Senior Solution Architect, Enterprise AI & Knowledge Graphs
New
J
JobgetherEnterprise software
Fully remote position open to eligible candidates currently residing in the United States., U.S. time zonesFull-TimeSenior
Salary160,000 - 190,000 USD per year
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Job Details
- Required Skills
- Machine LearningRESTful APIs
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 Graph Studio, AI Studio, or Agent Builder, or Siemens partner enablement on these platforms with a demonstrable working solution.
- Strong understanding of knowledge graph fundamentals, particularly RDF, OWL, and SPARQL; SHACL familiarity is an advantage.
- Mendix Intermediate Developer certification or higher and 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 connecting 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 assess when AI, machine learning, agentic capabilities, workflow automation, or conventional application development best fit a business problem.
- Strong understanding of enterprise security, governance, identity management, permissions, scalability, observability, and application maintainability.
- Ability to explain technical concepts to developers, business leaders, and clients and to guide teams and mentor colleagues.
- Ability to work with U.S. clients and teams across U.S. time zones and pass applicable client background checks.
Responsibilities
- 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 system constraints into scalable, secure, maintainable architectures.
- Design and develop Graph Studio models and AI Studio pipelines, establishing reusable implementation patterns and reference solutions.
- Build and manage knowledge graphs using Graph Studio, including onboarding ERP, PLM, and SQL data, extending ontologies, writing SPARQL queries, and optimizing deployments.
- Develop and deploy machine learning pipelines and AI agents using AI Studio, AI Hub, and Agent Builder.
- Design enterprise integration architectures using REST APIs, events, middleware, and other integration technologies.
- Guide delivery from discovery and design through implementation, deployment, and ongoing support; review implementations and troubleshoot technical challenges.
- Collaborate with clients, project managers, and technical stakeholders on risks, dependencies, trade-offs, presales, and proposals.
- Establish architecture patterns and technical standards, and mentor developers and technical team members.
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