Director Applied Artificial Intelligence Engineering

Spearhead AI-driven Transformation in Investment Banking

We are seeking an exceptionally experienced and highly proficient Director of Applied AI Engineering to join our Investment Banking technology leadership team. This is a critical, C15-level role demanding deep technical expertise, a strategic mindset, and a strong client-facing orientation. The successful candidate will be a pioneer in integrating cutting‑edge AI/ML solutions directly into client workflows across Equity Capital Markets (ECM), Debt Capital Markets (DCM), and Mergers & Acquisitions (M&A).

Operating with a high degree of autonomy, you will solve complex, high‑impact problems, set technical direction, and champion an AI‑first approach within a dynamic, client‑centric environment. You will be instrumental in translating intricate business challenges in the financial domain into robust, scalable, and high-performance AI systems that deliver tangible value and competitive advantage to our clients and internal stakeholders. This role requires a techno‑functional leader who can bridge the gap between advanced AI capabilities and critical business outcomes, fostering direct engagement with clients and business leads.

• Strategic AI/ML Solution Design & Implementation (Client-Focused): Lead the end-to-end design, architecture, and hands‑on implementation of advanced AI/ML solutions and platforms directly supporting and enhancing Investment Banking client workflows in ECM, DCM, and M&A. This includes leveraging and adapting existing models, and pioneering new AI‑driven approaches to meet specific client needs and strategic business objectives. Engage directly with clients to gather requirements, present solutions, and ensure successful adoption.
• Principal AI/ML Engineering & Technical Leadership: Act as a primary subject matter expert and thought leader in advanced AI/ML engineering, especially within the context of Investment Banking products. Provide overarching technical leadership, guidance, and mentorship to engineering teams and business stakeholders, fostering best practices in AI‑augmented development, scalable system design, code reviews, and collaborative problem‑solving. Champion a culture of quality through disciplined application of Spec‑Driven Development (SDD), Test‑Driven Development (TDD) / Behavior‑Driven Development (BDD), and promote AI‑driven test case generation and quality automation.
• Architect for Scalability, Resilience & Security: Provide deep expertise in modern application architecture, designing for cloud readiness by applying 12‑Factor App principles and microservice patterns. Ensure AI solutions are built for optimal performance, scalability, resilience, and security within high‑compliance environments (on‑premise, hybrid cloud, or private cloud).
• Techno‑Functional Partnership & Domain Expertise: Develop a deep understanding of Investment Banking products (ECM, DCM, M&A), collaborating closely with business stakeholders and external clients to identify critical business needs and high‑impact AI opportunities. Act as a strategic partner, translating complex financial requirements into technical specifications and delivering AI solutions that directly address client pain points.
• Data Strategy & Engineering Leadership: Work closely with data engineers and data scientists to define advanced data requirements, ensure exceptional data quality, and optimize complex data pipelines for robust AI solution integration and deployment. Drive strategies for utilizing both structured financial datasets and unstructured data sources (filings, call transcripts, research) effectively.
• Model Deployment, Monitoring & Optimization: Oversee the deployment, scaling, monitoring, and continuous maintenance of AI/ML solutions in production environments. Implement advanced performance optimizations for AI solutions and underlying infrastructure to ensure efficient resource utilization, rapid inference, and proactive issue resolution.
• Strategic Vision, Innovation & Advocacy: Contribute significantly to the strategic vision for AI in Investment Banking by researching, evaluating, and advocating for new AI…