Applied AI Engineer, Vice President, Institutional Securities Technology
Core
Design, build, and industrialize GenAI solutions (LLMs, agents) for institutional securities, moving use cases from PoC to production while ensuring scalability, reliability, and regulatory compliance.
Role type
Senior Applied AI Engineer (GenAI/LLMs)
Builds
Production-grade GenAI applications and reusable engineering patterns for internal platforms
Domain
Financial Services / Institutional Securities Technology
Deliverable
production ML models
Required skills
LLMs, agent frameworks, orchestration tools, Python, Java, distributed systems, production system delivery, API integration, guardrails implementation, KPI definition
Preferred skills
RAG, vector databases, prompt engineering, AI governance, developer productivity tools, data engineering pipelines
Responsibilities
Partner with business teams to identify and prioritize high-value GenAI use cases; Design and build solutions leveraging LLMs and agent frameworks; Ensure compliance with security, data privacy, and regulatory requirements; Define KPIs and track business impact; Enable teams through best practices and training
Seniority
Senior, hands-on IC
