Technical Targeting Analyst (AI) | SME

Summary

Location: Chantilly, VASecurity Clearance: Active TS or higher [Required]Job Type: Full-TimeTarget Salary Range*: $150,000 - $206,000This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salaryPosition OverviewThe Technical Targeting Analyst (AI) serves as the principal subject matter expert for AI-enabled targeting methodologies, intelligence-driven data analysis, and advanced analytical integration across complex operational environments. This role applies artificial intelligence, machine learning, cyber intelligence, and large-scale data exploitation techniques to identify and assess high-priority threats and develop actionable intelligence. The SME provides strategic leadership in analytic modernization, data-driven targeting, and cross-domain intelligence integration while ensuring ethical, secure, and effective use of emerging technologies.Key ResponsibilitiesIntelligence Analysis and TargetingApply advanced analytical techniques, data exploitation tools, and intelligence collection methodologies to identify and assess high-priority threats.Analyze large, complex datasets from multiple intelligence and operational sources.Develop actionable intelligence, targeting packages, and executive-level briefings.AI-Enabled Analytic ModernizationApply AI, machine learning, and data-driven analytical frameworks to support targeting and intelligence analysis.Provide strategic leadership in analytic modernization and the integration of advanced analytical capabilities.Support cross-domain intelligence integration across complex operational environments.Technical Leadership and Analytical GovernanceLead complex analytic efforts and advise senior stakeholders.Serve as the principal authority for AI-enabled targeting methodologies.Ensure ethical, secure, and effective use of emerging technologies.QualificationsEducationBachelor's degree required.ExperienceMinimum of 10 years of experience.Experience using advanced analytical techniques, data exploitation tools, and intelligence collection methodologies.Experience analyzing large, complex datasets from multiple intelligence and operational sources.Experience developing intelligence products, targeting packages, and executive-level briefings.SkillsKnowledge of artificial intelligence, machine learning, and data-driven analytical frameworks.Strong critical thinking, investigative, and problem-solving skills.Ability to lead complex analytic efforts and advise senior stakeholders.Technical capabilities supporting an in-house, custom-developed application.Advanced AI, GenAI, and Multimodel EngineeringMultimodel and multimodal orchestration involving reasoning, perception, memory, and tool execution.Temporal, spatial, geographic, quantitative, and computer vision AI implementation.Named entity recognition (NER), contextual entity extraction, and entity resolution.Multistep retrieval and structured output generation.Complex data parsing and streamlined ingestion.Detailed source citation and traceable analytic outputs.Data Architecture and ETLVector, graph, and multiple database orchestration.Automated extract, transform, and load (ETL) pipeline creation, scheduling, and optimization.Attribute-based access control (ABAC) at the data layer.Data provenance and end‑to‑end lineage tracking.Schema-aligned ingestion and normalization of diverse structured and unstructured data.Enterprise Infrastructure and Cross-Domain SolutionsAir‑gapped, hybrid, and on‑premises operational environments.Container orchestration and distributed systems management using Kubernetes.Locally hosted GPU servers and hyperconverged nodes.Multitenant cross-domain solutions (CDS).Application Development and IntegrationUI, backend, and middleware engineering using TypeScript, React, Python, FastAPI, LanceDB, Lance Graph, PostgreSQL, Temporal.io, Docker, and Kubernetes.Integration of reasoning components, retrieval systems, databases, and AI/GenAI services.Use of modern programming languages and frameworks.Preferred QualificationsMaster's degree in Intelligence, Data Science, Cybersecurity, Analytics, or a related field.Experience supporting federal, defense, intelligence, law enforcement, or national security missions.Expertise in AI/ML model development, data engineering, or advanced analytics platforms.Experience with cyber threat intelligence, network analysis, digital forensics, or open-source intelligence (OSINT).Knowledge of intelligence tradecraft, operational targeting methodologies, and analytical governance.Relevant certifications in intelligence analysis, cybersecurity, data science, cloud technologies, or AI/ML disciplines.#J-18808-Ljbffr

Job Description

Location: Chantilly, VASecurity Clearance: Active TS or higher [Required]Job Type: Full-TimeTarget Salary Range*: $150,000 - $206,000This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salaryPosition OverviewThe Technical Targeting Analyst (AI) serves as the principal subject matter expert for AI-enabled targeting methodologies, intelligence-driven data analysis, and advanced analytical integration across complex operational environments. This role applies artificial intelligence, machine learning, cyber intelligence, and large-scale data exploitation techniques to identify and assess high-priority threats and develop actionable intelligence. The SME provides strategic leadership in analytic modernization, data-driven targeting, and cross-domain intelligence integration while ensuring ethical, secure, and effective use of emerging technologies.Key ResponsibilitiesIntelligence Analysis and TargetingApply advanced analytical techniques, data exploitation tools, and intelligence collection methodologies to identify and assess high-priority threats.Analyze large, complex datasets from multiple intelligence and operational sources.Develop actionable intelligence, targeting packages, and executive-level briefings.AI-Enabled Analytic ModernizationApply AI, machine learning, and data-driven analytical frameworks to support targeting and intelligence analysis.Provide strategic leadership in analytic modernization and the integration of advanced analytical capabilities.Support cross-domain intelligence integration across complex operational environments.Technical Leadership and Analytical GovernanceLead complex analytic efforts and advise senior stakeholders.Serve as the principal authority for AI-enabled targeting methodologies.Ensure ethical, secure, and effective use of emerging technologies.QualificationsEducationBachelor's degree required.ExperienceMinimum of 10 years of experience.Experience using advanced analytical techniques, data exploitation tools, and intelligence collection methodologies.Experience analyzing large, complex datasets from multiple intelligence and operational sources.Experience developing intelligence products, targeting packages, and executive-level briefings.SkillsKnowledge of artificial intelligence, machine learning, and data-driven analytical frameworks.Strong critical thinking, investigative, and problem-solving skills.Ability to lead complex analytic efforts and advise senior stakeholders.Technical capabilities supporting an in-house, custom-developed application.Advanced AI, GenAI, and Multimodel EngineeringMultimodel and multimodal orchestration involving reasoning, perception, memory, and tool execution.Temporal, spatial, geographic, quantitative, and computer vision AI implementation.Named entity recognition (NER), contextual entity extraction, and entity resolution.Multistep retrieval and structured output generation.Complex data parsing and streamlined ingestion.Detailed source citation and traceable analytic outputs.Data Architecture and ETLVector, graph, and multiple database orchestration.Automated extract, transform, and load (ETL) pipeline creation, scheduling, and optimization.Attribute-based access control (ABAC) at the data layer.Data provenance and end‑to‑end lineage tracking.Schema-aligned ingestion and normalization of diverse structured and unstructured data.Enterprise Infrastructure and Cross-Domain SolutionsAir‑gapped, hybrid, and on‑premises operational environments.Container orchestration and distributed systems management using Kubernetes.Locally hosted GPU servers and hyperconverged nodes.Multitenant cross-domain solutions (CDS).Application Development and IntegrationUI, backend, and middleware engineering using TypeScript, React, Python, FastAPI, LanceDB, Lance Graph, PostgreSQL, Temporal.io, Docker, and Kubernetes.Integration of reasoning components, retrieval systems, databases, and AI/GenAI services.Use of modern programming languages and frameworks.Preferred QualificationsMaster's degree in Intelligence, Data Science, Cybersecurity, Analytics, or a related field.Experience supporting federal, defense, intelligence, law enforcement, or national security missions.Expertise in AI/ML model development, data engineering, or advanced analytics platforms.Experience with cyber threat intelligence, network analysis, digital forensics, or open-source intelligence (OSINT).Knowledge of intelligence tradecraft, operational targeting methodologies, and analytical governance.Relevant certifications in intelligence analysis, cybersecurity, data science, cloud technologies, or AI/ML disciplines.#J-18808-Ljbffr