Lead AI Engineer - AI & Credit Analytics at Experian in Costa Mesa, CA

companyDescription Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. jobDescription You will design scalable, production-grade agentic AI systems to automate and enhance credit analytics and credit decisioning workflows. You will integrate AI solutions across the credit lifecycle, including origination, underwriting, limit setting, portfolio monitoring, model validations and other use cases Prototype, evaluate, and productionize GenAI solutions, translating new industry advancements into scalable enterprise applications You will design and manage memory and state systems, including conversational memory and long-term knowledge storage (vector and structured data) You will design advanced RAG-based architectures including hybrid retrieval, query planning, re-ranking, and grounding validation applying both structured and unstructured enterprise data sources Establish evaluation and guardrail frameworks, including hallucination detection, response validation, and human-in-the-loop controls including offline evaluation using ground truth datasets and controlled validation cycles Build and deploy enterprise-grade GenAI services with focus on scalability, reliability, security, latency optimization and performance tuning in Implement LLMOps / GenAIOps practices, including prompt versioning, model routing, monitoring, CI/CD pipelines and observability metrics (latency, cost, token usage, and response quality) You will collaborate with teams (analytics, engineering, product) to embed AI into existing solutions and develop new AI-driven offerings, being a bridge between platform engineering and AI application teams Leverage and evaluate modern orchestration frameworks and cloud-native tools (e.g., LangGraph, AWS Bedrock, AWS Strands SDK or similar), while staying current with new paradigms such as MCP and A2A qualifications Master's degree in Computer Science, Data Science, or a related quantitative field 8–10 years of experience in data science, machine learning, or AI engineering, with experience building production-grade AI/ML or GenAI systems Domain experience in financial services Experience working in regulated environments, with understanding of data governance, model risk management, compliance, and responsible AI considerations Hands-on experience with Generative AI and LLM-based applications, including RAG architectures, prompt engineering, evaluation techniques, and system optimization in production-grade environments (not limited to prototyping) Proficiency in Python (required) and SQL, with an ability to build scalable pipelines, APIs, and production-ready AI solutions Familiarity with modern GenAI frameworks You will be reporting to the Senior Director, Data Modeling additionalInformation Benefits/Perks: 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: https://yourexperianbenefits.com/cand-index.htmlOur uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Remote