1

Prompt Jobs in Washington (NOW HIRING)

Senior Business Analyst - AFTAS Pro

Washington, DC · On-site

$104K - $135K/yr

It is an unusual blend: acquisition policy depth, knowledge management discipline, and enough fluency with AI tooling to govern a prompt library responsibly. What You'll Get to Do as a Senior ...

New

Implement runtime guardrails including prompt injection defenses, output content filtering, PII detection/redaction, jailbreak prevention, and tool use restrictions. * Codify enterprise policies ...

Explicitly mentions vibe coding and prompt engineering and references agentic AI development and AI productivity tools like Microsoft Copilot. About the Role A 10-week Technology Program Internship ...

Senior Machine Learning Engineer

Reston, VA · Hybrid

$108K - $149K/yr

This is not a notebook-only, prompt-only, or research-only role: successful candidates can walk through real systems they have built - the data flow, retrieval and inference architecture, deployment ...

This is not a notebook-only, prompt-only, or research-only role: successful candidates can walk through real systems they have built - the data flow, retrieval and inference architecture, deployment ...

AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

You'll work across the full AI application lifecycle from enterprise data ingestion and retrieval to prompt engineering, evaluation, deployment, observability, and production operations building ...

AI Engineer

Washington, DC · Hybrid

$99K - $225K/yr

You'll work across the full AI application lifecycle from enterprise data ingestion and retrieval to prompt engineering, evaluation, deployment, observability, and production operations building ...

This is not a notebook-only, prompt-only, or research-only role: successful candidates can walk through real systems they have built - the data flow, retrieval and inference architecture, deployment ...

Showing results 41-60

Prompt information

See Washington salary details

$11

$18

$28

How much do prompt jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for prompt in Washington is $18.67, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.62 per hour, depending on experience, location, and employer.

What is a prompt engineer?

Prompt engineers are professionals who specialize in designing, refining, and optimizing prompts for artificial intelligence models, particularly large language models like ChatGPT. Their work involves crafting queries that elicit accurate, relevant, and useful responses from AI systems. Prompt engineers often collaborate with developers, data scientists, and product teams to improve AI interactions, troubleshoot issues, and enhance user experience. As AI technology evolves, prompt engineering is becoming an increasingly important skill for leveraging the full potential of language models.

What skills and qualifications are needed to thrive as a prompt engineer?

To thrive as a Prompt Engineer, you need strong skills in natural language processing, programming (often Python), and a solid understanding of AI/ML concepts, typically supported by a degree in computer science or a related field. Familiarity with tools like OpenAI's API, prompt-tuning frameworks, and version control systems such as Git is commonly required. Excellent problem-solving, creativity, and clear communication help you design effective prompts and collaborate with cross-functional teams. These skills and qualities are crucial for optimizing AI model performance and delivering innovative solutions for complex tasks.

What are common challenges faced by prompt engineers when developing effective prompts for AI models?

Prompt Engineers often encounter challenges such as ensuring prompts are clear, unbiased, and consistently produce accurate outputs across various scenarios. Balancing specificity and flexibility in prompts to achieve reliable results can be complex, especially when working with evolving AI models. Collaborating closely with data scientists, product managers, and end users is crucial to iteratively test and refine prompts, making adaptability and strong communication vital skills in this role.

What is the difference between Prompt vs Data Analyst?

AspectPrompt
Required CredentialsTypically no formal credentials; familiarity with AI and NLP tools
Work EnvironmentTech companies, AI labs, remote or office settings
Industry UsageAI development, content creation, chatbot design
Common Search IntentUnderstanding AI prompt engineering and optimization

While Prompt specialists focus on designing inputs for AI models, Data Analysts interpret data to inform decisions. Both roles require analytical skills, but Prompt roles emphasize AI interaction, whereas Data Analysts work with structured data analysis.

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

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

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

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

What cities in Washington are hiring for Prompt jobs?

Cities in Washington with the most Prompt job openings:

Infographic showing various Prompt job openings in Washington as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $38,838 per year, or $18.7 per hour.

AI Security Specialist

Arlington, VA • On-site

Accenture Federal Services
IT Services • 10K+ employees

Full-time

Re-posted 21 hours ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz


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

  • US Citizen
  • Bachelor's Degree in Information Technology, Information Security, Business or Risk Management (or equivalent experience)
  • 3+ year of Risk Management, Security Assessment, or a related field.
  • 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.
  • 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.

What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom