabling the "agentic enterprise" through Siemens' Intelligence Center X. Mendix is being used to build applications where AI agents and human workers collaborate with shared context and orchestration. - **AI-Powered Development**: Deepening the integration of AI/ML into the development platform itself (e.g., AI Studio) to automate testing, code generation, and data modeling. - **Low-Code for Everything**: Expanding the use of low-code into new domains like engineering, manufacturing, supply chain, and quality management, not just traditional business apps. - **Global Expansion**: Continuing to grow its presence, particularly in the Asia-Pacific region. ## Why Work Here - **Innovation & Impact**: Work on a cutting-edge, industry-leading platform that is central to Siemens' digitalization strategy. Employees have a direct impact on how enterprises of all sizes solve real-world problems. - **Career Growth**: As a growing subsidiary of a global powerhouse, there are ample opportunities for internal mobility, skill development, and career progression across both Mendix and Siemens. - **Hybrid & Flexible Culture**: Mendix offers a hybrid working model where employees can choose to work remotely, from one of their offices, or a mix of both. Flexible paid time off is also a standard benefit. - **Global Team**: Join a diverse team of over 1,400 people across offices in Rotterdam, Boston, London, Frankfurt, Singapore, and more. - **Generous Benefits Package**: Includes competitive benefits such as medical, dental, vision coverage, 401k matching (US), wellness benefits, and Siemens employee discounts. - **Inclusivity**: The company is explicitly focused on hiring from diverse backgrounds to create products that serve a global audience. ## Sources 1. [mendix.com (Company Page)](https://www.mendix.com/company/) 2. [mendix.com (Careers Page)](https://www.mendix.com/careers/) 3. [jobs.lever.co (Mendix Careers)](https://jobs.lever.co/mendix) 4. 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