You will build scalable, production-grade AI systems that automate and enhance credit analytics and credit decisioning workflows.
Develop and integrate AI solutions across the credit lifecycle, including:
Origination
Underwriting
Limit setting
Portfolio monitoring
Model validation
Develop evaluation and guardrail frameworks to ensure response accuracy, reduce hallucinations, and support human-in-the-loop review, including offline testing with ground-truth datasets.
Develop and operate enterprise-grade AI services with a focus on:
Scalability
Security
Reliability
Performance
Latency optimization
Implement LLMOps and GenAI operational practices, including:
Prompt management
Model versioning
Monitoring
CI/CD pipelines
Observability for cost, latency, and response quality
Partner with analytics, engineering, and product teams to embed AI into existing platforms and deliver new AI-driven capabilities across the organization.
Evaluate and adopt modern orchestration frameworks and cloud-native AI tools (such as LangGraph and AWS-based services), while staying current with new AI system design patterns.
Qualifications
Master's degree in Computer Science, Data Science, or a related quantitative field, or equivalent practical experience.
8–10 years of professional experience in data science, machine learning, or AI engineering, to build and operate production-grade AI, ML, or Generative AI systems.
Domain experience in financial services, with exposure to credit, lending, risk, or analytics-driven decisioning environments.
Experience working in regulated or governed environments, with understanding of data governance, model risk management, regulatory compliance, and responsible AI practices.
Hands-on experience developing Generative AI and LLM-based applications, including retrieval-augmented generation (RAG), prompt design, evaluation methods, and system optimization in production environments.
Proficiency in Python (required) and SQL.
Familiarity with modern Generative AI frameworks.
You will report to the Senior Director, Data Modeling.
Benefits
Great compensation package and bonus plan.
Core benefits including medical, dental, vision, and matching 401K.
Flexible work environment, ability to work remote, hybrid or in-office.
Flexible time off including volunteer time off, vacation, sick and 12-paid holidays.
Explore all our exciting benefits here:
Experian Benefits
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Experian's culture and people are important differentiators, focusing on DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering.
Award-winning people first approach, recognized as: