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 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 |
| 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 |
| 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 |