Generative AI Engineer

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.

We seek a dynamic technical expert to serve as a Generative AI Engineer. 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 (Google Cloud Platform) 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 (Google Cloud Platform/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.
• 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.
• Optimize AI models for scalability, efficiency, and cost-effectiveness on Google Cloud Platform.
• 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.
• Ensure AI governance, model interpretability, and regulatory compliance within financial industry guidelines.
• 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 need

• Bachelor'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, Google Cloud Platform 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 embeddings, vector databases and RAG (e.g. Google's vector search)
• Understanding of NLP, deep learning, and generative architectures (Transformers, Diffusion Models, etc.)
• 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
• 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

Function:
Function - Data and Analytics

Schedule:
Full time

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.