Senior AI Engineer – AI & Credit Analytics

🕒 Maio 27

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $133.109 - $239.596 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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Experian

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1996

🤖 Inteligência Artificial

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

A Experian libera o poder dos dados para criar oportunidades para consumidores, empresas e a sociedade.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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