Currently tracking 13 active AI roles, with 962 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $105k–$225k (avg $192k).
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.
Bank of America currently has 18 active AI-related roles in our index. The most common open titles are: Artificial Intelligence Senior Security Engineer, Assistant Vice President; Quantitative Finance Analyst, Consumer Behavior Modeler II, Conversational AI & Language Engineering Lead, Data Scientist I. Most positions are in Engineering and Research.
Bank of America's active AI hiring is concentrated in: agents (67%), data (17%), serving infrastructure (11%). 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 (17 roles).
Job postings at Bank of America most frequently reference: agent orchestration, model serving, rag, fine tuning, llm observability.
In the past 30 days, Bank of America has posted 7 new AI-related roles. That is a -42% change versus the prior 30 days (12 → 7).
| Title | Stage | AI score |
|---|---|---|
| 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 |
| 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 |
| 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 |