Head of Applied AI Engineering

Strategic AI Leadership
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.
AI Engineering & 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.
Data Strategy
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.
Productization & Delivery
Convert proofs-of-concept into scalable, enterprise-grade tools.
Embed AI solutions into banker workflows via co-pilots, dashboards, and smart document assistants.
Governance & Compliance
Ensure all AI systems meet internal standards for explainability, fairness, and compliance with regulatory obligations.
Collaborate with risk, legal, and compliance teams on AI model governance.
Team Building & Leadership
Build and lead a high-performing team of AI engineers, ML specialists, and applied data scientists.
Foster a culture of innovation, delivery excellence, and business alignment.