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Temporary Ai Prompt Engineer Jobs in Virginia (NOW HIRING)

A strong and practical understanding of AI capabilities (specifically prompt engineering, LLMs, and AI tooling), and translating that knowledge into core programmatic functions, such as scheduling ...

AI Technology Integrator

Chantilly, VA · On-site

$120 - $170/hr

A strong and practical understanding of AI capabilities (specifically prompt engineering, LLMs, and AI tooling), and translating that knowledge into core programmatic functions, such as scheduling ...

A strong and practical understanding of AI capabilities (specifically prompt engineering, LLMs, and AI tooling), and translating that knowledge into core programmatic functions, such as scheduling ...

Optimize and adapt prompt engineering strategies to improve model performance and relevance. * Integrate and deploy models using AWS services including Bedrock, S3, ECS, EC2, Lambda and other AI/ML ...

AI Architect

Fairfax, VA · On-site

$62.50 - $82.50/hr

This is not a pure GenAI prompt engineer or research scientist. Program-Level Leader & Communicator * Acts as AI SME for the entire program * Can: * Define AI governance and usage policies * Educate ...

Salesforce Lead Developer

Tysons, VA · On-site

$56 - $74.25/hr

Salesforce Lead Developer - FSC | Banking | AI & Data Location: Onsite(Tysons, VA) Experience: 10+ ... Develop AI-powered solutions using Agentforce (Agent Builder, Prompt Builder, Einstein AI)

Software AI Engineer Job Type: Full-time Job Summary: Join our customer's team as a Software ... and prompt engineering. * Strong development skills with Python, focusing on backend API ...

New

Software AI Engineer Job Type: Full-time Job Summary: Join our customer's team as a Software ... and prompt engineering. * Strong development skills with Python, focusing on backend API ...

New

Software AI Engineer Job Type: Full-time Job Summary: Join our customer's team as a Software ... and prompt engineering. * Strong development skills with Python, focusing on backend API ...

New

Software AI Engineer Job Type: Full-time Job Summary: Join our customer's team as a Software ... and prompt engineering. * Strong development skills with Python, focusing on backend API ...

New

Software AI Engineer Job Type: Full-time Job Summary: Join our customer's team as a Software ... and prompt engineering. * Strong development skills with Python, focusing on backend API ...

New

Software AI Engineer Job Type: Full-time Job Summary: Join our customer's team as a Software ... and prompt engineering. * Strong development skills with Python, focusing on backend API ...

New

Showing results 41-60

Temporary Ai Prompt Engineer information

What is a Temporary AI Prompt Engineer?

A Temporary AI Prompt Engineer is a professional hired for a short-term contract to design, test, and refine prompts that guide artificial intelligence models, like ChatGPT, to produce accurate and relevant responses. Their main responsibilities include understanding project requirements, crafting effective prompts, analyzing model outputs, and iteratively improving the prompts to achieve desired outcomes. This role is especially important in organizations that need rapid development or scaling of AI tools without long-term staffing commitments. Temporary AI Prompt Engineers often collaborate with data scientists, product managers, and developers to ensure the AI meets business objectives. The position typically requires strong language skills, analytical thinking, and familiarity with AI models.

What are the key skills and qualifications needed to thrive as a Temporary AI Prompt Engineer?

To thrive as a Temporary AI Prompt Engineer, you need a strong background in language models, prompt engineering, and data analysis, often supported by experience with AI development or a related degree. Familiarity with tools like OpenAI's GPT platform, prompt optimization frameworks, and version control systems such as Git is typically required. Creativity, problem-solving, and clear written communication are essential soft skills for crafting effective prompts and collaborating with team members. These skills ensure the delivery of high-quality, impactful AI outputs and enable rapid adaptation in a fast-evolving technical environment.

What are some common challenges faced by Temporary AI Prompt Engineers, and how can they effectively address them?

Temporary AI Prompt Engineers often face the challenge of quickly adapting to new AI models and internal tools within a limited timeframe. They must efficiently learn company-specific requirements, collaborate with cross-functional teams, and deliver high-quality prompts under tight deadlines. Success in this role relies on clear communication, proactive problem-solving, and the ability to iterate rapidly based on feedback. Building strong relationships with team members and leveraging available documentation can help temporary engineers transition smoothly and make meaningful contributions during their assignment.

What is the difference between Temporary Ai Prompt Engineer vs Data Scientist?

AspectTemporary Ai Prompt EngineerData Scientist
Required CredentialsOften a degree in computer science, AI, or related fields; familiarity with AI toolsDegree in computer science, statistics, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, freelance projects; project-based rolesResearch institutions, tech firms, corporate analytics teams; ongoing projects
Employer & Industry UsagePrimarily in AI development, content creation, and product testingData analysis, predictive modeling, business insights

While both roles require technical skills and familiarity with data and AI tools, Temporary Ai Prompt Engineers focus on crafting prompts for AI models in short-term projects, whereas Data Scientists analyze data to inform business decisions over longer periods.

What are the most commonly searched types of Ai Prompt Engineer jobs in Virginia?

The most popular types of Ai Prompt Engineer jobs in Virginia are:

What are popular job titles related to Temporary Ai Prompt Engineer jobs in Virginia?

For Temporary Ai Prompt Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Temporary Ai Prompt Engineer jobs in Virginia look for?

The top searched job categories for Temporary Ai Prompt Engineer jobs in Virginia are:

What cities in Virginia are hiring for Temporary Ai Prompt Engineer jobs?

Cities in Virginia with the most Temporary Ai Prompt Engineer job openings:

Infographic showing various Temporary Ai Prompt Engineer job openings in Virginia as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Full-time

Posted 20 days ago


Job description

The AI Security Specialist will work within the Cyber Risk team in the Inormation Security organization. 

The Work

  • Support the team by performing basic security reviews of AI prompts, skills, agents, and other related inputs. This includes helping review prompt-based systems, simple agent workflows, and early-stage automation tools.
  • Assist in checking compliance with internal AI security, Responsible AI, and data protection requirements by using established frameworks, checklists, and outputs from AI testing tools.
  • Document review results clearly, noting areas of concern and drafting initial mitigation suggestions for review by senior team members.
  • Contribute to continuous improvement by updating team documentation, improving reusable scripts under guidance, and assisting in refining security review criteria.

What you need

  • Basic understanding of GenAI ecosystems, including LLMs, vector databases, prompt frameworks, and simple agent workflows.
  • Awareness of common AI-specific attack vectors such as prompt injection, data leakage, model inversion, and unsafe agent actions.
  • Familiarity with fundamental AI security testing tools and evaluation frameworks, with willingness to learn more advanced tools over time.
  • Ability to identify basic AI system issues such as hallucinations, unauthorized access attempts, or harmful outputs. U
  • Understanding of core cloud security concepts across Azure/AWS/GCP, focused on identity, logging, and boundary protections.
  • Ability to review AI prompt inputs, configuration settings, guardrails, and simple testing outputs with guidance from senior staff.
  • Basic scripting ability (Python, JS, or similar) to help build or update small test cases and simple automation scripts.
  • Ability to apply AI security and Responsible AI requirements using checklists, templates, and system documentation provided by senior team members.
  • Solid communication and writing skills to help document and share test results, findings, and recommended mitigations in a clear and structured format.
  • Ability to communicate observed issues to engineers and product teams under the guidance of senior reviewers.
  • Ability to explain basic AI security concerns in plain language.
  • Ability to work independently and as part of a high-performing team.
  • Ability to continuously improve skills and staying current with changes in AI models, platforms, and emerging threats-tracking updates and integrating them into test coverage.
  • Experience contributing to updates of AI security patterns, guidance, and internal testing frameworks.

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