Senior AI Engineer – AI & Credit Analytics

This position is in our Financial Services and Data group, and works heavily in credit analytics. You will report to the Senior Director of Data Modelling. This is a remote position.

• 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, and model validation.
• You will 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.
• You will develop and operate enterprise-grade AI services with a focus on scalability, security, reliability, performance, and latency optimization.
• You will implement LLMOps and GenAI operational practices, including prompt management, model versioning, monitoring, CI/CD pipelines, and observability for cost, latency, and response quality.
• You will partner with analytics, engineering, and product teams to embed AI into existing platforms and deliver new AI‑driven capabilities across the organization.
• You will 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.

• 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
• You will report to the Senior Director, Data Modeling.

Our uniqueness is that we celebrate yours. Experian‘s people first, inclusive and purpose driven culture is multi award-winning; World’s Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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://myexperianbenefits.com/

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Originally posted on Himalayas