Director of Engineering, Applied AI

Director of Engineering, Applied AI leads the design, development, and delivery of AI-driven capabilities across enterprise platforms. The role focuses on scaling Applied AI and generative AI initiatives, coordinating with Data Engineering, Application Development & Integrations, and business teams, and building a team of AI Engineers. Responsibilities include driving the technical roadmap for Applied AI, implementing cutting-edge AI techniques (including LLMs and Retrieval-Augmented Generation), designing systems to extract value from large structured and unstructured data (e.g., PDFs in S3, SharePoint, emails) using LLMs, RAG, and RLHF, building Agentic AI systems to automate workflows, and ensuring production-ready, scalable AI solutions with a focus on privacy, IP, and ethical standards. The role emphasizes cross-functional delivery, measurable performance, and long-term maintainability, with a strong emphasis on engineering excellence and collaborative leadership.