Generative AI Architect - Investment Data

We are seeking a highly skilled GenAI Lead Engineer to design and implement advanced frameworks for alternate data analysis in the investment management domain. The candidate will leverage LLM APIs (GPT, LLaMA, etc.) , build scalable orchestration pipelines, and architect cloud / private deployments to power next-generation AI-driven investment insights. This role will also involve leading a cross-functional team of Machine Learning Engineers and UI Developers to deliver robust, production-ready solutions.

Responsibilities

• GenAI Framework Development - Develop custom frameworks using GPT APIs or LLaMA for alternate data analysis and insights generation. Optimize LLM usage for investment-specific workflows, including data enrichment, summarization, and predictive analysis.
• Automation & Orchestration - Design and implement document ingestion workflows using tools such as n8n (or similar orchestration frameworks). Build modular pipelines for structured and unstructured data.
• Infrastructure & Deployment - Architect deployment strategies on cloud (AWS, GCP, Azure) or private compute environments (CoreWeave, on-premises GPU clusters) . Ensure high availability, scalability, and security in deployed AI systems.

Required Candidate Profile