Solutions Engineer

• Shape the future of data systems: Define conceptual specifications that drive the creation, evolution, and optimization of semantic systems, with an emphasis on secure, reliable, and user-friendly data flows;
• Enable seamless transformations: Develop implementation and migration strategies that ensure smooth transitions and long-lasting, sustainable architectures;
• Bring semantic data to life: Configure and maintain triplestore servers (Apache Jena, Virtuoso) and integrate semantic data into business intelligence tools, turning raw information into actionable insights;
• Leverage AI for smarter systems: Design and deploy predictive models, recommendation engines, and LLM-powered semantic reasoning to uncover hidden relationships and patterns in data;
• Build resilient cloud solutions: Develop and manage cloud-based Semantic Web applications (AWS Lambda, Azure Functions, S3/Storage) that are scalable, secure, and high-performing;
• Automate for efficiency and reliability: Apply DevOps and CI/CD practices (Jenkins, GitLab CI/CD, AWS CodePipeline, Azure DevOps) to streamline testing, deployment, and monitoring;
• Ensure peak performance: Monitor, troubleshoot, and optimize Semantic Web systems for speed, reliability, and cost-effectiveness;
• Communicate with impact: Deliver presentations, recommendations, and training that align stakeholders and share knowledge effectively.
• Guarantee continuity: Manage takeover and handover processes, preserving institutional knowledge and ensuring smooth transitions.

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Semantic AI & Cloud Solutions Engineer