Generative AI Research Scientist for Finance

AllianceBernstein L.P.; Nashville (TN); On-site; USD 120,000 - 180,000; Full time

Job summary

AllianceBernstein L.P. in Nashville seeks a data scientist to build Generative AI applications and deploy LLM-powered systems that automate research tasks and enhance investment workflows.

You will develop predictive models from structured and unstructured data, scale data pipelines, and partner with investment teams to turn business problems into AI solutions. Strong Python and production-grade coding, plus multi-agent orchestration experience, are valued.

Qualifications

• Bachelor's degree in a quantitative field.
• 2+ years of production ML/AI experience.
• Strong Python and production-grade code.
• Solid ML/statistical modeling background.
• Hands-on Generative AI with LLMs, embeddings, prompting.
• Experience designing agentic/multi-agent systems with tool calls and APIs.

Responsibilities

• Build Generative AI applications with LLM-powered systems (RAG, intelligent agents, multi-step workflows).
• Develop forecasting, ranking, and predictive models from diverse data.
• Take models to production with scalable pipelines and governance.
• Collaborate with business units to translate problems into AI solutions.
• Evaluate new AI methods and drive adoption across the firm.

Skills

Python

Generative AI

LLMs

Multi-agent systems

Prompt engineering

Data modeling

Communication

Education

Bachelor's degree in Computer Science or related quantitative field

Master's degree or PhD in related field

Tools

LangGraph

LlamaIndex

APIs

Vector databases

Job description

AllianceBernstein L.P. in Nashville seeks a data scientist to build Generative AI applications and deploy LLM-powered systems that automate research tasks and enhance investment workflows.

You will develop predictive models from structured and unstructured data, scale data pipelines, and partner with investment teams to turn business problems into AI solutions. Strong Python and production-grade coding, plus multi-agent orchestration experience, are valued.