Head of Applied AI Engineering
Core
Lead the design, development, and deployment of cutting-edge, AI-first solutions for the Banking division, bridging front office workflows with advanced technology to drive intelligent automation and data-driven decision-making.
Role type
Head of Applied AI Engineering (Strategic IC with leadership)
Builds
Scalable, robust AI systems including LLMs, NLP, knowledge graphs, and Agentic AI solutions integrated into market data, CRM, and document repositories.
Domain
Investment Banking / Financial Services / Enterprise AI
Deliverable
production ML models | product features
Required skills
Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), MLOps, Agentic AI frameworks, Data Engineering, Financial data analysis, Front-office workflow knowledge, Enterprise security/compliance deployment
Preferred skills
Knowledge graphs, Graph-based search, Financial data tools (Bloomberg, Refinitiv, Capital IQ, FactSet, PitchBook), AI agent development, Enterprise Relationship/Deal management systems
Technologies
Google ADK, Langraph, LLMs, NLP, Knowledge Graphs, MLOps tools
Responsibilities
Partner with senior bankers to identify high-impact AI opportunities and execute an AI engineering roadmap; Architect and implement secure, compliant Agentic AI solutions; Drive strategic integration of structured and unstructured data for model training; Convert proofs-of-concept into scalable enterprise-grade tools; Establish AI governance standards for explainability and compliance; Recruit, mentor, and lead a high-performing team of AI engineers and data scientists.
Seniority
Senior, hands-on IC with leadership
