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Generative Ai Analyst Jobs in Virginia (NOW HIRING)

DCCA

AI - Enigneer/Analyst

Mclean, VA · On-site

... generative AI, and Agentic AI. • Experience analyzing complex data sets to identify patterns and trends, and designs and develops AVML models to solve business problems. • Understands model ...

Carmax

Director, AI/ML Engineering

Richmond, VA · On-site

$181K - $290K/yr

... analytical skills, financial skills, great communication style, a partnership mentality, and ... Lead the adoption of generative AI technologies (including large language models and multimodal AI ...

CarMax, Inc.

Director, AI/ML Engineering

Richmond, VA · On-site

... analytical skills, financial skills, great communication style, a partnership mentality, and ... Lead the adoption of generative AI technologies (including large language models and multimodal AI ...

Carmax

Director, AI/ML Engineering

Richmond, VA

... analytical skills, financial skills, great communication style, a partnership mentality, and ... Lead the adoption of generative AI technologies (including large language models and multimodal AI ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering ... Data Analysis and Data Architecture Skills Strong problem-solving abilities for complex AI/ML ...

Node.Digital LLC

Senior AI/ML Engineer

Herndon, VA · On-site

$140 - $190/hr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering ... Data Analysis and Data Architecture Skills * Strong problem‑solving abilities for complex AI/ML ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering ... Data Analysis and Data Architecture Skills Strong problem-solving abilities for complex AI/ML ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering ... Data Analysis and Data Architecture Skills Strong problem-solving abilities for complex AI/ML ...

Ekcel 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 management ...

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Showing results 21-40

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 14, 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.

AI - Enigneer/Analyst

DCCA

Mclean, VA • On-site

Full-time

Re-posted 8 days ago

Job description

Job Summary:
DCCA is a veteran-owned IT business specializing in innovative solutions for government agencies and commercial enterprises since 1982. They are seeking an AI Engineer/Analyst to develop and implement AI and machine learning solutions, analyze complex data sets, and advise on appropriate solutions for various functions.
Responsibilities:
• Experience developing and implementing artificial intelligence (AI) and machine learning (ML) solutions using emerging technologies such as deep learning, natural language processing, generative AI, and Agentic AI.
• Experience analyzing complex data sets to identify patterns and trends, and designs and develops AVML models to solve business problems.
• Understands model differences and applicability across different use cases to advise on appropriate solutioning for a variety of functions.
• Ability to identify potential data security and integrity issues ahead of implementation.
Qualifications:
Required:
• Candidate must have a TS/SCI w/ Poly
• Experience developing and implementing artificial intelligence (AI) and machine learning (ML) solutions using emerging technologies such as deep learning, natural language processing, generative AI, and Agentic AI.
• Experience analyzing complex data sets to identify patterns and trends, and designs and develops AVML models to solve business problems.
• Understands model differences and applicability across different use cases to advise on appropriate solutioning for a variety of functions.
• Ability to identify potential data security and integrity issues ahead of implementation.
• Entry-Level/ Developmental: High School Diploma + 6 years of experience, Associates Degree + 4 years of experience, Bachelors Degree + 2 years of experience, Masters Degree + 0 years of experience.
• Full Performance / Journeyman: High School Diploma + 8 years of experience, Associates Degree + 6 years of experience, Bachelors Degree + 4 years of experience, Masters Degree + 2 years of experience.
• Senior: High School Diploma + 10 years of experience, Associates Degree + 8 years of experience, Bachelors Degree + 6 years of experience, Masters Degree + 4 years of experience, PhD + 2 years of experience.
• Expert/ Master: High School Diploma + 12 years of experience, Associates Degree + 10 years of experience, Bachelors Degree + 8 years of experience, Masters Degree + 6 years of experience, PhD + 4 years of experience.
Company:
DCCA provides database, systems development and related information technology services. Founded in 1982, the company is headquartered in Ellicott City, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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