The Company is in search of a VP AI Engineer to join their team. This hands-on engineering role is pivotal in the design, building, and deployment of production-grade AI applications at scale, specifically for enterprise risk and decision-making platforms. The successful candidate will be responsible for designing and deploying AI and machine learning systems, building LLM-powered applications, and developing scalable AI pipelines. Collaboration with engineering, quantitative, and business stakeholders is essential to ensure that the AI-driven systems meet the requirements for forecasting, analytics, monitoring, and operational decision-making. The role also involves driving architecture and engineering best practices, as well as mentoring engineers and contributing to technical design discussions. Applicants for the VP AI Engineer position at the company should have a minimum of 5 years of full-time software or AI engineering experience and a degree in a relevant field. Strong Python development experience is a must, along with a proven track record in building and deploying production AI/LLM applications. Experience with agentic AI frameworks, RAG architectures, or AI orchestration platforms, as well as AWS experience including modern GenAI tooling, is also required. The ideal candidate will have a background in building distributed systems and cloud-native applications, and possess strong systems design and software engineering fundamentals. The role is suited to engineers who are passionate about solving complex technical problems and are adept at building production AI systems with a significant business impact.