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Generative Ai Analyst information

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$41.4K

$74.8K

$104.3K

How much do generative ai analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for generative ai analyst in Georgia is $74,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $84,000.00 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 Georgia? For Generative Ai Analyst jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Generative Ai Analyst jobs in Georgia look for? The top searched job categories for Generative Ai Analyst jobs in Georgia are:
What cities in Georgia are hiring for Generative Ai Analyst jobs? Cities in Georgia with the most Generative Ai Analyst job openings:
Generative Ai Analyst jobs near you
Infographic showing various Generative Ai Analyst job openings in Georgia 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 $74,786 per year, or $36 per hour.

Generative AI Engineer

Equifax, Inc.

Atlanta, GA • On-site

$140 - $190/hr

Other

Posted 16 days ago

Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

Job description

We seek a dynamic and driven individual with a strong technical foundation to serve as a Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that generate actionable insights for our business and customers.

This key position involves working with large data sources on Google Cloud Platform (GCP) and Google AI Platform, designing, developing, and implementing cutting-edge generative AI solutions on Vertex AI.

This is a unique opportunity to shape the future of AI within the company, driving innovation by leveraging our cloud-native technology (GCP/Vertex AI). Strong communication skills are required, and financial industry experience is preferred. This position provides an opportunity to work with best-in-class technology and a rich big data ecosystem.

This role requires being in either our Alpharetta or Atlanta, Georgia office 4 days/week on Mon - Thurs.

This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.

What you'll do
  • Develop and deploy key components of GenAI solutions on Google Cloud Vertex AI to generate insights from structured and unstructured data.
  • Integrate diverse data sources, data types, and data structures into AI / LLM based solutions, using data and technology best practices.
  • Implement prompt engineering and RAG (Retrieval-Augmented Generation) strategies to improve response accuracy.
  • Integrate GenAI capabilities into data pipelines and dashboards, and APIs for real-time analytics.
  • Understand how business requests translate into AI-enabled analytical and technical solutions.
  • Develop and maintain a deep understanding of the latest advancements in AI, particularly in generative AI and its applications in data analysis and insight generation.
  • Communicate complex technical concepts clearly and concisely to both technical and non-technical audiences.
What experience you need
  • Bachelor's degree or higher in Computer Science or Computer Engineering, Statistics, Mathematics, or a related quantitative field
  • 2+ years in shipping production grade software.
  • 1+ years experience in deploying solutions on modern cloud environments.
  • Ability to learn and apply new technologies; passion for staying abreast of the latest advancements in Generative AI research and technology; passion for AI research and a strong desire to contribute to cutting-edge projects
  • Proficiency in Python, LangChain, and either Java or C/ C++
  • Experience with REST API clients and platforms such as Spring/ Flask.
  • Strong communication skills of analytical results to technical and non-technical audiences alike
What could set you apart
  • Master's degree in a related field is a strong plus
  • Exposure in Vertex AI, GCP AI/ML services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud technology
  • Strong foundational skills in Linux Operating System.
  • Understanding of NLP, deep learning, and generative architectures (Transformers, Diffusion Models, etc.)
  • Background in credit risk, financial data analytics or risk modeling.
  • Experience working with large datasets on a big data platform (e.g., Google Cloud, AWS, Snowflake, Hadoop)
  • Experience in Business Intelligence, data visualization, and customer insights generation.
  • Familiarity with data governance, model bias mitigation, and regulatory frameworks (GDPR, AI Act, SEC compliance).
  • Experience with MLOps practices, model monitoring, and CI/CD for AI workflows.
  • Knowledge of prompt tuning, fine-tuning, and parameter-efficient methods (LoRA, PEFT).
  • Hands-on experience with RAG, multi-modal AI, and hybrid AI architectures.
  • Contributions to the AI community through publications, open-source projects, or conference presentations.
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What Equifax employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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