> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# AI Research Scientist

Canonical URL: https://nextmove.md/fde/jobs/de0f6fab92de97ef

AllianceBernstein posts a FDE role to build for teams inside the company in Nashville, TN with no pay posted. Build and deploy LLM applications using RAG, intelligent agents, and multi-step workflows Read from the employer’s posting on November 8, 2026.

- [AllianceBernstein](https://nextmove.md/fde/companies/alliancebernstein)

First seen Oct 6, 2026 · open on Workday as of Nov 8, 2026

Pay not posted Nashville, TN

Build and deploy LLM applications using RAG, intelligent agents, and multi-step workflows

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fde0f6fab92de97ef&placement=top)
- [View posting at AllianceBernstein](https://abglobal.wd1.myworkdayjobs.com/alliancebernsteincareers/job/Nashville-Tennessee/AI-Research-Scientist_R0020038)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

Not posted

Staff+ FDE postings, 388 postings: the middle 50% of posted pay is $197K to $262K, median $225K.

### The work

Builds for teams inside the company

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept
3. Implementation
4. Operations

- **Coding**: Writes production code

- **Builds for**: Internal teams

- **Level**: Staff+

- **Role**: Technical lead

### What they ask for

Experience

- **2+ years** building and deploying machine learning or AI solutions in production

Background

- **Software engineering**

### Do you meet what the posting states?

The posting asks for 2+ years. How many do you have?

The posting reads as a staff-level role. What level are you at now?

The job is in Nashville, TN. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: Nashville, TN

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## The job description from AllianceBernstein

### 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

[View posting at AllianceBernstein](https://abglobal.wd1.myworkdayjobs.com/alliancebernsteincareers/job/Nashville-Tennessee/AI-Research-Scientist_R0020038)

## About AllianceBernstein

Global investment manager serving institutions, intermediaries, and high-net-worth clients across public markets, private alternatives, and private wealth with a research-heavy active-management model.

Public · 2000–5000 people

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