This role is an early opportunity, expecting to allow remote work up to 100%. Responsibilities Ontology development and refinement for Aeronautics and RMS use cases Design and implement federated query mechanisms across materialized ontologies in Amazon Neptune and virtual knowledge graphs (Ontop) Develop SPARQL queries to address specific competency questions across multiple business domains Configure Neptune instances with appropriate security models in non-production environments Design and deploy data security models and deployment architectures Integrate Generative AI capabilities with ontology structures for query and reasoning Implement iterative ontology refinement based on domain SME feedback Conduct hands-on training sessions on RDF, SPARQL, and Neptune capabilities Define ontology maintenance and change control processes Provide regular status reports and collaborate with engagement management Create production deployment guides and architecture documentation Co-develop solutions with customer data engineering teams Requirements US Citizenship Secret Clearance Experience in data engineering, knowledge representation, or graph databases Deep expertise in Amazon Neptune (or equivalent graph database platforms) Strong proficiency in RDF, OWL, SPARQL, and semantic web technologies Experience designing and implementing enterprise ontologies Hands-on experience with federated query architectures Knowledge of Industrial Ontologies Foundry (IOF) or similar ontology standards Experience with data security model design and IAM configurations in AWS Proven ability to design scalable deployment architectures on AWS Strong communication skills for stakeholder engagement and knowledge transfer Experience working in regulated or defense industry environments Technical Skills Amazon Neptune (configuration, deployment, optimization) RDF/OWL ontology engineering SPARQL query development and optimization Federated query design (Neptune + Ontop) AWS security (IAM, VPC, security groups) Generative AI integration patterns Graph database design patterns Soft Skills Technical leadership and mentoring Customer-facing communication and presentation Knowledge transfer and training delivery Cross-functional collaboration Problem-solving in ambiguous technical domains Stakeholder management across multiple business units Desired Skills Experience with Ontop or similar virtual knowledge graph tools Familiarity with Supply Chain Reference Ontology (SCRO) standards Experience integrating Generative AI with knowledge graphs or ontology systems AWS certifications (Solutions Architect Professional, Database Specialty) Experience with manufacturing or supply chain ontology use cases Prior experience delivering AWS Professional Services engagements Familiarity with aerospace/defense industry data governance requirements About Us For more than 20 years, NewGen Technologies has solved our clients' toughest IT challenges with integrity, security, and outstanding service by delivering both technology and talent. We have helped secure borders, have used artificial intelligence (AI) to fight terror, aided the identification of criminals, and have helped to prevent crime through the introduction of biometrics. Our team of Highly Cleared Specialists have hard-to-find skills and expertise in a wide spectrum of technologies to provide solutions that transform business processes and solve problems of national significance.
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