Senior AI Engineer - AI & Credit Analytics

Experian • ,, ,

3d • $133,109 - $239,596 • Remote

About The Position

This position is in Experian's Financial Services and Data group, focusing heavily on credit analytics. The role involves building scalable, production-grade AI systems to automate and enhance credit analytics and decisioning workflows. Key responsibilities include developing and integrating AI solutions across the credit lifecycle, creating evaluation and guardrail frameworks for AI response accuracy and human-in-the-loop review, and operating enterprise-grade AI services with a focus on scalability, security, reliability, performance, and latency optimization. The role also entails implementing LLMOps and GenAI operational practices, partnering with various teams to embed AI into existing platforms, and evaluating/adopting modern orchestration frameworks and cloud-native AI tools.

Requirements

• Master's degree in Computer Science, Data Science, or a related quantitative field, or equivalent practical experience.
• 8+ 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.

Responsibilities

• 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, and 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, and latency optimization.
• Implement LLMOps and GenAI operational practices, including prompt management, model versioning, monitoring, CI/CD pipelines, and 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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior