Bank of America currently has 20 active AI-related job listings. The majority of these roles, 70%, are focused on agents, with post-training and data roles each comprising 10%. Engineering is the dominant function, with 18 listings. Recent hiring trends show a significant increase, with 14 new AI roles posted in the last 30 days, representing a 180% increase from the prior 30-day period.
Currently tracking 15 active AI roles, down 26% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $105k–$246k (avg $192k).
Bank of America currently has 23 active AI-related roles in our index. The most common open titles are: Artificial Intelligence Senior Security Engineer, Corporate Security Professional - Corporate Security Technology Innovation Manager, Data Scientist I, Data Scientist II, Director; Senior Architect. Most positions are in Engineering and Research.
Bank of America's active AI hiring is concentrated in: agents (57%), data (17%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Bank of America is hiring AI talent in: United States (22 roles).
Job postings at Bank of America most frequently mention: System Design, AI Safety, Statistics, Large Language Models (LLMs), Generative AI.
In the past 30 days, Bank of America has posted 17 new AI-related roles. That is a +89% change versus the prior 30 days (9 → 17).
| Title | Stage | AI score |
|---|---|---|
| Director; Senior Architect This role involves building, testing, and documenting quantitative models using machine learning and NLP techniques within a financial context. The individual will apply statistical skills and data analytics tools to analyze large financial datasets, facilitate automation, and contribute to the architecture and technology roadmap. | Data | 7 |
| Vice President; Structurer The Vice President, Structurer role at Bank of America focuses on developing and designing systematic commodity investment strategies and derivative products for institutional clients. This involves utilizing programming skills (Python, SQL) and applying data science principles, including machine learning and deep learning, to analyze trends, uncover risks, and generate new ideas. The role also requires creating frameworks to test these ideas and supporting model validation in a regulated environment. | Data |
| 5 |
| Assistant Vice President; Quantitative Finance Analyst This role involves applying quantitative models and techniques to financial problems, focusing on risk management, credit analytics, and derivative valuation. It requires experience with statistical analysis, predictive modeling, machine learning, and using tools like Python, SQL, R, Matlab, Tableau, and Alteryx for data analysis, model development, and visualization within a fintech domain. | Data | 5 |
| Feature Lead - GenAI Team Feature Lead Data Engineer to build out data pipelines to source large volumes of structured (ex: KDB) & unstructured data (ex: Research documents, Term Sheets), classify, and store data to meet GenAI requirements. The role will design, develop, and engineer platform for high performance and scalability. Experience with RAG, Agentic RAG, and Agent frameworks is desired. | DataAgent | 5 |
| Quantitative Finance Analyst This role focuses on quantitative finance analysis within Bank of America's Global Risk Management division. It involves developing and implementing quantitative models, conducting market risk stress testing, and performing statistical analysis on large datasets. A significant part of the role includes designing features for data-centric AI solutions, contributing to the architecture and prototyping of data and AI-powered solutions, and evaluating data & AI tools through proof of concepts. The analyst will also be involved in data management, data architecture, and data platforms, ensuring high-quality data for quantitative modeling and evangelizing new data & AI solutions. | Data | 5 |
| Feature Lead - GenAI Team Feature Lead Data Engineer to build out data pipelines to source large volumes of structured (ex: KDB) & unstructured data (ex: Research documents, Term Sheets), classify, and store data to meet GenAI requirements. The role will design, develop, and engineer platform for high performance and scalability. | DataAgent | 5 |
| Ops Professional MKTS - Global Markets Shared Operations & Corporate Treasury Operations| Data, Business Intelligence and AI Lead This role focuses on developing and maintaining automated ETL pipelines, analyzing complex data sources using GenAI tools, designing data models for AI use cases, and driving continuous improvement through AI and automation within Global Markets Operations at Bank of America. The candidate will partner with business stakeholders to translate needs into technical solutions and create documentation, leveraging AI tools throughout the process. | Data | 5 |
| Software Engineer III-Python Software Engineer III-Python at Bank of America, focusing on developing and delivering complex software requirements, including AI/ML/GenAI lifecycle management, frameworks using MLFlow/KubeFlow, fine-tuning, inference, and API-based applications. Requires strong Python skills, DevOps experience, and experience with CI/CD practices. | Data | 5 |