Head Of Applied Ai Engineering – Investment Banking - Director
Citi Handlowy
London, United Kingdom
Hybrid
Ai engineering expertise
Investment banking ecosystem understanding
Llms, nlp, knowledge graphs
Partner with senior bankers and business leads to identify high-impact AI opportunities across deal origination, client intelligence, market analysis, and pitch automation
Job Summary
Partner with senior bankers and business leads to identify high-impact AI opportunities across deal origination, client intelligence, market analysis, and pitch automation.
Lead the design and development of scalable AI systems using LLMs, NLP, knowledge graphs, and machine learning pipelines.
Build and lead a high-performing team of AI engineers, ML specialists, and applied data scientists.
Matching Summary
Partner with senior bankers and business leads to identify high-impact AI opportunities across deal origination, client intelligence, market analysis, and pitch automation.
Skills & Requirements
Must-have
AI engineering expertise
investment banking ecosystem understanding
LLMs, NLP, knowledge graphs
MLOps practices
structured and unstructured data
secure enterprise-scale deployment
senior stakeholder management
Nice-to-have
knowledge graphs and graph-based search
Bloomberg, Refinitiv, Capital IQ
AI co-pilots, document summarization
enterprise CRM systems
hybrid work opportunities
Key Requirements
Significant proven data science / AI engineering experience
Multiple years leading teams in financial services
Experience building AI applications in investment banking
Experience deploying AI solutions in secure, high-compliance environments
Advanced degree in Computer Science, AI, or related field