Senior Computer Scientist

Senior Computer ScientistAlexandria, VA Top Secret/SCI Polygraph Career Level not specified Salary not specifiedJob Description*** Please note that this position is contingent upon the successful award of a contract currently under bid.*** The Senior Computer Scientist serves as a technical authority for software architecture, AI/ML system design, ontology integration, and DevSecOps pipeline engineering on the OBIQUA program. This role provides direct technical leadership within the SAFe Agile program, supports the Key Personnel in fulfilling their obligations, and drives design decisions that affect IC-wide analytic interoperability. All solutions must integrate into DIA's IT environment and software baseline. Duties may include:Architect, design, and lead development of scalable enterprise data pipelines (ETL/ELT) using Apache NiFi, Databricks, and SPARQL CONSTRUCT for ingestion, normalization, and semantic fusion of multi-INT datasets.Lead design and implementation of knowledge graph architectures using RDF triple stores, SPARQL 1.1, OWL 2 reasoning, GeoSPARQL, and SHACL validation per Ontology & Knowledge Modeling requirement.Lead TEVV protocol design and execution for AI/ML models and analytic algorithms; ensure compliance with ICD 203, DoD Ethical Principles for AI, and NIST AI RMF 1.0.Engineer containerized DevSecOps pipelines (Docker, Kubernetes, Jenkins, GitLab, Fortify, SonarQube) for ATO-compliant software delivery infrastructure-as-code requirement.Provide technical support to Lead AI Architect and Lead Ontologist in fulfilling DIEKM/DICO compliance, cross-domain interoperability, and Government data rights obligations.Integrate AI/ML systems with the QAF dashboard; ensure model outputs feed real-time quality metrics, performance trends, and TEVV compliance data to Government-accessible dashboards.Ensure all developed software, AI models, weights, and training data comply with (Government Ownership); maintain complete model cards, version histories, and deployment documentation.Lead technical PI planning, architectural runway development, and cross-team dependency resolution; mentor mid-level engineers and conduct code reviews to maintain engineering standards.Author system design documents, API specifications, deployment guides, and operator runbooks per Knowledge Management Strategy requirements.Education and Experience Required:Bachelor's degree in Computer Science, Software Engineering, or related STEM field AND 8+ years of progressive software engineering experience in classified IC or DoD environmentsExpert proficiency in Python, Java, or C#; experience with DIA baseline tools: Python, R, SQL, ArcGIS, TableauDemonstrated experience designing enterprise-scale microservices, APIs, and containerized applications (Docker, Kubernetes)Hands-on experience with knowledge graph technologies: RDF, SPARQL, OWL, SHACL, GraphDB, or Apache JenaExperience with CI/CD DevSecOps toolchains: Jenkins, GitLab, Fortify, SonarQube in classified environmentsDemonstrated RMF, ACAS, STIG, and ATO compliance experience in classified DoD/IC environmentsExperience leading software engineering teams or serving as a technical lead/architectDesired:Direct experience with DIA MARS platform, TALOS program, or Object-Based Production (OBP) architectureFamiliarity with DIEKM/DICO standards and IC enterprise ontology governance frameworksExperience with Databricks, Apache NiFi, or Kafka for large-scale data engineeringExperience with LLM/RAG architectures, agentic AI platforms, or AI/ML pipeline engineering in classified environmentsSAFe certification (SA, SPC, or RTE) or demonstrated SAFe program delivery experience at senior levelExperience with GeoSPARQL, PostGIS, or geospatial data integration for spatially-enabled intelligenceMaster's degree in Computer Science or related fieldSecurity Clearance:Active TS/SCI and the willingness to sit for a polygraph, if neededIC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.