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.

Master's degree in Computer Science, Data Science, or a related quantitative field, or equivalent practical experience.
8–10 years of professional experience in data science, machine learning, or AI engineering.
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.

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
DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering

Lead AI Engineer – AI, Credit Analytics

Key skills