Generative AI Expert

Posted 2 Days Ago
Be an Early Applicant
Atlantic, IA
Senior level
Fintech • Consulting
The Role
As a Generative AI Expert at Equifax, you will design, develop, and deploy generative AI solutions using Google Cloud Vertex AI. You'll work with large datasets, integrate diverse data sources, consult with stakeholders, ensure AI governance, and provide technical leadership. Staying abreast of advancements in AI will be essential for this role.
Summary Generated by Built In

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 are seeking a dynamic, hands-on leader with a proven track record in technical leadership to serve as a Generative AI Expert.

As a Generative AI Expert, you will leverage our data, technology, and analytics to 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).

What You’ll Do

  • Architect, design, develop, and deploy end-to-end 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. 
  • Integrate GenAI capabilities into data pipelines and dashboards, and APIs for real-time analytics. 
  • Consult with stakeholders across the organization to gather and understand business requirements, translating business requests into AI-enabled analytical and technical solutions. 
  • Work with cross-functional teams (technology, product) to translate business needs into technology requirements needed to create and deploy AI-driven solutions. 
  • Implement prompt engineering and RAG (Retrieval-Augmented Generation) strategies to improve response accuracy. 
  • Ensure AI governance, model interpretability, and regulatory compliance within financial industry guidelines. 
  • Optimize AI models for scalability, efficiency, and cost-effectiveness on GCP. 
  • Provide technical leadership and guidance to the AI team and across the organization, fostering a culture of innovation and collaboration. 
  • 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'll need

  • Master’s degree or higher in Mathematics, Statistics, Data Science, Computer Science, Engineering, or a related quantitative field
  • 5+ years in developing AI/ML solutions
  • 1+ years experience with developing or deploying solutions with GenAI / LLMs
  • 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
  • Expertise in Vertex AI, GCP AI/ML services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud technology
  • Proficiency in Python, LangChain, and Google AI APIs or similar
  • Experience with LLM embeddings, vector databases (e.g. Google’s vector search). 
  • Understanding of NLP, deep learning, and generative architectures (Transformers, Diffusion Models, etc.)
  • Experience working with large datasets on a big data platform (e.g., Google Cloud, AWS, Snowflake, Hadoop)
  • Strong communication skills of analytical results to technical and non-technical audiences alike


What could set you apart

  • Background in credit risk, financial data analytics or risk modeling.
  • 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

Function:

Function - Data and Analytics

Schedule:

Full time

Top Skills

Automl
AWS
Bigquery Ml
Cloud Run
Deep Learning
Diffusion Models
Google Ai Apis
Google Ai Platform
GCP
Google Cloud Platform
Hadoop
Langchain
Mlops
Nlp
Python
Snowflake
Transformers
Vertex Ai
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The Company
HQ: Atlanta, GA
16,742 Employees
On-site Workplace

What We Do

At Equifax (NYSE: EFX), we believe knowledge drives progress. As a global data, analytics, and technology company, we play an essential role in the global economy by helping financial institutions, companies, employers, and government agencies make critical decisions with greater confidence. Our unique blend of differentiated data, analytics, and cloud technology drives insights to power decisions to move people forward.

Headquartered in Atlanta and supported by nearly 15,000 employees worldwide, Equifax operates or has investments in 24 countries in North America, Central and South America, Europe, and the Asia Pacific region.

For more information, visit Equifax.com.

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