Lead AI Engineer AI & Credit Analytics

• 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 groundtruth 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 AIdriven 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.

Qualifications :

• Masters degree in Computer Science Data Science or a related quantitative field or equivalent practical experience.
• 810 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.

Additional Information :

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: uniqueness is that we celebrate yours. Experians 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. Experians people first approach is award-winning; Worlds 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 Experians 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

Remote Work :

Yes

Employment Type :

Full-time