Senior AI Engineer

Design, build, and deploy AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent agents for financial use cases. Develop AI workflows capable of analyzing multidimensional financial data and generating automated financial insights and recommendations. Build integrations between AI solutions and enterprise planning platforms such as Workday Adaptive Planning, CaptivateIQ, or Anaplan. Develop automation pipelines that perform variance analysis, financial forecasting, and narrative generation for monthly and quarterly reporting. Translate complex business requirements from Finance, FP&A, and Revenue Operations teams into scalable Python- and SQL-based solutions. Design semantic layers and AI workflows that support financial planning, incentive compensation, and operational reporting. Collaborate with Finance Directors and executive stakeholders to understand business needs and deliver AI-driven solutions. Ensure AI solutions comply with corporate governance, security standards, data access policies, and SOC2 requirements. Optimize prompt engineering strategies and AI model performance to maximize accuracy and business value. Continuously evaluate emerging AI technologies and recommend improvements to financial automation capabilities. 4+ years of experience in software engineering, AI engineering, data engineering, or related technical roles. At least 2 years of hands-on experience building AI or Machine Learning applications. Strong proficiency in Python and SQL. Experience working with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar. Experience with vector databases and Retrieval-Augmented Generation (RAG) architectures. Strong prompt engineering and AI workflow design experience. Proven experience working with Corporate Finance, FP&A, Accounting, Revenue Operations, or similar business functions. Deep understanding of SaaS financial metrics including ARR, NRR, deferred revenue, budgeti