Senior Solution Architect, Enterprise AI & Knowledge Graphs (Mendix, Graph Studio, AI Studio)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Solution Architect, Enterprise AI & Knowledge Graphs (Mendix, Graph Studio, AI Studio) based in the United States.

In this role, you will lead the architecture and delivery of sophisticated enterprise solutions combining low-code applications, connected data, artificial intelligence, and intelligent workflows. You will play a key technical leadership role, translating complex business challenges into scalable, secure, and practical technology solutions. Working across Mendix, Graph Studio, and AI Studio, you will connect enterprise applications, knowledge graphs, machine learning, and AI capabilities into cohesive architectures. You will remain hands-on by building initial solutions, validating technical approaches, and guiding development teams throughout implementation. You will also work directly with clients and business stakeholders to shape technical strategies and identify opportunities for innovation. This is an exciting opportunity to help establish and expand enterprise AI and knowledge graph capabilities while influencing technical standards and delivery excellence.

• Lead technical discovery and solution architecture for enterprise engagements involving Mendix applications, AI capabilities, and knowledge graph technologies.
• Translate client objectives, business processes, data requirements, and existing system constraints into scalable, secure, and maintainable technical architectures.
• Design and develop initial Graph Studio models and AI Studio pipelines, establishing reusable implementation patterns and reference solutions for future projects.
• Build and manage knowledge graphs using Graph Studio, including onboarding data from ERP, PLM, and SQL sources, designing and extending ontologies, writing SPARQL queries, and optimizing graph deployments.
• Develop and deploy machine learning pipelines and AI agents using AI Studio, AI Hub, and Agent Builder, incorporating appropriate governance, security controls, and operational safeguards.
• Determine the appropriate combination of traditional application logic, workflow automation, machine learning, AI agents, and human decision-making for each business use case.
• Design enterprise integration architectures using REST APIs, events, middleware, and other integration technologies.
• Provide architectural guidance throughout the complete delivery lifecycle, from discovery and design to implementation, deployment, and ongoing support.
• Work closely with developers to review technical implementations, troubleshoot complex challenges, validate architectural decisions, and maintain development standards.
• Ensure solutions incorporate appropriate security, identity and access management, permissions, governance, observability, performance, scalability, and long-term maintainability.
• Collaborate with project managers, clients, and technical stakeholders to identify risks, dependencies, assumptions, and architectural trade-offs.
• Contribute to presales activities, including technical solution design, project estimates, proposals, feasibility assessments, and client discussions.
• Establish reusable architecture patterns, technical standards, implementation guidelines, and best practices across Mendix, Graph Studio, and AI Studio projects.
• Mentor developers and technical team members, strengthening internal expertise and enabling teams to make effective architectural decisions independently.
• Stay informed about developments across the Mendix, Siemens, Altair, enterprise AI, and knowledge graph ecosystems, identifying opportunities to adopt relevant technologies and capabilities.

Requirements

• Significant hands-on experience designing and delivering enterprise software solutions, including leading technical discovery and solution architecture for complex projects.
• Practical project experience with at least two of the following: Graph Studio (formerly Altair Graph Studio or Anzo), AI Studio (formerly Altair RapidMiner), or Agent Builder. Alternatively, completed Siemens partner enablement on these platforms with a demonstrable working solution.
• Strong understanding of knowledge graph fundamentals, particularly RDF, OWL, and SPARQL. Familiarity with SHACL is an advantage.
• Mendix Intermediate Developer certification or higher, with at least one successfully delivered Mendix application. Advanced certification must be obtained within 90 days of joining.
• Ability to design end-to-end enterprise architectures that connect applications, data platforms, AI capabilities, integrations, and business workflows.
• Strong technical understanding of enterprise integration patterns, APIs, data modeling, application architecture, and system interoperability.
• Ability to evaluate when AI, machine learning, agentic capabilities, workflow automation, or conventional application development are most appropriate for a particular business problem.
• Strong understanding of enterprise security, governance, identity management, permissions, scalability, observability, and application maintainability.
• Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts to developers, business leaders, and clients.
• Strong analytical and problem-solving abilities, including the capacity to navigate ambiguity, identify technical risks, and develop practical solutions.
• A hands-on and collaborative leadership style, with the ability to guide development teams, mentor colleagues, and promote consistent architectural standards.
• Ability to work with U.S. clients and teams across U.S. time zones, pass applicable client background checks, and meet the position's U.S. person eligibility requirements.
• Must currently reside in the United States and be legally authorized to work without employer sponsorship.

Preferred qualifications:

• Mendix Advanced or Expert Developer certification, with experience in application design, domain modeling, integrations, security, deployment, and performance optimization.
• Experience integrating enterprise applications through REST APIs, OData, event-driven architectures, middleware, or comparable technologies.
• Experience with RDF-based graph platforms such as Stardog, Ontotext GraphDB, or Amazon Neptune. Knowledge of property graph technologies such as Neo4j, TigerGraph, Cypher, or Gremlin is also beneficial.
• Understanding of modern AI technologies, including large language models (LLMs), retrieval-augmented generation (RAG), AI agents, context engineering, tool utilization, and human-in-the-loop workflows.
• Experience designing or implementing enterprise generative AI, RAG, machine learning, or agentic AI solutions, including Python scripting within pipelines.
• Familiarity with cloud architecture, identity and access management, application security, observability, and enterprise deployment practices.
• Experience with Siemens technologies such as Teamcenter, Opcenter, NX, Polarion, or Insights Hub.
• Knowledge of Snowflake, Databricks, or comparable enterprise data platforms.
• Industry experience in manufacturing, energy and utilities, transportation, engineering, aerospace and defense, life sciences, or other complex enterprise environments.
• Familiarity with PLM, MES, digital thread, digital twin, BOM, engineering change management, manufacturing quality, or asset lifecycle management.
• Previous experience mentoring developers or providing technical leadership across multiple delivery teams.

Benefits

• Salary: Annual base compensation ranging from $160,000 to $190,000, depending on experience and qualifications.
• Healthcare coverage: Comprehensive medical, dental, and vision insurance.
• Additional insurance: Life insurance and supplemental insurance options.
• Disability coverage: Short-term and long-term disability benefits.
• Retirement savings: Access to a 401(k) plan.
• Equity opportunities: Eligibility to participate in company stock or equity programs.
• Paid time off: Paid vacation and sick leave.
• Work flexibility: Fully remote position open to eligible candidates currently residing in the United States.
• Travel: Approximately 10% travel for client engagements, workshops, and company meetings.
• Professional development: Opportunities to expand expertise across enterprise AI, knowledge graphs, low-code development, and emerging technologies.
• Inclusive workplace: Commitment to equal employment opportunities, diversity, and reasonable accommodations throughout the recruitment and employment process.