Lead Data Scientist - AI Engineer
Core
Design and build the integration layer between Enterprise Claude, Salesforce CRM, and proprietary ML models for AI-powered banking workflows, developing AI agents for document generation, buyer analysis, and deal-status automation.
Role type
Lead Data Scientist - AI Engineer (Senior IC)
Builds
AI agents, multi-step LLM applications, and production multi-agent ecosystems for financial professionals.
Domain
Financial services / Artificial Intelligence / Large Language Models
Deliverable
production ML models | product features
Required skills
Full-stack software engineering, LLM application development, prompt engineering, retrieval-augmented generation, multi-step orchestration, tool use, evaluation frameworks, production reliability engineering, monitoring, failure recovery, scaling, machine learning fundamentals, model training, feature-pipeline development, cloud infrastructure, data orchestration.
Preferred skills
Capital markets knowledge, investment banking experience, Salesforce APIs integration, embedded technical roles, mentoring.
Technologies
Azure, Databricks, Spark, Dagster, Airflow, Salesforce, Enterprise Claude, Rogo.ai, Blueflame AI, Fellow.ai
Responsibilities
Design integration layers between CRM and ML models; develop AI agents for document generation and deal automation; set engineering standards for architecture and CI/CD; work with deal teams to identify automation opportunities; build and maintain data pipelines for feature engineering and model training; prototype solutions for banker pain points; implement security and data-governance protocols; operate production multi-agent ecosystems with scaling and reliability practices.
Seniority
Senior, hands-on IC with leadership responsibilities