Apply to AI Prompt Engineer (TS/SCI Clearance)

NorthHill Technology Resources has a need for an AI Prompt Engineer to support a Federal Intelligence Agency in Reston, VA. This is direct-hire role with our client, a highly-respected Federal Integrator. Due to the nature of the work, a current TS/SCI Clearance and CI Polygraph is required.

1. Data Management and Preparation

Data collection & ingestion – Ability to gather documents, datasets, and unstructured files from various sources.
Data cleaning & preprocessing – Removing noise, correcting errors, and normalizing formats for AI models.
Data organization – Structuring files into searchable, well‑indexed repositories (e.g., vector databases, document management systems/
SQL & query skills – Extracting and filtering data from databases to feed AI systems.
File format knowledge – Understanding PDF, DOCX, CSV, JSON, and other formats for AI ingestion.

2. Generative AI & Prompt Engineering

Generative AI fundamentals – Understanding LLMs, RAG (Retrieval-Augmented Generation), and how AI models retrieve and synthesize information.
Prompt design – Crafting clear, structured, and context‑rich prompts to elicit accurate, relevant answers from AI.
Prompt iteration – Testing and refining prompts based on output quality, handling ambiguity, and reducing hallucinations.
Context management – Ensuring prompts include necessary background, constraints, and desired output format.

3. AI System Interaction & Workflow Automation

AI platform proficiency – Using tools or enterprise AI APIs to upload, query, and retrieve data.
Workflow automation – Automating repetitive upload, indexing, and retrieval steps with scripts or no‑code tools.
Model evaluation – Assessing AI outputs for accuracy, completeness, and relevance.

4. Analytical & Critical Thinking

Analytical thinking – Translating business questions into measurable AI queries.
Information synthesis – Combining AI outputs with domain knowledge to produce insights.
Data interpretation – Recognizing patterns, anomalies, and trends in AI‑generated results.

5. Communication & Business Skills

Clear documentation – Recording data sources, prompt versions, and results for reproducibility.
Stakeholder collaboration – Explaining AI outputs and limitations to non‑technical users.
Business problem‑solving – Aligning AI results with organizational goals and decision‑making needs. An AI professional in this role blends data handling, generative AI, and prompt engineering skills to turn uploaded documents into actionable answers. The skill set spans technical, analytical, and communication domains