Location: Chantilly, VA
Security Clearance: Active TS or higher [Required] Must be able to obtain CI Poly
Job Type: Full-Time
Target Salary Range*:$180,000 - $206,000

*This 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 salary

Position Overview

The 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 Responsibilities

Intelligence Analysis and Targeting

• Apply 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 Modernization

• Apply 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 Governance

• Lead 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.

Qualifications

Education

• Bachelor’s degree required.

Experience

• Minimum 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.

Skills

• Knowledge 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 Engineering

• Multimodel 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 ETL

• Vector, 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 Solutions

• Air-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 Integration

• UI, 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 Qualifications

• Master’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.