Accountabilities

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.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

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