AI Solutions & Finance Modeling Lead

Guardian Life - New York, NY

Hiring: AI Solutions & Finance Modeling Lead Company: Guardian Life Location: New York, NY Job Posted Time: 2026-09-16 15:43:24 Employment Type: Full-time / Hybrid Target Skills & Keywords : AI, AWS, Azure, GCP, Groovy, LLM, Machine Learning, NLP, Python, RAG, SQL, User Experience About the job Experience: •2+ years of experience working with AI/ML technologies, including LLMs, prompt engineering, and AI agent development •5+ years of hands-on experience with Oracle EPM Planning (PBCS/EPBCS) including model design, business rules, and integrations (Preferred but not required) Required Skills: •AI Agent & Solutions Development: •Design and deploy AI agents using platforms such as Claude Cowork, Microsoft Copilot Studio, OpenAI APIs, and Azure AI Services to automate routine planning tasks •Build custom AI solutions that assist finance users with natural language queries, scenario modeling, and variance analysis •Develop intelligent automation workflows using AI to streamline data collection, consolidation, and reporting processes •Create conversational AI interfaces that enable business users to interact with planning data through natural language •Implement retrieval-augmented generation (RAG) systems to provide context-aware financial insights and recommendations •Train and fine-tune large language models (LLMs) on Guardian-specific financial data and terminology •Intelligent Analytics & Decision Support: Qualifications: •Proficiency in Groovy scripting with demonstrated use of AI coding assistants (Amazon CodeWhisperer, or similar) •Strong SQL skills and experience with data integration tools (ODI, FDMEE, or similar) •Operational familiarity with Python for AI/ML model development and data analysis •Understanding of machine learning concepts including supervised learning, time series forecasting, and natural language processing •Demonstrated ability to design and implement AI agents and chatbots for business applications •Knowledge of RAG architectures and vector databases for knowledge retrieval •Understanding of AI model evaluation metrics and performance monitoring •Operational familiarity with AI ethics, bias detection, and responsible AI practices Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!