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Gpt Jobs in Virginia (NOW HIRING)

Experience fine-tuning models such as LLaMA2 and GPT-4 with custom datasets for varied tasks. Expertise in prompt engineering for GPT-4, GPT-3, LLaMA2, and Gemini Pro. Strong Python development ...

Senior GenAI Developer

Richmond, VA · On-site

$54 - $71.25/hr

Fine-tune Large Language Models like LLAMA2 and GPT-4 for various tasks using custom datasets. * Develop prompts for Large Language Models such as GPT-4, GPT-3, LLAMA2, and Gemini Pro. * Utilize ...

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants, summarization, policy Q&A) using Claude/GPT(Codex)/Gemini, including secure endpoints, tool/function ...

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants, summarization, policy Q&A) using Claude/GPT(Codex)/Gemini, including secure endpoints, tool/function ...

Cloud Security Engineer

Arlington, VA · On-site

$140K - $170K/yr

You are familiar with Artificial Intelligence GPT prompting. What You'll Do * Own vulnerability triage, validation, prioritization, and remediation tracking across cloud, on-prem, and application ...

Experience programming in an AWS cloud environment Experience working with LLMs, such as Claude or GPT * Experience with Tableau * Possession of strong communication skills * Business Analytics, Data ...

GenAI Solution Architect - VA

Norfolk, VA · On-site

$61 - $80.25/hr

R Knowledge of state-of-the-art generative AI models such as GPT-3, DALL-E, and CLIP. Experience with Cloud infrastructure and Platforms - Azure /GCP/AWS Experience with training and evaluating large ...

GenAI Solution Architect - VA

Norfolk, VA · On-site

$61 - $80.25/hr

R Knowledge of state-of-the-art generative AI models such as GPT-3, DALL-E, and CLIP. Experience with Cloud infrastructure and Platforms - Azure /GCP/AWS Experience with training and evaluating large ...

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Gpt information

See Virginia salary details

$36.5K

$138.8K

$203.4K

How much do gpt jobs pay per year?

As of Aug 25, 2026, the average yearly pay for gpt in Virginia is $138,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,300.00 and $184,400.00 per year, depending on experience, location, and employer.

What is a GPT?

A GPT job typically refers to a role related to Generative Pre-trained Transformers (GPT), which are AI models designed for natural language processing tasks. These jobs can involve developing, fine-tuning, or applying GPT models in areas like content generation, customer support automation, and AI research. Positions may include machine learning engineers, NLP researchers, or prompt engineers, depending on the specific application of GPT technology.

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

To thrive as a GPT engineer, you need a strong background in machine learning, natural language processing, and programming languages such as Python, typically supported by a degree in computer science or a related field. Proficiency with deep learning frameworks (like TensorFlow or PyTorch), cloud platforms (such as AWS or Google Cloud), and experience with large language models are crucial. Strong analytical thinking, creativity, and collaborative communication are soft skills that set top performers apart in this field. These skills and qualities are vital to effectively develop, fine-tune, and deploy advanced AI language models that meet real-world applications and ethical standards.

What are some common challenges faced by professionals working as GPT engineers, and how can they overcome them?

GPT engineers often encounter challenges such as fine-tuning models for specific tasks, managing large-scale datasets, and optimizing computational resources. They may also need to address ethical concerns and mitigate biases in generated outputs. To overcome these obstacles, engineers typically collaborate closely with data scientists, ethicists, and DevOps teams, and stay updated with the latest research and best practices in the field. Continuous learning and leveraging open-source tools can also help tackle evolving technical and ethical challenges.

What is the difference between Gpt vs Chatbot Developer?

AspectGptChatbot Developer
Required CredentialsKnowledge of AI, NLP, programming skillsProgramming, AI, UI/UX design
Work EnvironmentAI research labs, tech companiesSoftware companies, customer service teams
Industry UsageAI language models, automationCustomer support, interactive bots
Common Search IntentUnderstanding AI models like GptBuilding or improving chatbots

Gpt refers to advanced AI language models like OpenAI's GPT, focusing on natural language understanding and generation. Chatbot Developers design and implement chatbots, often utilizing models like Gpt. While Gpt is a technology, Chatbot Developers apply such technologies to create interactive applications. Both roles overlap in AI and programming skills but differ in focus: Gpt is a model, whereas Chatbot Developers build user-facing solutions.

What are popular job titles related to Gpt jobs in Virginia?

For Gpt jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Gpt jobs in Virginia look for?

The top searched job categories for Gpt jobs in Virginia are:

What cities in Virginia are hiring for Gpt jobs?

Cities in Virginia with the most Gpt job openings:

Infographic showing various Gpt job openings in Virginia as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $138,830 per year, or $66.7 per hour.

Senior GenAI Architect/Developer

BC Forward

Richmond, VA • On-site

$70.23/hr

Other

Posted 7 days ago


Job description

Job Title: Senior GenAI Architect/Developer Location: Charlotte, NC / Richmond, VA - Onsite required Duration: Contract - 12 months Pay Range: $70.23/hr (W2) Job ID: 408519 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Senior Architect to join our dynamic team on the ENACT Modernization project. The ideal candidate will have strong experience in Python, Azure ML, Generative AI, and data science and a proven ability to design, develop, and deploy GenAI solutions end to end. Responsibilities: Architect and develop GenAI solutions leveraging open-source and proprietary LLMs. Design and implement fine-tuning and prompt engineering strategies for LLMs. Build Retrieval Augmented Generation pipelines and scalable NLP services. Develop APIs and deploy ML models to cloud and application platforms. Required Skills & Qualifications: Proven hands-on experience implementing GenAI projects using open-source LLMs (Llama, GPT OSS, Gemma, Mistral) and proprietary APIs (OpenAI, Anthropic). Experience fine-tuning models such as LLaMA2 and GPT-4 with custom datasets for varied tasks. Expertise in prompt engineering for GPT-4, GPT-3, LLaMA2, and Gemini Pro. Strong Python development skills, including Pandas and NumPy for data analysis and feature engineering. Strong background in Retrieval Augmented Generation implementations and vector search. Expertise in machine learning models such as SVM, Logistic Regression, Random Forest, Naive Bayes, and Neural Networks. Extensive NLP experience: embeddings (Word2Vec, GloVe, FastText, Universal Sentence Encoder, contextual embeddings), topic modeling (LSA), and search (FAISS, Elasticsearch). Deep learning for NLP with libraries such as PyTorch and Hugging Face. Proficiency with Scikit-learn, Pandas, NumPy, NetworkX, and NLTK. Experience deploying ML models to Streamlit, Hugging Face Spaces, or Heroku. Experience building and integrating APIs using REST, FastAPI, or Flask to serve models. Knowledge of agentic AI frameworks and orchestration patterns. Familiarity with cloud platforms such as AWS, Azure, or GCP, with preference for Azure ML. Experience working in Agile environments with strong problem-solving and communication skills. Preferred Skills: Fine-tuning and optimization of open-source LLMs or small language models. Experience with discourse semantics, anaphora resolution, DRT/DRS, and tools such as Boxer, Neural DRS, or JAMR. Experience with SQL and related data tools. Familiarity with Horizon toolset and change management practices. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.