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Prompt Engineering Ai Jobs in Virginia (NOW HIRING)

Ignite IT is seeking a Junior AI Prompt Engineer to support U.S. Customs and Border Protection (CBP). In this role, you will work directly with stakeholders to identify opportunities for AI adoption ...

Ignite IT is seeking a Junior AI Prompt Engineer to support U.S. Customs and Border Protection (CBP). In this role, you will work directly with stakeholders to identify opportunities for AI adoption ...

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 Process Integration Engineer Job Type: Full-Time Job Summary The AI Process Integration Engineer ... Prompt Engineering & Tool Enablement * Build mission‑specific prompt libraries, Boolean‑to‑AI ...

... prompt engineering, model evaluation, vector search, and agentic application patterns. • Experience with AWS cloud-native architectures and services such as Amazon Bedrock, SageMaker AI, Lambda ...

Strong knowledge of generative AI, large language models, retrieval-augmented generation, prompt engineering, model evaluation, vector search, and agentic application patterns. Experience with AWS ...

Strong knowledge of generative AI, large language models, retrieval‑augmented generation, prompt engineering, model evaluation, vector search, and agentic application patterns. * Experience with ...

This role will focus on Amazon Bedrock Agent configuration, prompt engineering, knowledge base ... IVR Call Taking, AI Coaching, Call Summaries, and Post Call Analysis. Key Responsibilities

Showing results 21-40

Prompt Engineering Ai information

See Virginia salary details

$32.2K

$62.4K

$94.7K

How much do prompt engineering ai jobs pay per year?

As of Sep 12, 2026, the average yearly pay for prompt engineering ai in Virginia is $62,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,600.00 and $71,400.00 per year, depending on experience, location, and employer.

What is a prompt engineer in AI?

A Prompt Engineer in AI is a specialist who designs, tests, and refines the inputs (prompts) given to large language models or generative AI systems to optimize their outputs. They work to understand how different prompt formulations influence AI responses, aiming to make the AI perform specific tasks more accurately and reliably. This role often requires strong analytical skills, creativity, and an understanding of both natural language and the capabilities of AI models. Prompt engineers collaborate with product teams, data scientists, and developers to create efficient workflows and improve user experience with AI tools.

What are some common challenges faced by prompt engineering AI professionals when collaborating with multidisciplinary teams?

Prompt Engineering AI professionals often work closely with data scientists, product managers, and software engineers. One common challenge is translating complex technical requirements from non-technical stakeholders into clear, actionable prompts for AI models. Maintaining effective communication and aligning expectations across teams is crucial, as is ensuring that AI outputs meet both technical and business objectives. Adaptability and a collaborative mindset are essential to navigate differing priorities and continuously optimize AI model performance.

What are the key skills and qualifications needed to thrive as a prompt engineer in AI, and why are they important?

To thrive as a Prompt Engineer in AI, you need a strong background in computer science, natural language processing, and experience with large language models, often supported by a relevant degree or technical training. Familiarity with AI platforms (such as OpenAI’s GPT), prompt design tools, and programming languages like Python is typically required. Creative problem-solving, attention to detail, and effective communication are crucial soft skills for optimizing prompts and collaborating with cross-functional teams. These skills ensure the development of accurate, efficient, and user-aligned AI outputs in fast-evolving environments.

What is the difference between Prompt Engineering Ai vs Data Scientist?

AspectPrompt Engineering AiData Scientist
Required CredentialsKnowledge of AI models, programming, and prompt designDegree in Data Science, Statistics, or related fields
Work EnvironmentTech companies, AI labs, startupsResearch institutions, tech firms, finance, healthcare
Industry UsageAI development, NLP applications, chatbot designData analysis, predictive modeling, data-driven decision making

Prompt Engineering Ai focuses on designing effective prompts for AI models, primarily working with language models and AI tools. Data Scientists analyze data, build models, and generate insights. While both roles require technical skills, Prompt Engineers specialize in AI prompt optimization, whereas Data Scientists work with broader data analysis and statistical methods.

How do I become a prompt engineering AI?

Prompt engineering is a skill-based role that involves designing effective prompts for AI language models. To become a prompt engineer, develop a strong understanding of natural language processing, experiment with AI tools like GPT, and improve your skills through online courses, tutorials, and practice. Familiarity with programming, data analysis, and AI concepts can also enhance your qualifications.

Is prompt engineering AI a good career?

Prompt engineering AI is a growing field focused on designing effective prompts for AI models, and it offers opportunities in industries such as technology, research, and content creation. Success in this career typically requires strong language skills, understanding of AI tools, and continuous learning to keep up with evolving models. It can be a rewarding career for those interested in AI development and human-AI interaction.

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

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

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

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

Infographic showing various Prompt Engineering Ai job openings in Virginia as of September 2026, with employment types broken down into 1% Internship, 84% Full Time, 10% Part Time, 3% Contract, and 2% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $62,437 per year, or $30 per hour.

Jr. AI Prompt Engineer

Ashburn, VA • On-site

Ignite IT
11 - 50 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

Ignite IT is seeking a Junior AI Prompt Engineer to support U.S. Customs and Border Protection (CBP). In this role, you will work directly with stakeholders to identify opportunities for AI adoption, develop and refine prompts, design AI-enabled workflows, and support the implementation of AI solutions that improve mission and business operations. 

The ideal candidate is passionate about artificial intelligence, enjoys solving complex problems, and can translate business needs into practical AI-enabled solutions. Candidates may come from backgrounds such as workflow automation, business analysis, software development, process improvement, technical consulting, or AI implementation. 

This role focuses on helping users adopt and apply AI technologies. 

Responsibilities 

  • Work with stakeholders to understand business processes, gather requirements, identify operational pain points, and evaluate opportunities for AI adoption. 
  • Design, test, refine, and document reusable prompts and prompt workflows for approved large language model platforms. 
  • Develop and support AI-enabled workflows that improve operational efficiency and automate manual processes. 
  • Support demonstrations, training sessions, and user adoption activities that help stakeholders effectively leverage AI capabilities. 
  • Use approved AI platforms to assist stakeholders with research, summarization, reporting, analysis, and development of decision-support content. 
  • Evaluate and validate AI-generated outputs to ensure accuracy, reliability, and alignment with mission requirements. 
  • Research emerging AI capabilities and identify practical use cases that support mission objectives. 
  • Support rapid prototyping, testing, implementation, and continuous improvement of AI solutions. 
  • Document AI use cases, workflows, findings, lessons learned, and recommendations. 
  • Collaborate with technical teams to support deployment and integration efforts. 
  • Identify opportunities for advanced AI capabilities, automation, Retrieval-Augmented Generation (RAG), and agentic AI solutions and coordinate with technical teams as needed. 

Requirements

  • U.S. Citizenship. 
  • Bachelor's degree or equivalent combination of education and experience. 
  • Experience applying AI tools to solve business, operational, academic, or technical problems. 
  • Experience designing, testing, or refining prompts for generative AI platforms. 
  • Strong analytical and problem-solving skills. 
  • Ability to gather requirements and translate business needs into practical solutions. 
  • Strong written and verbal communication skills. 
  • Ability to communicate effectively with both technical and non-technical audiences. 
  • Ability to work independently and collaboratively in a team environment. 

Preferred Qualifications 

  • Experience with workflow automation tools such as n8n, Make.com, Zapier, LangFlow, or similar platforms. 
  • Familiarity with Retrieval-Augmented Generation (RAG) concepts. 
  • Experience with AI agents, chatbots, or conversational AI solutions. 
  • Exposure to APIs, scripting, software development, or low-code/no-code platforms. 
  • Experience identifying, documenting, or improving business processes. 
  • Experience supporting AI adoption, user training, or technology implementation efforts. 
  • Experience working in a federal government environment. 
  • Familiarity with prompt evaluation, output validation, and responsible AI practices. 

Benefits

  • 401(k) with matching and 100% Vested
  • Health Insurance - 3 plans to select from
  • Dental insurance
  • Vision Insurance
  • Health savings account
  • Life insurance
  • Short Term Disability
  • Long Term Disability
  • AD&D
  • Paid time off
  • Professional development assistance
  • Training
  • Tuition reimbursement
  • Flexible schedule
  • Flexible spending account
  • Referral program
  • Paid Legal Plan
  • and more....

Ignite IT is an Equal Employment Opportunity/Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, Veteran status, sexual orientation, or other protected characteristic. In accordance with EO 13665 Final Rule, Ignite IT will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.

Applicants selected may be required to possess and maintain a government clearance

US CITIZENSHIP REQUIRED