AI engineer

8 to 12 years experienced Engineer Associate in the Market Data team ( digital engineer with digital rights), Commercial & Investment Bank (CIB), you will drive innovation in digital rights and market data discovery by developing advanced AI -powered solutions. As a key contributor, you will leverage your expertise in GenAI, AgenticAI, Python, RAG, and MCP to build and optimize the SCUDO platform—an industry-leading, patented application for digital rights management and market data discovery. You will collaborate with cross-functional teams to deliver high-impact solutions that enhance business user experience, workflow efficiency, and cost transparency. As an Associate Engineer in the Market Data Services team, you will be instrumental in extending SCUDO’s capabilities from digital rights management to a multi-module platform, embedding generative AI for contract data extraction, market data query answering, and AI -driven analytics dashboards. You will be recognized for your technical acumen in AI document parsing, LLM integration, and data management.Design, develop, and maintain advanced solutions for automating extraction, processing, and management of information from diverse document types (PDFs, Word files, scanned images, etc.)Leverage OCR, NLP, and machine learning technologies to accurately parse and structure unstructured and semi-structured data, Optimize the accuracy, performance, and scalability of document parsing pipelines; maintain technical documentation and provide training/support to stakeholders, Document integration architectures, protocols, and operational procedures, Validate data contracts and usage rights, ensuring compliance and optimal utilization, Work extensively with RDF data, utilizing SPARQL for graph queries, Manage and query data using SQL for Oracle databases and No-SQL DSL for ElasticSearch, Collaborate with stakeholders to ensure data solutions meet business and regulatory requirements, Actively participate in Agile ceremonies and two-week sprint cycles, Stay current with advancements in MCP, LLMs, and AI integration technologies, Hands-on experience with large language models (LLMs) and GenAI frameworks, and search technologies,Familiarity with RAG architectures and best practices,Understanding of prompt engineering , model fine-tuning, and evaluation, Strong expertise with RDF data and SPARQL graph query languages, Experience with document parsing technologies (OCR, NLP, machine learning) We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law. #J-18808-Ljbffr