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.

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.

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.

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.

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.

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.

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.

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++.

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.

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.

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.

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.

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.