13 ontology systems engineer jobs found

Basic Qualifications Bachelor's degree in Systems Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus a minimum of 6 years of relevant experience. CLEARANCE REQUIREMENTS: : Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities for this Position What You'll Own Enterprise knowledge architecture. Define and maintain the overarching structure that connects domain-specific ontologies across pods. Manage the relationships between business vocabularies, taxonomies, and data models at the enterprise level. Cross-domain consistency. Ensure that business...

Basic Qualifications Bachelor's degree in Systems Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus a minimum of 6 years of relevant experience. CLEARANCE REQUIREMENTS: : Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities for this Position What You'll Own Enterprise knowledge architecture. Define and maintain the overarching structure that connects domain-specific ontologies across pods. Manage the relationships between business vocabularies, taxonomies, and data models at the enterprise level. Cross-domain consistency. Ensure that business...

Basic Qualifications Bachelor's degree in Systems Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus a minimum of 6 years of relevant experience. Responsibilities for this Position What You'll Own Enterprise knowledge architecture. Define and maintain the overarching structure that connects domain-specific ontologies across pods. Manage the relationships between business vocabularies, taxonomies, and data models at the enterprise level. Cross-domain consistency. Ensure that business concepts defined in one pod are compatible with concepts in other pods. Resolve naming conflicts, semantic overlaps, and definitional inconsistencies before they become integration problems. Metadata and tagging standards. Establish enterprise-wide standards for metadata, tagging, classification, and search structures. Build the knowledge infrastructure...

Description: Join Lockheed Martin’s digital transformation journey as we accelerate change by responsibly embracing AI and OneLM Mission-Driven Transformation. The Advanced Solutions team within the Data & AI Enablement Org is seeking an AI/ML Full Stack engineer or an accomplished full stack engineer looking to grow into an AI/ML engineer, to support the AI Strategy Acceleration portfolio. Teams within the portfolio focus on standardized agentic development, and ontology generation that enables semantic data discovery, reasoning, and information retrieval. The AI Strategy Acceleration Portfolio provides solutions and capabilities that underpin all AI solutions within the Advanced Solutions Division. In addition to tackling development work the team will conduct experimental work for the exploration of cutting-edge technologies. We are committed to fostering a culture of innovation, and we're looking for an individual who shares our passion for using technology to drive...

Description: Join Lockheed Martin’s digital transformation journey as we accelerate change by responsibly embracing AI and OneLM Mission-Driven Transformation. The Advanced Solutions team within the Data & AI Enablement Org is seeking an AI/ML Full Stack engineer or an accomplished full stack engineer looking to grow into an AI/ML engineer, to support the AI Strategy Acceleration portfolio. Teams within the portfolio focus on standardized agentic development, and ontology generation that enables semantic data discovery, reasoning, and information retrieval. The AI Strategy Acceleration Portfolio provides solutions and capabilities that underpin all AI solutions within the Advanced Solutions Division. In addition to tackling development work the team will conduct experimental work for the exploration of cutting-edge technologies. We are committed to fostering a culture of innovation, and we're looking for an individual who shares our passion for using technology to drive...

Description: Join Lockheed Martin’s digital transformation journey as we accelerate change by responsibly embracing AI and OneLM Mission-Driven Transformation. The Advanced Solutions team within the Data & AI Enablement Org is seeking an AI/ML Full Stack engineer or an accomplished full stack engineer looking to grow into an AI/ML engineer, to support the AI Strategy Acceleration portfolio. Teams within the portfolio focus on standardized agentic development, and ontology generation that enables semantic data discovery, reasoning, and information retrieval. The AI Strategy Acceleration Portfolio provides solutions and capabilities that underpin all AI solutions within the Advanced Solutions Division. In addition to tackling development work the team will conduct experimental work for the exploration of cutting-edge technologies. We are committed to fostering a culture of innovation, and we're looking for an individual who shares our passion for using technology to drive...

Description: Join Lockheed Martin’s digital transformation journey as we accelerate change by responsibly embracing AI and OneLM Mission-Driven Transformation. The Advanced Solutions team within the Data & AI Enablement Org is seeking an AI/ML Full Stack engineer or an accomplished full stack engineer looking to grow into an AI/ML engineer, to support the AI Strategy Acceleration portfolio. Teams within the portfolio focus on standardized agentic development, and ontology generation that enables semantic data discovery, reasoning, and information retrieval. The AI Strategy Acceleration Portfolio provides solutions and capabilities that underpin all AI solutions within the Advanced Solutions Division. In addition to tackling development work the team will conduct experimental work for the exploration of cutting-edge technologies. We are committed to fostering a culture of innovation, and we're looking for an individual who shares our passion for using technology to drive...

Description: We are seeking a Senior AI Data Engineer to support mission-critical, classified programs. This role involves designing and maintaining secure, scalable data infrastructure that enables advanced AI/ML capabilities in highly controlled environments. The ideal candidate has experience working within classified or regulated systems and understands the unique constraints of secure data engineering, including semantic data modeling and ontology-driven architectures. Key Responsibilities • Design, build, and maintain secure data pipelines for classified AI/ML workloads • Develop data architectures supporting both batch and real-time processing in air-gapped or restricted environments • Design and implement ontology-driven data models to support knowledge representation and reasoning • Develop and query semantic data stores using technologies such as RDF and SPARQL • Collaborate with data scientists, analysts, and mission stakeholders to operationalize AI models and...

Basic Qualifications Bachelor's degree in Systems Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus a minimum of 6 years of relevant experience. Responsibilities for this Position What You'll Own Domain ontologies. Design and maintain semantic schemas that describe key engineering and manufacturing entities — products, BOMs, plants, equipment, processes, work orders — and their relationships across systems. Knowledge graphs. Implement ontologies using semantic web or graph technologies (RDF/OWL/SHACL/SPARQL or property-graph equivalents like Neo4j). Build, query, validate, and tune knowledge graphs in production. Data alignment. Integrate heterogeneous data sources — PLM, ERP, MES, CMMS, QMS, data lakes — into a common vocabulary. Align schemas, code sets, and master data to the ontology so AI services see one coherent picture....

Description SAIC is seeking an experienced Big Data / Parametric Data Engineer to support an Air Force program out of Orlando, FL. (This is an onsite position, with no option for remote work). You must possess an Active Security Clearance to qualify for this position. Job Duties / Responsibilities: Ensure parametric datasets established for supporting training and readiness comply with the Department of the Air Force (DAF) Data Fabric initiatives as well as the DoD Data Strategy, DAF I-Plan, and AFAMS Data Concept Plan. Provision parametric data services for Air Force Training Simulation Centers: Leverage commercial technology to the maximum extent possible and shall align work with the existing DAF Data Fabric initiative, to include the mandatory use of one of the top five big data platforms: Envision, VAULT, ELICSAR, Unified Data Library, and SIGNUS. Test data services for the community to access parametric data addressing an agreed upon Source of Truth (ASoT) Dataset for...

Description: We are seeking a senior‑level AI Data Engineer to design, build, and maintain scalable data pipelines and warehouse solutions that fuel AI/ML initiatives across the organization. The ideal candidate will have a proven track record of delivering enterprise‑grade data platforms, strong expertise with SAP HANA and modern cloud data services, and recent experience in AI/ML models (e.g., data preparation for model training, feature stores, model‑ready data delivery). Key Responsibilities • Design, develop, test and execute data engineering principles such in SAP HANA, BODS. • Design, build, and maintain secure data pipelines for AI/ML workloads • Design and implement ontology-driven data models to support knowledge representation and reasoning • Collaborate with data scientists, analysts, and mission stakeholders to operationalize AI models and knowledge graphs • Implement rigorous data validation, lineage, and governance controls in compliance with security requirements...

Description: Join Lockheed Martin’s digital transformation journey as we accelerate change by responsibly embracing AI and OneLM Mission-Driven Transformation. The Advanced Solutions team within the Data & AI Enablement Org is seeking an AI/ML engineer to support the AI Strategy Acceleration portfolio. Teams within the portfolio focus on standardized and accelerated agentic development and ontology generation that enables semantic data discovery, reasoning, and information retrieval. The AI Strategy Acceleration Portfolio provides solutions and capabilities that underpin all AI solutions within the Advanced Solutions Division. In addition to tackling development work the team will help facilitate training and the exploration of cutting-edge technologies. We are committed to fostering a culture of innovation, and we're looking for an individual who shares our passion for using technology to drive positive change. What You Will Be Doing: In this role, you will work closely...

Description: We are seeking a Senior AI Data Engineer to support mission-critical, classified programs. This role involves designing and maintaining secure, scalable data infrastructure that enables advanced AI/ML capabilities in highly controlled environments. The ideal candidate has experience working within classified or regulated systems and understands the unique constraints of secure data engineering, including semantic data modeling and ontology-driven architectures. Key Responsibilities • Design, build, and maintain secure data pipelines for classified AI/ML workloads • Develop data architectures supporting both batch and real-time processing in air-gapped or restricted environments • Design and implement ontology-driven data models to support knowledge representation and reasoning • Develop and query semantic data stores using technologies such as RDF and SPARQL • Collaborate with data scientists, analysts, and mission stakeholders to operationalize AI models and...