What You'll be Owning:
We are seeking a highly skilled Senior Prompt Engineer to support mission-critical intelligence operations. The ideal candidate brings agentic AI expertise, advanced data science capabilities, and demonstrated experience supporting national security objectives across GEOINT, multi-INT, and enterprise-level analytic environments. This position requires the ability to innovate, modernize AI tradecraft, and drive the integration of advanced AI methodologies into customer mission sets.
What You Must Have:
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Active TS/SCI Clearance is required with the ability to obtain a CI Poly
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10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience)
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Expertise in advanced analytic methodologies and proven ability to implement them to increase customer satisfaction and mission effectiveness.
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Experience in database manipulation and maintaining structured analytic datasets.
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Demonstrated proficiency using analytic tools to modernize workflows and enhance analytic rigor.
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Ability to write clear, direct, well-structured prompts to apply analytic tools to structured and unstructured datasets using agentic AI.
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Experience with Python/R scientific computing libraries (NumPy, Pandas, etc.)
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Experience applying machine learning or statistical modeling techniques (e.g., regression, clustering, classification, time-series analysis) to mission datasets.
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Experience creating reusable prompt libraries and workflows to accelerate AI deployments.
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Experience authoring best practice documentation, building the framework for AI usage.
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Ability to evaluate model performance, conduct error analysis, and effectively communicate model results to both technical and non-technical audiences.
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Experience operationalizing analytic models into repeatable pipelines supporting intelligence production at scale.
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Understanding of modern data science best practices, including model governance, reproducibility, transparency, and lifecycle management.
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Conduct multi-INT research to augment agentic AI models supporting office operations.
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Experience developing new geospatial tradecraft, methods, and technologies from an operations research perspective.
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Ability to identify system enhancements, capability gaps, new technologies, and business case opportunities that strengthen mission delivery.
What Would be Nice to Have:
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Experience building and maintaining GEOINT, SIGINT, or OSINT datasets aligned to mission requirements.
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Experience building effective AI Agents including function calling, tool integration, and agentic system debugging.
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Ability to design and deliver briefings, demonstrations, and training events for users at all skill levels across mission applications.
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Ability to extract, model, and visualize multi-INT datasets for both descriptive and predictive analysis.
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Experience in applying deep learning or computer vision techniques (e.g., CNNs, segmentation, object detection) to GEOINT or multi-INT datasets.
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Experience with API-driven ingestion, ETL pipelines, or microservice-based analytic architectures.
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Ability to use AI resources programmatically through available API interfaces for data ingestion and processing.
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Experience with Palantir in an operational environment.