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 |
|---|---|---|
| Data Scientist I Research Engineer role within Bank of America's Global Payment Solutions (GPS) Data and AI team, focusing on building end-to-end production-level AI solutions. The role involves framing business problems, developing advanced statistical and ML models, building scalable ML pipelines, and deploying algorithms into production systems. Projects include Generative AI search platforms, NLP for client insights, and optimizing pricing strategies. Requires strong quantitative background, Python/C++ coding, and ML expertise in NLP, time-series, and Generative AI. | AgentPost-train | 8 |
| VP - GenAI Quant Developer VP role focused on developing and deploying LLM-powered applications and agentic systems for the Rates business within Bank of America. This includes workflow automation, trade idea generation, and building multi-step reasoning systems with tool use. The role also involves researching and evaluating new AI/ML methods, partnering with tech and business stakeholders, and ensuring AI solutions are safe and compliant. Additionally, it includes core quantitative development for linear rates derivatives pricing and risk models. |
| Agent |
| 8 |
| Artificial Intelligence Senior Security Engineer Senior Engineer focused on integrating AI (agentic AI, ML models, LLMs) into cyber defense for a large financial institution. Responsibilities include driving technical implementation of AI-powered security tools, overseeing ML/LLM model development, guiding architectural transformations, prototyping emerging AI, and ensuring responsible AI use. Requires strong cybersecurity experience, hands-on AI building experience, and understanding of offensive/defensive security. | Agent | 8 |
| Senior Engineer-AI Inference Senior Engineer focused on designing, building, and serving Generative AI inferencing capabilities for a large enterprise platform. This role involves deploying and performance-tuning models (e.g., using vLLM/Triton), implementing RAG, and establishing monitoring and evaluation frameworks for AI/ML services. | ServeAgent | 8 |
| Vice President; Quantitative Finance Analyst Develops and maintains statistical and machine learning models for financial crime and money laundering detection, involving data mining, feature engineering, and ensuring regulatory compliance. Supports cross-functional teams in building analytical solutions and drives innovation by evaluating new AI/ML techniques. | Post-train | 7 |
| 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 |
| Senior Technology Architect Senior Technology Architect at Bank of America responsible for leading the design, delivery, and scaling of advanced AI-driven solutions within a complex banking environment. Requires 10+ years of financial services experience, deep expertise in AI/ML, data platforms, and enterprise solution architecture. Role involves translating business strategy into scalable, secure, and compliant technology implementations, overseeing multiple concurrent programs, and ensuring alignment with regulatory standards. | Ship | 7 |
| Senior Architect - Enterprise AI HLD Architect Senior Architect role focused on defining high-level design, reference architecture, and solution patterns for AI capabilities embedded across the Software Delivery Lifecycle (SDLC) at Bank of America. The role emphasizes architecting AI-enabled solutions aligned with enterprise standards for security, interoperability, operability, and sustainability, with a strong focus on platform architecture, enterprise systems thinking, developer workflow, AI systems architecture, security and governance by design, cloud and platform engineering, resilience, and operability. | Agent | 7 |
| Data Scientist II Data Scientist II at Bank of America focused on building AI-powered solutions for financial services. The role involves developing generative AI search platforms, applying NLP for real-time insights, and working on recommendation systems and stochastic optimization. It requires strong Python skills, understanding of ML algorithms, and collaboration with data engineers and other scientists. | Agent | 7 |
| Senior Engineer - Enterprise GenAI Platform Architect Senior Engineer responsible for defining and leading the engineering approach for complex features, focusing on enterprise GenAI platform architecture. This role involves defining reference architectures, standards, and scaling strategies for GenAI use cases, including model access, orchestration, retrieval, tool calling, and agent patterns, ensuring scalability, reusability, and alignment with enterprise standards in a regulated environment. | Agent | 7 |
| Senior Cloud Engineer - GenAI Platform Engineering This role is responsible for building and operating the cloud infrastructure layer for a Generative AI platform, enabling secure and scalable deployment of agent-based applications, APIs, and model-serving workloads. The role involves designing and managing containerized environments, developing deployment pipelines, and engineering scalable cloud architectures across AWS, Azure, and GCP. | ServeAgent | 7 |
| Senior Architect (Hands-On) – Client Servicing & Money Movement Senior Architect responsible for defining the architectural vision and solution for next-generation, AI-driven agentic solutions in client servicing and money movement. This role requires hands-on engineering expertise in building and scaling AI-powered platforms, focusing on intelligent automation and enhancing client experience within a financial services context. | Agent | 7 |
| Senior Technology Manager Global Data-Network Operations This role leads a global team responsible for the strategy, governance, and operational reliability of Bank of America's global data network. The primary focus is on transforming operations to an AI and automation-first model to predict, prevent, and remediate network issues at scale. Key responsibilities include managing teams, defining technology strategy, ensuring compliance, and advancing automation and AI-assisted operations for network services. | ServeData | 7 |
| Software Engineer III- Gen AI Inferencing Software Engineer III focused on building and operating reusable toolkits for Gen AI RAG capabilities within an enterprise AI platform. The role involves designing, developing, and deploying models using frameworks like vLLM/Triton, MLOps, and fine-tuning techniques, with a strong emphasis on CI/CD and performance tuning for production environments. Experience with RAG processes and application development in related technologies is required. | AgentServe | 7 |
| Software Engineer III-Gen AI Inferencing Software Engineer III focused on designing, building, and operating reusable toolkits for Gen AI RAG capabilities within a large enterprise. The role involves developing complex requirements, ensuring software meets functional, non-functional, and compliance needs, and maintaining architectural integrity. Experience with model serving platforms, MLOps, fine-tuning, inference frameworks, and the RAG process is required. | AgentServe | 7 |
| : Vice President; Sr Quantitative Fin Analyst This role involves conducting quantitative analytics and complex modeling projects, with a focus on validating financial crime detection models using machine learning and deep learning techniques. The position requires experience in independent model validation, regulatory compliance, and providing governance oversight for financial crime detection models. | Post-train | 7 |
| Consumer Behavior Modeler II This role focuses on leveraging GenAI tools and LLM-based solutions to enhance data analysis and insight generation within a financial context. The individual will develop tools for stakeholders to access insights quickly, incorporating analytical knowledge and working with internal data sources and GenAI models. Responsibilities include building statistical models, analyzing data, and developing/implementing LLM solutions, including research into prompting, fine-tuning, embeddings, evaluation harnesses, and guardrails, with a focus on agent frameworks and productionizing prototypes. | AgentPost-train | 7 |
| Consumer Behavior Modeler II This role involves developing and implementing LLM-based solutions to enhance data analysis and insight generation within a financial institution. The candidate will leverage GenAI tools for querying large datasets and research/evaluate new models and methods, including prompting, fine-tuning, embeddings, evaluation harnesses, and guardrails, with a focus on building production-ready prototypes. Experience with LLMs, agent frameworks, and related technologies is required. | AgentPost-train | 7 |
| Conversational AI & Language Engineering Lead This role is a Senior Technology Manager for Conversational AI & Language Engineering, responsible for setting the technical vision, managing teams, and ensuring the long-term health and performance of machine learning capabilities for an employee-facing Virtual Assistant. The role involves owning the end-to-end technical strategy for language engineering, NLU, and conversational AI, establishing standards for model quality and evaluation, and leading a team of ML practitioners. A key aspect is transitioning a mature deterministic solution to leverage Generative and Agentic AI. | AgentPost-train | 7 |
| Experience Design (XD) Principal, Content Design - Bank of America Experience Design This role is an AI-first content and experience orchestrator for Bank of America's digital platforms and Erica, their AI Virtual Assistant. The Principal Experience Designer will lead and raise craft delivery quality for an interdisciplinary product design team, focusing on AI-powered experience platforms and ecosystems. Responsibilities include designing semantic systems, specifying agentic behaviors, leading exploration of new AI interaction models, and serving as a craft expert and strategic thought partner to executives on AI investment and direction. The role emphasizes guiding enterprise-wide adoption of AI and agentic processes, ensuring AI experiences are safe, scalable, and high quality. | AgentData | 7 |
| VP, Quant Analyst - Central Modelling Solutions Team VP-level Quant Analyst role focused on developing and implementing quantitative models, including machine learning models, for XVA trading desks across various asset classes. Requires strong programming skills in Python and C++, and expertise in financial modeling, option pricing, stochastic calculus, and statistics. The role involves front-office pricing, automated hedging, and optimization, with implementation in Python and C++. | Post-trainServe | 7 |
| Principal Engineer - GenAI Team Principal Engineer for a Global Markets Generative AI platform team, focusing on scaling the platform, integrating applications, and designing solutions with Agents. The role involves hands-on development, architectural design, and collaboration with business and technology stakeholders to leverage LLMs and large datasets for insights. | Agent | 7 |
| Principal Engineer - GenAI Team Principal Engineer for a Generative AI platform in Global Markets, focusing on scaling the platform, integrating applications with agents, and leveraging LLMs with structured and unstructured data for insights. | Agent | 7 |
| Sr. Information Security Architect – AI & Cloud Security Senior Information Security Architect focused on AI & Cloud Security at Bank of America. The role involves defining secure architecture patterns, assessing AI/ML solutions, and ensuring compliance with security policies. Key responsibilities include evaluating system impacts, performing threat modeling, and translating requirements into controls for cloud, data, and application environments, with a specific emphasis on Generative AI, LLMs, RAG, and enterprise AI agents. The candidate will collaborate with various teams to embed security into the design of AI systems. | Agent | 7 |
| Technology Executive - Senior AI Platform Senior Technology Executive to lead the strategy, delivery, and governance of enterprise-wide AI and generative AI platforms and agents at Bank of America. This role focuses on building and operating enterprise-grade AI capabilities, establishing robust governance, and ensuring safe, compliant, and value-driven adoption of AI across all lines of business. Requires leadership in AI platforms, multi-model architectures, Copilot Studio governance, Power Platform scale, secure by design engineering, and executive stakeholder management, with proven success in platform adoption at global scale. | Agent | 7 |
| VP, AI Quant Strategist - Credit, Commodities and Capital Markets This role focuses on designing, prototyping, and deploying LLM-powered tools and agentic workflows for sales, trading, and banking within a financial institution. It involves integrating AI into existing analytics, developing reusable AI frameworks, and partnering with teams to bring AI ideas to production. The role requires experience with LLMs, agentic frameworks, modern AI tools, and building production-ready tools, with a strong understanding of financial products and markets. | AgentServe | 7 |
| Sr Data Architect Senior Data Architect role focused on designing and assessing AI control capabilities, guardrails, and governance frameworks for secure and compliant AI ecosystems within a regulated financial institution. The role involves architecting AI controls, evaluating AI platforms/tools, and ensuring adherence to enterprise risk and compliance requirements for AI adoption. | Eval GateAgent | 7 |
| Global Transactional FX Product Manager Product Manager for Global Transactional FX, leading product strategy, commercialization, and performance management for automated FX conversion suite (Auto-FX and AutoConvert). Owns end-to-end product lifecycle including client value proposition, financial performance, go-to-market, client servicing, and analytics/model capabilities. Partners with Sales, Trading, Technology, Operations, and Risk/Compliance. Responsibilities include defining product strategies, P&L management, driving commercialization, establishing support models, owning risk and controls, managing data science and model lifecycle, performing quantitative analysis, driving experimentation, and leading the platform roadmap with Technology and Operations. | ShipPost-train | 5 |
| Officer; Quantitative Finance Analyst This role involves auditing and assessing the effectiveness of AI governance frameworks, controls, and the entire AI model life cycle within a financial institution. It requires a strong understanding of quantitative finance, data science principles (including machine learning and deep learning), model development, validation, monitoring, and risk management regulations. | Eval GatePost-train | 5 |
| Senior Technology Support Consultant - Executive Support This role provides high-touch technology support for senior executives, including the CEO and C-suite. It requires strong working knowledge of Microsoft 365 Copilot, prompt engineering, and applying Copilot across M365 applications. The role also involves creating executive-ready documentation, troubleshooting Microsoft Office suite, scripting with PowerShell and Splunk, and managing endpoints with Intune. Strong networking fundamentals and communication skills are essential. | — | 5 |
| 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 |
| Corporate Security Professional - Corporate Security Technology Innovation Manager This role drives a proactive, enterprise-wide security technology program, focusing on strategic planning, innovation, and continuous improvement. It emphasizes balancing robust security measures with an enhanced end-user experience, optimizing resources, and fostering consistency across all security services. Key responsibilities include building a technology strategy, translating security outcomes into measurable objectives, prioritizing platforms, driving adoption of advanced technologies like AI/ML and automation, leading infrastructure modernization, and setting standards for evaluation, data use, and model risk. | Serve | 5 |
| Senior Product Owner - Tech Delivery - Agentic Experience Product Lead This role leads the product strategy, prioritization, design, and execution for the AI/Software Delivery Lifecycle (SDLC) program, focusing on enterprise software delivery platforms and capabilities. The goal is to improve how internal technical users build, test, and deliver software at scale, balancing customer needs with enterprise priorities, governance, and business value. The role requires expertise in platform strategy, user design, AI product judgment, and working within regulated environments. | — | 5 |
| Vice President; Feature Lead - Technology This role is for a Vice President, Feature Lead in Technology at Bank of America, focusing on designing and developing NLU chatbots and server-side applications. The role involves ensuring software meets requirements, coding solutions, unit testing, integrating components, and deploying applications. While the core function is engineering, the specific mention of designing NLU chatbots indicates an AI-related aspect, though it appears to be more about application than cutting-edge research. | Agent | 5 |
| Associate - Quant This role focuses on applying quantitative and statistical techniques to financial problems, developing analytical capabilities, and integrating Generative AI and modern technologies to enhance solutions for Global Markets. It involves process automation, model development, and staying updated on industry trends like Generative AI and Cloud Computing. | Agent | 5 |
| Senior Engineer - GenAI Security This Senior Engineer role focuses on defining and leading the engineering approach for complex features within the Global Markets GenAI Technology team at Bank of America. The role involves designing and building a global generative AI platform that leverages LLMs and data to drive insights, revenue growth, and improved business processes. Key responsibilities include defining the security architecture, implementing access controls, establishing secure API patterns, defining AI guardrails and safety controls, leading threat modeling, and designing RAG and data security controls. | Agent | 5 |
| Software Engineer III - Equities Technology Software Engineer III role at Bank of America focused on supporting Equities-wide AI initiatives and expanding the use of AI across the Equities Technology organization. The role involves identifying AI use cases, organizing and prioritizing efforts, collaborating with business and technology teams, and contributing to proof-of-concepts. The individual will help coordinate AI initiatives, understand stakeholder needs, and maintain a working understanding of the AI landscape, including Generative AI and traditional machine learning concepts. Responsibilities include coding solutions, designing architecture components, mentoring engineers, and automating processes, with a focus on partnership, execution, and follow-through. | — | 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 |
| Vice President; Software Engineer Software Engineer (VP) at Bank of America focused on building and deploying machine learning pipelines for model training and inference, integrating predictions into dashboards, and developing data processing and ETL pipelines. Requires experience with Spark, Hadoop, Trino, Airflow, Python, AWS, and CI/CD. | Serve | 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 |
| Fraud Analytics and Innovation Senior Analyst (Digital Fraud and Scams) This role focuses on developing and implementing strategies to minimize fraud loss exposure and negative customer impacts within a financial institution. It involves complex data analysis, modeling, and the application of machine learning technologies to assess fraud risk and create mitigation strategies. The role also supports biometrics capabilities and project scope leadership for fraud requirements and testing. | Agent | 5 |
| Senior Project Consultant - Finance Solutions (Innovation and Emerging Tech Lead) This role focuses on driving the adoption and optimization of emerging technologies, including AI solutions like Flare and Copilot, to enhance operational excellence and efficiency within Bank of America's finance solutions. It involves developing AI roadmaps, implementing AI capabilities, and acting as a technical expert and strategic partner to leverage advanced technologies for process improvement and decision-making. | — | 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 - Technology Lead position in Bank of America’s Erica, Chat, and Voice Technology organization, building next generation AI and Search platforms for virtual financial assistant capabilities. Responsibilities include technical leadership, oversight of design, implementation, and maintenance of complex computer programs, aligning technical solutions to business objectives, and ensuring coding practices comply with standards. The role involves guiding a team on work breakdown and execution, working with Product Owners, and mentoring team members. | Ship | 5 |
| Feature Lead - Technology Lead position in Bank of America’s Erica, Chat, and Voice Technology organization, building next generation AI and Search platforms for virtual financial assistant capabilities. Responsibilities include technical leadership, oversight of design, implementation, and maintenance of complex computer programs, aligning technical solutions to business objectives, and ensuring coding practices comply with standards. The role involves guiding a team on work breakdown and execution, working with Product Owners, and mentoring team members. | Ship | 5 |
| Feature Lead - Technology - GenAI Platform Feature Lead for a Generative AI (GenAI) platform at Bank of America. The role involves leading a team to design, implement, and maintain the platform, integrating business use cases, and ensuring solutions are reusable, scalable, and sustainable. Responsibilities include full software lifecycle activities, mentoring, and driving projects. The platform will leverage proprietary and open-source LLMs and large datasets for use cases in Sales & Trading, Quantitative Strategies, and Operations. Requires strong Python, API development, database, and CI/CD skills. Desired qualifications include experience with AI/ML solutions, LLM fine-tuning, RAG, and agentic tools. | Agent | 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 |
| Transformational Lead – Data Loss Prevention & Identity Defense This role focuses on driving innovation and modernization in Data Loss Prevention (DLP) and Identity Defense within a large enterprise cybersecurity operations team. It involves exploring and evaluating new technologies, enhancing existing platforms, and leveraging AI/ML for improved detection, prevention, and automation of security workflows. The candidate will lead cross-functional programs, assess vendors, and translate threat intelligence into actionable controls, with a strong emphasis on operational efficiency and risk mitigation. | Agent | 5 |
| Security Incident Response Orchestration Lead Lead for Security Incident Response Orchestration, focusing on enterprise-scale security automation using Splunk SOAR, Tines, and emerging AI-enabled capabilities. The role involves defining architectural standards, managing the backlog, and ensuring responsible adoption of agentic AI with strong governance and guardrails. | Agent | 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 |