Director, Applied Artificial Intelligence Engineering

Overview Spearhead AI-driven transformation in investment banking. Lead end-to-end design, architecture, and implementation of advanced AI/ML solutions. Engage directly with clients to gather requirements and ensure successful adoption. Act as a primary subject matter expert and thought leader in advanced AI/ML engineering. Provide overarching technical leadership and mentorship to engineering teams. Ensure AI solutions are built for optimal performance, scalability, resilience, and security. Collaborate closely with business stakeholders and external clients to identify critical business needs. Drive strategies for utilizing both structured financial datasets and unstructured data sources effectively. Oversee the deployment, scaling, monitoring, and continuous maintenance of AI/ML solutions. Contribute to the strategic vision for AI in investment banking by researching and advocating for new AI technologies. Requirements 10+ years of experience in software engineering at least 5+ years in a senior or lead Applied AI/ML engineering role demonstrated success in building and deploying innovative AI applications within financial services proven experience leading technical implementations and mentoring other senior engineers deep expertise in ML, NLP, LLMs, Retrieval-Augmented Generation (RAG), embeddings, and modern MLOps practices strong experience working with structured financial datasets and unstructured data sources within a regulated environment exceptional communication and stakeholder management skills advanced degree (Master's or Ph.D. preferred) in Computer Science, AI, Applied Mathematics, Engineering, or a related quantitative field Certifications & Qualifications Master's degree Ph.D. #J-18808-Ljbffr Jobtailor