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Generative Ai Analyst information

See Washington salary details

$55.5K

$100.3K

$139.9K

How much do generative ai analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for generative ai analyst in Washington is $100,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $112,700.00 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 Washington? For Generative Ai Analyst jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Generative Ai Analyst jobs in Washington look for? The top searched job categories for Generative Ai Analyst jobs in Washington are:
What cities in Washington are hiring for Generative Ai Analyst jobs? Cities in Washington with the most Generative Ai Analyst job openings:
Generative Ai Analyst jobs near you
Infographic showing various Generative Ai Analyst job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $100,312 per year, or $48.2 per hour.

Artificial Intelligence (AI) Analyst / Engineer with Security Clearance

Synertex LLC

Bethesda, MD • On-site

Other

Re-posted 7 days ago

Job description

Artificial Intelligence (AI) Analyst / Engineer 📍 Bethesda, MD | McLean, VA | Chantilly, VA 📌 Full-Time | On-site | Position Contingent Upon Award Join a mission that matters. We are seeking a skilled Artificial Intelligence Analyst / Engineer to support critical government and intelligence programs by developing and implementing advanced AI and machine learning solutions. This role focuses on applying emerging technologies to complex datasets, designing AI/ML models, and advising on appropriate solutioning to support mission and business objectives Position Overview:  Develops and implements AI and ML solutions using emerging technologies including deep learning, NLP, generative AI, and agentic AI. Analyzes complex datasets, designs models to solve business problems, and advises on appropriate AI solutioning.  RESPONSIBILITIES: * Develop and implement AI and machine learning solutions using deep learning, natural language processing, generative AI, and agentic AI. * Analyze complex datasets to identify patterns and trends and develop AI/ML models to address mission requirements. * Advise on appropriate AI/ML solutions by understanding model differences and applicability across use cases. * Identify potential data security and integrity issues prior to implementation. REQUIREMENTS: TS/SCI clearance with polygraph required, including additional security screenings Education and Experience Requirements Candidates must meet the following minimum education and relevant experience combinations by level: Entry Level: * HS/GED + 6 years experience * Associate's + 4 years experience * Bachelor's + 2 years experience * Master's degree (experience may be substituted as appropriate) Journeyman Level: * HS/GED + 8 years experience * Associate's + 6 years experience * Bachelor's + 4 years experience * Master's + 2 years experience Senior Level: * HS/GED + 10 years experience * Associate's + 8 years experience * Bachelor's + 6 years experience * Master's + 4 years experience * PhD + 2 years experience Expert / Master Level: * HS/GED + 12 years experience * Associate's + 10 years experience * Bachelor's + 8 years experience * Master's + 6 years experience * PhD + 4 years experience Join a mission-driven team advancing government communication capabilities and operational readiness. Apply today and become part of Synertex LLC's legacy of innovation, leadership, and excellence.
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About Synertex

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

McLean, VA, US

Year founded

2017

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