Great compensation pyckage; bonus plan included; c...
Fully remote
Production-grade ai system development
Generative ai and llm applications
Python and sql proficiency
Experian is seeking a Lead AI Engineer with expertise in AI and credit analytics to build and operate scalable AI systems that enhance credit decisioning workflows. The ideal candidate will have a strong background in data science, machine learning, and experience in financial services, particularly in lending and risk analytics. This remote position offers competitive benefits and a supportive company culture
Job Summary
You will build scalable, production-grade AI systems that automate and enhance credit analytics and credit decisioning workflows.
The role requires developing evaluation and guardrail frameworks to ensure response accuracy and reduce hallucinations in Generative AI applications.
Experian offers a flexible work environment with core benefits including medical, dental, vision, and a matching 401K plan.
Matching Summary
Match Score: 85
Experian is seeking a Lead AI Engineer with expertise in AI and credit analytics to build and operate scalable AI systems that enhance credit decisioning workflows. The ideal candidate will have a strong background in data science, machine learning, and experience in financial services, particularly in lending and risk analytics. This remote position offers competitive benefits and a supportive company culture.
Salary
Great compensation package; Bonus plan included; Core benefits including medical, dental, vision, and matching 401K
Skills & Requirements
Must-have
Production-grade AI system development
Generative AI and LLM applications
Python and SQL proficiency
Credit analytics and lending domain
Regulated environment experience
RAG and prompt design expertise
Nice-to-have
LangGraph orchestration framework
AWS-based cloud-native AI tools
Human-in-the-loop review processes
Model risk management knowledge
Cost and latency optimization skills
Key Requirements
Master's degree in Computer Science or related field
8–10 years of professional experience in data science or AI engineering
Experience in financial services credit and risk environments