Applied AI Engineer (Office of the CEO)

Join Pagaya, a leading financial technology company, as an Applied AI Engineer embedded within the Office of the CEO. In this high-impact role, you will drive AI-enabled business transformation by building and deploying practical AI solutions, automations, and intelligent agents. You will work closely with key business functions across Capital Markets, Finance, and Operations, translating complex financial workflows into scalable AI systems. The ideal candidate will have a strong background in Business Intelligence, hands-on AI engineering capabilities, and exceptional communication skills.

• Act as the primary technical builder, advisor, and problem-solver for AI-enabled workflow transformations, starting in the Office of the CEO and expanding into Capital Markets, Finance, and key operational units.
• Identify manual, repeated, or data-dense business processes and build production-ready AI tools, customized copilots, and agentic workflows to streamline execution.
• Leverage a robust background in Business Intelligence and data analysis to connect LLMs, foundation models, and AI agent frameworks directly into Pagaya’s data infrastructure, dashboards, and financial models.

• Business Intelligence Core: Strong mastery of SQL, data modeling, BI tools (e.g., Tableau, PowerBI, Looker), and experience processing, analyzing, and structuring large data sets
• Modern AI Tooling & Frameworks: Hands-on experience with modern LLM APIs/ecosystems (OpenAI, Claude, Gemini), agentic orchestration frameworks, RAG (Retrieval-Augmented Generation) architectures, and enterprise AI platforms
• Experience: 4+ years of experience in data engineering, business intelligence, or software engineering with demonstrated hands-on experience building applied AI solutions, internal tools, or AI-driven automations
• Communication & Stakeholder Management: Exceptional written and verbal communication skills with a proven track record of distilling technical and financial concepts for non-technical leadership and cross-functional teams
• Preferred: Prior exposure to financial services, structured finance, fixed income, or capital markets workflows is a strong plus
• Adaptability & Drive: An entrepreneurial mindset with the ability to manage multiple complex, fast-paced projects simultaneously, delivering meticulously accurate, self-audited work within tight deadlines
• Technical & Coding Proficiency: Advanced proficiency in Python (or JavaScript/TypeScript) for data manipulation, backend scripting, and rapid software prototyping; comfort generating, debugging, and refactoring AI-generated code
• Education: Bachelor’s degree in Computer Science, Data Science, Information Systems, Finance, Engineering, or an equivalent quantitative discipline required