Currently tracking 14 active AI roles, up 75% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $105k–$225k (avg $192k).
| 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 |
| 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 |
| 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 |