Head of Applied AI Engineering

About the job

The Applications Development Senior Group Manager is a senior management level position responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology Team. The overall objective of this role is to drive applications systems analysis and programming activities. Role Summary We are seeking a visionary and hands-on Head of Applied AI Engineering to lead the design, development, and deployment of AI-driven solutions for our Banking division, covering Investment (ECM, DCM, M&A), Corporate and Commercial Banking. This role will bridge the front office and advanced technology, bringing intelligent automation and data-driven decision-making into the heart of dealmaking. Key Responsibilities - Partner with senior bankers and business leads to identify high-impact AI opportunities across deal origination, client intelligence, market analysis, and pitch automation. - Develop and execute the AI engineering roadmap aligned to Banking tech strategy and enterprise architecture. - Lead the design and development of scalable AI systems using LLMs, NLP, knowledge graphs, and machine learning pipelines. - Architect secure, compliant AI solutions that integrate with market data, CRM, internal knowledge bases, and document repositories. - Drive integration of structured (e.g., financial data, CRM) and unstructured (e.g., filings, call transcripts, news) data to enable advanced insights. - Oversee data engineering and ML feature pipelines in collaboration with data teams. - Convert proofs-of-concept into scalable, enterprise-grade tools. - Ensure all AI systems meet internal standards for explainability, fairness, and compliance with regulatory obligations. - Build and lead a high-performing team of AI engineers, ML specialists, and applied data scientists.

Requirements

• AI Engineering
• Machine Learning
• Natural Language Processing
• Data Strategy
• Team Leadership

Qualifications

• Bachelor’s degree/University degree
• Master’s degree preferred

Preferred Technologies

• AI Engineering
• Machine Learning
• Natural Language Processing
• Data Strategy
• Team Leadership