AI Research Scientist

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

Who You’ll Work With:

The Data Science team partners closely with investment professionals, research analysts, and technology teams to develop and deploy advanced AI, machine learning, and quantitative solutions across the firm. The team combines expertise in data science, software engineering, financial modeling, and artificial intelligence to build innovative tools that enhance research productivity, investment decision‑making, and operational efficiency. The role offers the opportunity to work at the intersection of cutting‑edge AI technologies and real‑world financial applications.

What You’ll Do:

• Build Generative AI applications. Design and deploy LLM‑powered systems, including retrieval‑augmented generation (RAG), intelligent agents, and multi‑step agentic workflows that automate complex research and analytical tasks.
• Develop quantitative and predictive models. Create forecasting, ranking, and predictive models from structured and unstructured data to support investment research, portfolio management, and risk analysis.
• Take solutions to production. Build scalable software and data pipelines, and set up evaluation, monitoring, observability, and governance so models stay reliable and deliver measurable business value.
• Partner with the business. Work with investment, operation, and distribution teams to turn business problems into practical, well‑scoped AI solutions.
• Advance the firm’s AI capabilities. Evaluate emerging research and tools, prototype promising approaches, and lead their adoption across the organization.

What We’re Looking For:

Required Qualifications

• Bachelor’s degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, Engineering, or a related quantitative field.
• 2+ years of experience building and deploying machine learning or AI solutions in production.
• Strong Python skills and experience writing production‑grade, well‑tested code.
• Solid grounding in machine learning, statistical modeling, and predictive analytics.
• Hands‑on Generative AI experience, including LLMs, embeddings, retrieval systems, prompt engineering, and LLM evaluation.
• Experience designing agentic or multi‑agent systems using tool calling, API integrations, Model Context Protocol (MCP), and orchestration frameworks (e.g., LangGraph, LlamaIndex, or similar).
• Clear communication skills, including the ability to explain technical trade‑offs to non‑technical stakeholders.

Preferred Qualifications

• Master’s degree or PhD in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, Engineering, or a related quantitative field.
• Experience applying AI or quantitative methods in asset management, financial services, fintech, or capital markets.
• Working knowledge of investment research, portfolio management, financial modeling, or risk management.
• Experience with financial text data such as company filings, earnings call transcripts, news, and research reports.
• Familiarity with cloud platforms (AWS, Azure, or GCP), distributed computing, vector databases, and MLOps practices such as CI/CD, containerization, and experiment tracking.
• A track record of turning research‑stage AI ideas into scalable business applications.

About AB

We are a leading global investment management firm offering high‑quality research and diversified investment services to institutional clients, retail investors, and private‑wealth clients in major markets around the globe. With over 4,000 employees across 57 locations operating in 26 countries and jurisdictions, our ambition is simple: to be the most trusted investment firm in the world. We realize that it’s our people who give us a competitive advantage and drive success in the market, and our goal is to create an inclusive culture that rewards hard work. Our culture of intellectual curiosity and collaboration creates an environment where you can thrive and do your best work. Whether you’re producing thought‑provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to our clients, we are fully invested in you. If you’re ready to challenge your limits and empower your career, join us! All are encouraged to apply.

AB does not discriminate against any employee or applicant for employment on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability, marital status, citizenship status, sexual orientation, gender identity, military or veteran status or any other basis that is prohibited by applicable law. AB’s policies and practices seek to ensure that employment opportunities are available to all employees and applicants based solely on job-related criteria.

Nashville, Tennessee

We are a leading global investment management firm offering high‑quality research and diversified investment services to institutional clients, retail investors, and private‑wealth clients in major markets around the globe. With over 4,000 employees across 51 locations operating in 25 countries and jurisdictions, our ambition is simple: to be the most trusted investment firm in the world. We realize that it’s our people who give us a competitive advantage and drive success in the market, and our goal is to create an inclusive culture that rewards hard work. Our culture of intellectual curiosity and collaboration creates an environment where you can thrive and do your best work. Whether you’re producing thought‑provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to our clients, we are fully invested in you. If you’re ready to challenge your limits and empower your career, join us!

AB does not discriminate against any employee or applicant for employment on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability, marital status, citizenship status, sexual orientation, gender identity, military or veteran status or any other basis that is prohibited by applicable law. AB’s policies, as well as practices, seek to ensure that employment opportunities are available to all employees and applicants, based solely on job‑related criteria.

Please be advised that AB does not solicit confidential information from job applicants during the screening process, nor extend job offers without the candidate participating in a series of interviews to be properly considered for an open role. If you receive requests for confidential information, outside of the formal interviewing process even if the person asserts that they represent AB, we encourage you not to reply.