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Prompt Engineering Jobs in Washington, DC (NOW HIRING)

Tata Consultancy Service Limited

Engineer

Mclean, VA · On-site

$100K - $120K/yr

Conduct evaluations, A/B tests, and model drift checks while applying prompt engineering and optimization techniques. • Collaborate and Ensure Responsible AI : Partner with cross-functional teams ...

Cliff Services Inc

Enterprise Architect IV

Reston, VA · On-site

$55 - $62/hr

Apply prompt engineering best practices to create reusable prompt libraries, templates, and workflows for architecture and engineering teams. Communication & Leadership Communicate complex ...

Brivo

Sr. Software Engineer - AI Platform

Bethesda, MD · On-site

$150K - $170K/yr

Deliver generative AI capabilities across the platform--prompt engineering, tool/function calling, agent routing, and stateful human-in-the-loop workflows--that are safe, responsive, and cost ...

Omm IT Solutions

GenAI Engineer

Ellicott City, MD

Prompt engineering: Crafting and refining prompts to guide generative models to produce desired outputs, often for specific applications (e.g., content creation, code generation, design). \n * Build ...

System One

AI Engineer

Washington, DC · Remote

$41.85/hr

Design and optimize prompts using prompt engineering techniques for LLMs to achieve desired outcomes * Work with Large Language Models (LLMs) such as Claude, GPT, Gemini, Llama, etc. via APIs or ...

rockITdata

AI/ML Engineer

Arlington, VA · Remote

This role will focus on Amazon Bedrock Agent configuration, prompt engineering, knowledge base development, coaching ruleset design, QA scoring rubric implementation, and continuous model evaluation.

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Prompt Engineering information

See Washington, DC salary details

$36.8K

$71.3K

$108.1K

How much do prompt engineering jobs pay per year?

As of Sep 2, 2026, the average yearly pay for prompt engineering in Washington, DC is $71,314.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,200.00 and $81,500.00 per year, depending on experience, location, and employer.

What is prompt engineering?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What skills and qualifications are needed for prompt engineering?

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What are the most common challenges faced by prompt engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

Is prompt engineering still in demand?

Prompt engineering is currently in high demand as organizations seek experts to optimize interactions with AI language models. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, making it a valuable specialization in AI development and deployment.

What do you do as a prompt engineer?

A prompt engineer designs and refines prompts to optimize the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to improve accuracy and relevance in outputs.

What are the most commonly searched types of Prompt Engineering jobs in Washington, DC?

The most popular types of Prompt Engineering jobs in Washington, DC are:

What are popular job titles related to Prompt Engineering jobs in Washington, DC?

For Prompt Engineering jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Prompt Engineering jobs in Washington, DC look for?

The top searched job categories for Prompt Engineering jobs in Washington, DC are:

Prompt Engineering jobs near you
Infographic showing various Prompt Engineering job openings in Washington, DC as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $71,301 per year, or $34.3 per hour.

AI Process Integration Engineer, Senior (TS/SCI w/ Polygraph)

Praescient Analytics

Mclean, VA • On-site

$105K - $136K/yr

Full-time

Re-posted 25 days ago

Job description

Job Summary:
Praescient Analytics is seeking a talented and driven AI Process Integration Engineer to support a critical national security mission with the National Counter Terrorism Center (NCTC). The role involves maximizing the mission value of existing AI/ML tools by redesigning workflows, configuring tools for specific use cases, and driving rapid analyst adoption.
Responsibilities:
• Optimize Existing Tools: Evaluate approved AI/ML tools on the customer network to bridge configuration gaps and maximize underutilized capabilities.
• Mission Customization: Configure approved tools into existing workflows for specific analyst tasks (e.g., entity triage, pattern correlation, RFI processing) without triggering new review board actions.
• Process Redesign: Map current analytic workflows to eliminate manual bottlenecks, designing future-state processes that embed AI at high-friction points.
• Standard Operating Procedures: Maintain before/after process documentation, SOPs, and metrics tied directly to mission outcomes.
• Prompt Engineering: Build mission-specific prompt libraries, template guides, and a Document Support Playbook Suite (draft assist, tradecraft review, classification checks) to make AI tools instantly usable for non-technical analysts.
• Drive Adoption: Work alongside analysts, targeters, and mission leads to deliver hands-on demonstrations, training materials, and embedded transition support.
• Performance Metrics: Establish KPIs tracking AI utilization, analyst productivity, and cycle-time reductions to provide leadership with data-driven evidence for scaling tools.
• Operational Liaison: Serve as the functional bridge between technical AI/ML engineers, the analytic workforce, and program leadership.
Qualifications:
Required:
• 10+ years in AI/ML tool deployment, systems integration, or process engineering—including 5+ years supporting the IC, DoD, or Federal law enforcement.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
• Hands-on experience with AI/ML tool configuration, prompt engineering, workflow modeling (BPMN), and data pipelines within multi-classification networks.
• Practical knowledge of Lean Six Sigma, Agile, or continuous improvement frameworks applied to intelligence environments.
• Strong analytical thinking with the ability to translate complex AI capabilities into practical mission value for non-technical users.
• Active TS/SCI with CI Polygraph (Required)
• US Citizenship Required
Company:
Software and Technology Integrator Founded in 2011, the company is headquartered in Alexandria, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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