AI Data Engineer Sr

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 knowledge graphs Implement rigorous data validation, lineage, and governance controls in compliance with security requirements Manage data ingestion, transformation, and storage across secure platforms, including graph and semantic databases Optimize performance and reliability of large‑scale data systems under constrained environments Enforce data security, access controls, and auditing standards Support deployment and monitoring of AI/ML models in secure production environments Mentor junior engineers and uphold secure coding and engineering best practices Basic Qualifications Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field 5+ years of experience in data engineering, including 2+ years supporting AI/ML systems Preferred experience working in classified, regulated, or highly secure environments Hands‑on experience with semantic technologies, including RDF, OWL, and SPARQL Experience designing and building ontologies, taxonomies, or knowledge graphs Strong proficiency in Python, NiFi, SQL Experience with distributed data processing frameworks (e.g., Spark or similar) Hands‑on experience building ETL/ELT pipelines at scale Familiarity with secure cloud environments (e.g., AWS GovCloud, Azure Government) or on‑prem systems Understanding of data security principles, including encryption, access control, and auditing Experience with containerization technologies (e.g., Docker) and orchestration in restricted environments Desired Skills Active TS/SCI Master's degree in a related technical field Experience with graph databases (e.g., Neptune, Stardog, Blazegraph) Familiarity with real‑time streaming technologies (e.g., Kafka) in classified settings Experience with DoD/IC data platforms and compliance frameworks (e.g., RMF, NIST 800‑53) Exposure to AI/LLM pipelines integrated with semantic layers Prior experience supporting defense, intelligence, or federal government programs Security Clearance Statement This position requires a government security clearance; you must be a US Citizen for consideration. Clearance level: TS/SCI. Equal Opportunity Employer Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. Experience Level Experienced Professional #J-18808-Ljbffr Lockheed Martin