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Generative Ai Engineer Jobs in Georgia (NOW HIRING)

Generative AI Engineer

Atlanta, GA · On-site

$140 - $190/hr

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 ...

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 ...

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 ...

AI Engineer

Atlanta, GA · On-site

$69K - $89K/yr

Generative AI and Large Language Models * Prompt engineering and prompt optimization * LLM testing and AI quality assurance * RAG, vector databases, semantic search, and embeddings * AI evaluation ...

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

AI Engineer

Atlanta, GA

$110K - $150K/yr

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

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Generative Ai Engineer information

See Georgia salary details

$32.1K

$97.8K

$161.7K

How much do generative ai engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for generative ai engineer in Georgia is $97,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,100.00 and $127,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What are the most commonly searched types of Generative Ai Engineer jobs in Georgia? The most popular types of Generative Ai Engineer jobs in Georgia are:
What are popular job titles related to Generative Ai Engineer jobs in Georgia? For Generative Ai Engineer jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Generative Ai Engineer jobs? Cities in Georgia with the most Generative Ai Engineer job openings:
Infographic showing various Generative Ai Engineer job openings in Georgia as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $97,834 per year, or $47 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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Pay

Benefits

Hours and flexibility

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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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