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Generative Ai Analyst Jobs in Virginia (NOW HIRING)

Jobtailor

Principal AI Engineer (Agentic AI)

Vienna, VA · On-site

$180 - $240/hr

Core Competencies Demonstrates expertise in developing and implementing AI-driven solutions, with a strong focus on Generative AI, data science, and advanced analytics. Proven ability to lead teams ...

Hexaware Technologies, Inc

AI Engineer

Reston, VA · On-site

Design and develop Generative AI applications using Large Language Models. * Build Retrieval ... Strong analytical and problem-solving abilities. * Excellent communication and stakeholder ...

Bart & Associates

AI-ML Developer

Ashburn, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop, train, and deploy advanced AI/ML models, including generative AI techniques like large ... Data Analytics: Expertise with libraries such as Pandas and NumPy for data manipulation and ...

Bart and Associates, Inc

AI-ML Developer

Ashburn, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop, train, and deploy advanced AI/ML models, including generative AI techniques like large ... Data Analytics: Expertise with libraries such as Pandas and NumPy for data manipulation and ...

B&A

AI-ML Developer

Ashburn, VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop, train, and deploy advanced AI/ML models, including generative AI techniques like large ... Data Analytics: Expertise with libraries such as Pandas and NumPy for data manipulation and ...

Interon IT Solutions

AI/ML Engineer

Reston, VA · On-site

Design and implement end-to-end AI/ML and Generative AI solutions using Python , including training ... time analytics, and model inference. * Architect and operationalize RAG pipelines , embeddings ...

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All JobsGenerative Ai Analyst JobsGenerative Ai Analyst Jobs in Virginia

Generative Ai Analyst information

See Virginia salary details

$48.6K

$87.8K

$122.4K

How much do generative ai analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for generative ai analyst in Virginia is $87,809.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $98,600.00 per year, depending on experience, location, and employer.

What is the difference between Generative Ai Analyst vs Data Scientist?

AspectGenerative Ai AnalystData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; certifications in AI/MLBachelor's/Master's in CS, Statistics, or related fields; advanced certifications
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Employer & Industry UsageFocus on developing and refining generative AI modelsAnalyze data, build predictive models, derive insights
Common Search & Comparison IntentUnderstanding roles in AI developmentData analysis and modeling skills

While both roles require strong technical skills and knowledge of AI and data analysis, a Generative Ai Analyst specializes in creating and optimizing generative AI models, whereas a Data Scientist focuses on analyzing data to inform business decisions. The roles often overlap but differ in their primary focus and application within organizations.

What are the key skills and qualifications needed to thrive as a generative AI analyst?

To thrive as a Generative AI Analyst, you need a solid background in data science, machine learning, and statistics, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, and experience with large language models or generative adversarial networks (GANs) is typically required. Strong analytical thinking, creativity, and effective communication skills help you interpret complex data and present insights to stakeholders. These skills and qualities are crucial for developing innovative AI solutions, solving business challenges, and driving impactful results.

How does a generative AI analyst typically collaborate with data scientists and engineering teams?

A Generative AI Analyst frequently works alongside data scientists and engineering teams to interpret model outputs, assess data quality, and help translate business objectives into technical requirements. Collaboration usually involves regular meetings to review model performance, troubleshoot issues, and refine algorithms based on real-world feedback. Effective communication and a shared understanding of both AI concepts and business goals are essential, as the analyst often serves as a bridge between technical teams and stakeholders. This collaborative environment fosters continuous learning and innovation, making teamwork a core aspect of the role.

How much do generative AI analysts make?

Generative AI analysts typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with specialized skills in machine learning and natural language processing can earn higher salaries.

What is a generative AI analyst?

A Generative AI Analyst is a professional who specializes in analyzing, designing, and optimizing systems that use generative artificial intelligence models, such as large language models or image generators. Their work involves understanding how these AI models are developed, deployed, and utilized across various applications. They assess data quality, monitor model outputs, evaluate performance, and help improve the effectiveness and ethical use of generative AI technologies. Generative AI Analysts may also provide insights to organizations on best practices, risk management, and innovation opportunities related to AI. Their expertise bridges the gap between data science, AI development, and business strategy.

What are popular job titles related to Generative Ai Analyst jobs in Virginia?

For Generative Ai Analyst jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Generative Ai Analyst jobs in Virginia look for?

The top searched job categories for Generative Ai Analyst jobs in Virginia are:

What cities in Virginia are hiring for Generative Ai Analyst jobs?

Cities in Virginia with the most Generative Ai Analyst job openings:

Generative Ai Analyst jobs near you
Infographic showing various Generative Ai Analyst job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Hybrid job distribution, with an average salary of $87,809 per year, or $42.2 per hour.

Principal AI Engineer (Agentic AI)

Jobtailor

Vienna, VA • On-site

$180 - $240/hr

Other

Posted 9 days ago

Job description

  • Develop and implement AI-driven solutions that enhance and scale AI adoption across Navy Federal Credit Union.
  • Lead the design and implementation of cutting-edge AI systems using large language models to solve complex business problems.
  • Collaborate with ETS and Business partners to build and drive AI solutions.
  • Provide delivery and ongoing support for data science, advanced analytics, and augmented intelligence technologies.
  • Exhibit excellent problem-solving skills and demonstrate strong leadership qualities with a proven track record of delivering measurable outcomes.
Requirements
  • Bachelor's Degree in Computer Science, Statistics, Engineering or related field, or the equivalent combination of education, training and experience.
  • 7-10 years of experience in AI or similar.
  • Experience with modern Generative AI and agentic patterns (e.g., LLM workflows, orchestration frameworks, RAG, grounding, evaluation, safety controls).
  • Experience establishing AI standards, best practices, and scalable enablement mechanisms (reference architectures, reusable components).
  • Proven track record of driving and coordinating use of GenAI Code Assistants (GitHub Copilot, etc.) to drive Developer Productivity initiatives across the organization with clear value metrics.
  • Hands-on experience building production grade AI agents using industry leading platforms (Azure AI Foundry, etc.) and related technologies such as MCP or A2A.
  • Experience with data platforms (Databricks, etc.) and organizing, cataloging and chunking of unstructured data for scalable Generative-AI solutions and robust knowledge management.
  • Experience with vector stores and graph databases for managing complex relationships to use in AI applications such as recommendation systems.
  • Robust experience in Azure AI/Data solutions and a deep understanding of the evolving AI landscape, with proven track record in API integrations for accessing LLMs.
  • Demonstrated experience conducting threat modeling and implementing security controls for AI systems, including prompt-injection defenses, data-loss prevention, agent authorization, secure tool execution, secrets management, and adversarial testing.
  • Experience operationalizing Responsible AI and model-risk requirements through technical controls, evaluation criteria, documentation, human-in-the-loop patterns, traceability, and auditable evidence.
  • Advanced software engineering skills in Python and API/service development, with experience designing distributed, resilient, containerized systems and implementing automated testing
  • Experience with Agile/SAFe delivery and CI/CD practices for AI solutions.
  • Significant experience working with structured and unstructured data.
  • Significant experience in developing sophisticated algorithms to automate processes and tasks.
  • Advanced knowledge of current AI technologies and concepts.
Core Competencies

Demonstrates expertise in developing and implementing AI-driven solutions, with a strong focus on Generative AI, data science, and advanced analytics. Proven ability to lead teams, establish AI standards, and operationalize Responsible AI practices while delivering measurable outcomes.

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