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Prompt Engineering Jobs in Virginia (NOW HIRING)

Nastech Global

Senior AI/ML/Python Engineer

Reston, VA · On-site

... prompt engineering techniques. • Strong understanding of financial data, KPIs, and reporting standards. • Excellent communication and collaboration skills. Thank and Regards Gopi M 202.828.3493 ...

MANTECH

Data and AI Solution Engineer

Herndon, VA

Maintain a strong understanding of emerging GenAI frameworks, prompt engineering methodologies, government compliance requirements, and integration methods with enterprise systems. * Participate in ...

Hexaware Technologies, Inc

"AI Engineer"

Reston, VA · On-site

Develop prompt engineering frameworks and AI agents. * Fine-tune and customize foundation models based on business requirements. * Implement guardrails, governance, and responsible AI practices.

SES

Gen AI/Python Developer

Reston, VA · On-site

$52.25 - $72/hr

Experience working with LLMs (Anthropic Claude, Sonnet) and prompt engineering techniques. Strong understanding of financial data, KPIs, and reporting standards. Excellent communication and ...

Interon IT Solutions

Senior Salesforce Developer

Reston, VA · On-site

$130K - $159K/yr

Implement custom objects, versioning models, and secure role‑based access AI & Prompt Engineering (Agentforce) * Design and build multiple Prompt Builder templates with deterministic structure and ...

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$32.2K

$62.4K

$94.7K

How much do prompt engineering jobs pay per year?

As of Jul 14, 2026, the average yearly pay for prompt engineering 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 Engineering job?

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 are the key skills and qualifications needed to thrive in the Prompt Engineering position, and why are they important?

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.

What are the most commonly searched types of Prompt Engineering jobs in Virginia? The most popular types of Prompt Engineering jobs in Virginia are:
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What cities in Virginia are hiring for Prompt Engineering jobs? Cities in Virginia with the most Prompt Engineering job openings:
Prompt Engineering jobs near you
AI-Augmented Software Development Faculty / Subject Matter Expert (SME)

AI-Augmented Software Development Faculty / Subject Matter Expert (SME)

ECPI University

Manassas, VA • On-site

$51 - $67.50/hr

Full-time

Re-posted 7 hours ago

ECPI University rating

5.7

Company rating: 5.7 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

520th of 553 rated colleges and universities

Job description

***This is for day-time faculty***
This position is based at our Virginia Beach, VA campus location.
Overview
ECPI University is seeking a Software Development Faculty Member with deep expertise in AI-augmented development practices to serve as a Subject Matter Expert (SME). This role leads the integration of AI tools, responsible development principles, and modern software engineering practices across the undergraduate software development curriculum - with a particular focus on preparing students who are new to coding to work productively and ethically alongside AI systems from day one of their careers.
Key Responsibilities
  • Serve as institutional SME for AI-augmented software development, guiding curriculum design across the full undergraduate software development program
  • Design, develop, and refine curriculum covering AI-assisted coding, LLM-based application development, prompt engineering, AI-augmented architecture and design thinking, and responsible/ethical AI development practices
  • Teach courses at the intersection of software development and artificial intelligence, using real-world tools, scaffolded projects, and industry-aligned case studies accessible to students with no prior coding experience
  • Model professional AI-augmented development workflows in the classroom - including AI coding assistants (e.g., GitHub Copilot, Kilo Code), LLM API integration, and prompt-driven design and documentation practices
  • Incorporate secure coding principles (OWASP Top 10, CWE) into AI-augmented development instruction, helping students understand how AI tools can both introduce and help mitigate software vulnerabilities
  • Mentor faculty colleagues in adopting AI-augmented pedagogical strategies and tools across software development courses
  • Collaborate with academic leadership to ensure curriculum reflects current industry expectations for AI-literate software developers
  • Stay continuously current with advancements in generative AI, agentic coding tools, LLM frameworks, and their evolving roles in professional software development

Qualifications
Education
  • Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field OR
  • Master's degree with 18+ graduate semester hours in the discipline
  • Ph.D. strongly preferred, particularly with research or applied focus in AI, software engineering, or human-computer interaction

Experience
  • Demonstrated hands-on expertise in AI-augmented software development (e.g., AI-assisted coding workflows, LLM API development, prompt engineering, agentic development tools)
  • 3-5 years of relevant industry experience (10+ years preferred), with direct exposure to AI-integrated development environments
  • Experience designing or delivering curriculum, training, or professional development for beginner-to-intermediate learners
  • Teaching or mentoring experience preferred, particularly with students new to programming

Technical Skills
Required:
  • AI-assisted coding tools and workflows (GitHub Copilot, Kilo Code, Cursor, or equivalent)
  • LLM concepts and application development using LLM APIs (OpenAI, Anthropic, or equivalent)
  • Prompt engineering principles and patterns for software development contexts
  • Core software development fundamentals: OOP, data structures, version control, debugging
  • Secure coding awareness: OWASP Top 10, CWE, AI-introduced vulnerability patterns

Preferred:
  • Agentic AI frameworks (LangChain, AutoGen, or equivalent)
  • Cloud AI/ML development services (AWS Bedrock, Azure OpenAI, Google Vertex AI)
  • AI ethics frameworks and responsible development practices
  • Full-stack web development with AI integration
  • AI-augmented architecture and design thinking methodologies

Certifications (Preferred)
  • GitHub Copilot or GitHub Foundations certification
  • AWS Certified Developer / Azure Developer Associate
  • Azure AI Engineer or AWS ML Specialty
  • Google Professional ML Engineer
  • Any recognized LLM/generative AI development credential
  • Certified Scrum Master (CSM) or SAFe Agile practitioner

Skills & Abilities
  • Deep expertise in AI-augmented development with ability to scaffold complex concepts for students encountering programming for the first time
  • Strong curriculum development skills with experience mapping AI competencies to industry frameworks (e.g., NICE Workforce Framework, ACM/IEEE Computing Curricula)
  • Ability to model professional-grade AI workflows in accessible, confidence-building ways for novice learners
  • Commitment to responsible AI development - able to teach both the power and the ethical responsibilities of AI-assisted software creation
  • Excellent collaboration, communication, and organizational skills
  • Passion for innovation, instructional excellence, and preparing students for the AI-augmented workforce

Benefits
ECPI University offers a comprehensive benefits package supporting employee well-being and professional growth.
Equal Opportunity Employer
ECPI University is an Equal Opportunity Employer. We value diversity and inclusion in our workplace.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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