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Ai Prompt Engineer Jobs in Virginia (NOW HIRING)

BTree Solutions, Inc.

AI/ML ENGINEER

Reston, VA · On-site

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 ...

Armison Tech

AI Technology Integrator

Chantilly, VA · On-site

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 ...

Armison Tech

AI Technology Integrator

Chantilly, VA · On-site

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 ...

campus4tech

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 ...

Ekcel 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. Deploy ...

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.

Apptad, Inc.

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)

New

TriOptus LLC

Gen AI / LLM Engineer (AWS)

Reston, VA · On-site

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 ...

ManTech

Senior Proposal Content Developer

Herndon, VA · Hybrid

Develop AI workflows and prompts: Design, test, and deploy complex, reusable prompt libraries while ... engineer complex, multi-shot prompts to produce high-fidelity content. * Content Evaluation:

Peraton

Senior AI Engineer

Reston, VA · Remote

$127K - $168K/yr

Establish prompt frameworks, chaining strategies and reusable AI patterns that scale across teams ... Prompt engineering, prompt chaining, and reusable prompt architectures * Evaluation frameworks for ...

Peraton

Senior AI Engineer

Reston, VA · Remote

$127K - $168K/yr

Establish prompt frameworks, chaining strategies and reusable AI patterns that scale across teams ... Prompt engineering, prompt chaining, and reusable prompt architectures * Evaluation frameworks for ...

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All JobsAi Prompt Engineer JobsAi Prompt Engineer Jobs in Virginia

Ai Prompt Engineer information

See Virginia salary details

$25

$53

$76

How much do ai prompt engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for ai prompt engineer in Virginia is $53.17, according to ZipRecruiter salary data. Most workers in this role earn between $42.88 and $61.73 per hour, depending on experience, location, and employer.

How do I become an AI prompt engineer?

To become an AI prompt engineer, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gain experience with AI models such as GPT and learn how to craft effective prompts through practice and understanding of model behavior. Relevant certifications or courses in AI and data science can also enhance your qualifications.

Is AI prompt engineer still in demand?

AI prompt engineers are currently in high demand as organizations seek to optimize interactions with AI language models. The role requires skills in natural language processing, creativity, and familiarity with AI tools like GPT, with demand expected to grow as AI adoption expands across industries.

What is an AI prompt engineer?

An AI Prompt Engineer designs, tests, and optimizes prompts to improve the performance of AI language models. They ensure that AI-generated responses align with desired outcomes by refining input prompts and analyzing model behavior. This role requires a mix of technical skills, creativity, and an understanding of natural language processing (NLP). Prompt engineers often collaborate with developers, data scientists, and product teams to enhance AI interactions.

How much do AI prompt engineers make?

AI prompt engineers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and natural language processing can command higher salaries. Compensation may also include benefits such as bonuses and stock options.

What does an AI prompt engineer do?

As an AI Prompt Engineer, your day-to-day work often involves designing, testing, and refining prompts to improve the performance and accuracy of AI models for various applications. You'll frequently collaborate with data scientists, product managers, and software developers to understand requirements and integrate AI solutions effectively. Analyzing prompt outputs, troubleshooting issues, and documenting best practices are integral parts of the role. This position offers a dynamic and intellectually stimulating environment where continual learning and innovation are encouraged.

What are the key skills and qualifications needed to thrive as an AI prompt engineer?

To thrive as an AI Prompt Engineer, a solid background in natural language processing, programming (such as Python), and understanding of machine learning concepts is essential, typically supported by a degree in computer science or a related field. Experience with AI frameworks (like OpenAI's APIs), prompt engineering tools, and familiarity with cloud platforms are highly valued and may be supplemented by certifications in AI or data science. Strong analytical thinking, creativity, and excellent communication skills allow for designing effective prompts and collaborating with technical and non-technical stakeholders. These skills and qualities ensure the development of high-quality AI solutions that meet user needs and maximize the effectiveness of language models.

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 Ai Prompt Engineer jobs in Virginia? For Ai Prompt Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Ai Prompt Engineer jobs in Virginia look for? The top searched job categories for Ai Prompt Engineer jobs in Virginia are:
What cities in Virginia are hiring for Ai Prompt Engineer jobs? Cities in Virginia with the most Ai Prompt Engineer job openings:
Ai Prompt Engineer jobs near you
Infographic showing various Ai Prompt Engineer job openings in Virginia as of August 2026, with employment types broken down into 71% Full Time, 9% Part Time, and 20% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $110,595 per year, or $53.2 per hour.

AI/ML ENGINEER

BTree Solutions, Inc.

Reston, VA • On-site

Contractor

Re-posted 19 days ago

Job description

Job Title: AI/ML ENGINEER
Location: Reston,VA
Duration: 12+ Months
Visa: USC, GC, H1B and EAD
Contract Type: W2
We are seeking a highly skilled and motivated AI/ML Engineer to join our team and drive the development and optimization of AI solutions. This role is ideal for someone who thrives at the intersection of machine learning, large language models (LLMs), and cloud infrastructure. You will collaborate closely with business stakeholders to design, build, and refine intelligent systems that leverage cutting-edge technologies.
Key Responsibilities
  • Collaborate with business teams to understand requirements and translate them into ML models and prompt-based solutions.
  • Design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI.
  • 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 related services.
  • Build and maintain scalable data pipelines and APIs to support ML workflows.
  • Monitor model performance and iterate based on feedback and metrics.
  • Stay current with advancements in AI/ML and cloud technologies to ensure our solutions remain cutting-edge.

Required Qualifications
  • Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field.
  • 3+ years of experience in machine learning, data science, or AI engineering.
  • Hands-on experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering.
  • Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Deep experience with AWS services, especially Bedrock, S3, EC2, and Lambda
  • Familiarity with MLOps practices and tools for model deployment and monitoring.
  • Excellent problem-solving skills and ability to communicate technical concepts to non-technical stakeholders.
  • Strong programming skills in data analytics related languages and libraries, such as Python, R, Pandas, or JavaScript.
  • Experience with AWS SageMaker for model development and model deployment.
  • Understanding of quantitative/statistical/ML/AI modeling methodologies.
  • Experience in ML engineering, including hands-on experience with Generative AI/LLMs.
  • Experience with developing and deploying AI Agents for business problems.

Preferred Qualifications
  • Experience with fine-tuning or customizing foundation models.
  • Knowledge of data privacy and security best practices in cloud environments.
  • Familiarity with containerization (Docker) and container orchestration is a plus.

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