AI Research Scientist
At a glance
Mid-level AI Research role at Abglobal. Nashville · full-time · no salary stated · we estimate $135,000–$232,000 across the United States.
Abglobal has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build LLM-based tools, including RAG and agent workflows, to automate research and analytical tasks
- Develop forecasting, ranking and prediction models using both structured and unstructured information
- Move models into live use with scalable pipelines, testing, monitoring and governance
- Shape business needs with investment, operations and distribution teams into scoped AI solutions
- Assess new AI research and tools, prototype useful methods, and drive their adoption
What you bring
- A bachelor’s degree in a quantitative discipline such as computer science, statistics or engineering
- At least two years delivering machine-learning or AI systems into production
- Strong Python skills, tested production code, and a solid foundation in statistical and predictive methods
- Hands-on work with LLMs, embeddings, retrieval, prompt engineering and evaluation, plus agent system design
- Clear communication skills, including explaining technical choices to nontechnical stakeholders
Who this fits
This mid-level position suits you if you can pair applied AI development with quantitative modeling and production software work. You’ll collaborate with investment, operations and distribution teams, and the role is based in Nashville, Tennessee.
From the employer
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