AI PROMPT ENGINEER (TS/SCI Clearance)

NorthHill Technology•Reston, VA

1d•Onsite

About The Position

NorthHill Technology Resources is hiring an AI Prompt Engineer to support a Federal Intelligence Agency in Reston, Virginia. This is a direct-hire role with a highly respected Federal Integrator. A current TS/SCI clearance and CI Polygraph are required due to the nature of the work. The role blends data handling, generative AI, and prompt engineering to turn uploaded documents into actionable answers. Work includes preparing and organizing data for AI systems; designing, testing, and refining prompts; interacting with AI platforms and automating workflows; evaluating model outputs; analyzing and synthesizing information; documenting results; and communicating AI outputs and limitations to stakeholders.

Requirements

Current TS/SCI clearance and CI Polygraph.
Ability to gather documents, datasets, and unstructured files from various sources.
Knowledge of data cleaning, preprocessing, and normalization for AI models.
Ability to organize files into searchable, well-indexed repositories.
SQL and query skills for extracting and filtering data from databases.
Knowledge of PDF, DOCX, CSV, JSON, and other file formats used for AI ingestion.
Understanding of generative AI fundamentals, including LLMs and RAG (Retrieval-Augmented Generation).
Prompt design and iteration skills, including handling ambiguity and reducing hallucinations.
Ability to manage context and specify desired output formats for prompts.
Proficiency with AI platforms or enterprise AI APIs for uploading, querying, and retrieving data.
Ability to automate workflows using scripts or no-code tools.
Analytical thinking, information synthesis, and data interpretation skills.
Clear documentation, stakeholder collaboration, and business problem-solving skills.

Responsibilities

Gather documents, datasets, and unstructured files from various sources.
Clean and preprocess data by removing noise, correcting errors, and normalizing formats for AI models.
Structure files into searchable, well-indexed repositories, such as vector databases or document management systems.
Extract and filter data from databases to feed AI systems.
Design clear, structured, context-rich prompts to elicit accurate and relevant answers from AI.
Test and refine prompts based on output quality, ambiguity, and hallucination reduction.
Manage prompt context by providing necessary background, constraints, and desired output formats.
Use AI tools or enterprise AI APIs to upload, query, and retrieve data.
Automate repetitive upload, indexing, and retrieval steps using scripts or no-code tools.
Assess AI outputs for accuracy, completeness, and relevance.
Translate business questions into measurable AI queries.
Combine AI outputs with domain knowledge to produce insights.
Recognize patterns, anomalies, and trends in AI-generated results.
Document data sources, prompt versions, and results for reproducibility.
Explain AI outputs and limitations to non-technical users.
Align AI results with organizational goals and decision-making needs.