Generative AI Engineer / QA Engineer
Immigration summary
Visa sponsorship
This posting says it cannot offer visa sponsorship for this role.
17 of 147 recent openings here state a sponsorship restriction
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72 recent certified PERM filings · 6 similar-role filings
View green card evidenceJob description
Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
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.
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-Atlanta-One-Atlantic-Center
USA-Atlanta JV White
Function:
Function - Data and Analytics
Schedule:
Full time
Sponsorship evidence
Why Openbound reached the conclusions above.
Visa sponsorship evidence
Current posting
Sponsorship restriction stated
“Unable to provide sponsorship”
Detected directly from this job posting.
Other openings
17 of 147 recent openings at this employer state a sponsorship restriction.
Employer H-1B history
- 205
- recent certified H-1B filings
- 46
- new-hire petitions
- 0
- filings for similar roles
- 148
- so far in FY2026
Filed titles like this role: data scientist - career · data engineer - career · data engineer - specialist · data scientist - intermediate
More evidence details
- 17 certified H-1B filings for closely related roles, though none for this exact title
- 205 recent certified H-1B filings across the employer
- Still filing this year — 148 filings in FY2026
- 34 USCIS H-1B new-employment approvals, counted separately from LCA filings
- 549 further USCIS approvals for extensions or transfers
- 17 other recent postings at this company state a sponsorship restriction
- The supporting filings are for related work, not for this exact role
- No filing activity is recorded for this job's location
Green card sponsorship evidence
Employer PERM history
- 72
- recent certified PERM filings
- 6
- filings for similar roles
Filing history reflects past employer behavior; it isn't a promise for this opening.
All open roles at EquifaxHow Openbound evaluates sponsorship
Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.
An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence. 157 filing titles were examined for this employer.
What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.