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Full Time Generative Ai Jobs in Virginia (NOW HIRING)

Engineering Time Type: Full time Minimum Clearance Required to Start: None Employee Type: Regular ... Develop, refine, and iterate on prompts for various generative AI models (LLMs) to elicit desired ...

Experience working with LLMs, generative AI systems, or agentic frameworks * Knowledge of AI ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AI/ML Engineer

Mclean, VA · On-site

$55K - $126K/yr

Experience working with LLMs, generative AI systems, or agentic frameworks * Knowledge of AI ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Experience working with LLMs, generative AI systems, or agentic frameworks * Knowledge of AI ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

... full time. • 8 years of experience with a Bachelor's degree; or 7 years of experience with a ... generative AI, reinforcement learning, computer vision, or related disciplines. • Experience ...

Willingness to work onsite full time. Preferred Skills: * Advanced research experience in machine learning, deep learning, natural language processing, generative AI, reinforcement learning, computer ...

Willingness to work onsite full time. * US citizenship required. * Senior Labor Category: Minimum 8 ... generative AI, reinforcement learning, computer vision, or related disciplines. * Experience ...

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Full Time Generative Ai information

What is the difference between Full Time Generative Ai vs Data Scientist?

AspectFull Time Generative AiData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with machine learning and deep learningDegree in Data Science, Statistics, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI startups, research labs; focus on developing generative modelsVarious industries including finance, healthcare, tech; analyze data to inform decisions
Employer & Industry UsagePrimarily in AI and tech sectors; creating generative AI applicationsAcross industries; extracting insights from data for strategic decisions

Full Time Generative Ai roles focus on developing and deploying generative AI models, requiring expertise in AI algorithms and programming. Data Scientists analyze data to generate insights, often using statistical tools. While both roles involve data and programming skills, Generative Ai specialists concentrate on AI model creation, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Generative Ai jobs in Virginia? The most popular types of Generative Ai jobs in Virginia are:

AI / ML Subject Matter Expert (SME)

HRC Global Services

Reston, VA • On-site

Full-time

Re-posted 26 days ago


Job description

AI / ML Subject Matter Expert (SME)

Job Title: AI / ML SME – Generative AI & Advanced ML
Location: Remote / Hybrid (U.S.)
Employment Type: Full-Time

About the Opportunity:
Join a cutting-edge team driving AI innovation across enterprise systems. This role focuses on building scalable AI/ML solutions including Generative AI, LLMs, and advanced data pipelines.

Key Responsibilities:

  • Design and deploy AI/ML models including LLMs and RAG-based systems
  • Lead development of intelligent automation solutions
  • Collaborate across teams to build scalable AI platforms
  • Implement ML pipelines, CI/CD, and MLOps frameworks
  • Guide stakeholders on AI adoption and best practices

Required Skills:

  • 5+ years in AI/ML / Data Science / ML Engineering
  • Strong expertise in Python, SQL, and ML frameworks
  • Experience with cloud platforms (AWS / Azure / GCP / Databricks)
  • Hands-on experience with LLMs, RAG, Generative AI
  • Experience with Git, CI/CD, and model deployment

Advanced Requirements:

  • Experience with Hugging Face, LLaMA, LangChain or similar
  • Knowledge of model tuning, experimentation, and evaluation
  • Strong understanding of ML lifecycle and data pipelines

Nice to Have:

  • Experience with Agentic AI (AutoGen, LangGraph, CrewAI)
  • Knowledge graphs / federated learning
  • Research / publications in AI

Clearance: Public Trust (or eligible)

Hashtags:
#AI #MachineLearning #GenerativeAI #LLM #LangChain #Databricks #MLOps #CloudAI #TechLeadership #Hiring