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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - Data Scientist I - **Company:** Bank of America - **Location:** New York, NY, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Software Applications, C++ (Programming Language), Data Visualization, DevOps, Global Positioning Systems (GPS), GPS EXchange Format, Information Retrieval, Python (Programming Language), Machine Learning, Natural Language Processing, Recommender Systems, Software Engineering, Reinforcement Learning, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Agentic-AI, Information Technology, Production Code, Machine Learning Operations, Software Version Control - **Published:** October 17, 2026 - **Apply:** https://dejobs.org/x/x/8F699CDEE279430EABF8E5F3B3B7BF81/job/ ## About the Role * Minimum Bachelor's degree in a quantitative or technical field such as computer science, math, statistics, physics, or a related discipline * Minimum 2 years of experience developing production-quality software, machine learning systems, or AI-powered applications using Python and/or C++ Strong foundation in probability, statistics, and applied machine learning (NLP, time-series analysis, GenAI) * Strong understanding of software engineering fundamental, including modular system design, APIs, testing, version control, and maintainable production code * Ability to communicate complex technical concepts clearly and concisely to both technical and non-technical stakeholders Nice to have: * Graduate degree in computer science, engineering, mathematics, statistics, physics, or another quantitative field. * Hands-on experience building RAG systems, AI agents, LLM applications, or multimodal AI systems. * Exposure to reinforcement learning, recommendation systems, optimization, or time-series modeling. * Energized by the pace and ambiguity of a dynamic environment and comfortable rapidly learning unfamiliar technical areas., * Adaptability * Attention to Detail * Business Analytics * Technical Documentation * Written Communications * Agile Practices * Application Development * Collaboration * Data Visualization * DevOps Practices * Artificial Intelligence/Machine Learning * Networking * Policies, Procedures, and Guidelines Management * Presentation Skills * Risk Management ## Description The Data and AI team within Global Payment Solutions (GPS) at Bank of America is looking for an AI Engineer who is a self-starter, thrives on solving ambiguous problems, and can translate advances in artificial intelligence into scalable, production-ready products., * Develop advanced statistical methods to determine the optimal interest-rate or product pricing strategies for clients * Build a Generative AI-powered search platform that enables sales and product teams to access high quality answers to product, servicing, and client related questions * Develop AI models that shift foreign currency conversion "up the payment stream," reducing reliability on beneficiary banks * Apply advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, helping servicing teams anticipate client needs and improve service quality, As an AI Engineer on the GPS Data and AI team, you will help design and build the next generation of AI-powered products used across the business. This role sits at the intersection of AI research, software engineering, and product development. You will take emerging techniques in Generative AI and machine learning and translate them into robust systems capable of operating in a complex enterprise environment. You will work across the AI application stack, from experimentation and prototyping through evaluation, optimization, deployment, and production monitoring. You will design intelligent applications using LLMs, RAG, information retrieval, and machine learning, while developing the infrastructure and software needed to make those systems reliable and scalable., * Frame abstract business problems using advanced data science and machine learning algorithms * Own AI systems end-to-end, from initial research and prototyping through architecture, implementation, evaluation, deployment, and ongoing improvement. * Experiment with new models, retrieval strategies, prompting techniques, agent architectures, and emerging AI technologies to determine their applicability to real-world business problems. * Develop rigorous evaluation frameworks to measure AI system quality and identify opportunities for improvement. * Partner with product, engineering, and business stakeholders to translate ambiguous business challenges into well-defined AI solutions. * Shape cross-team collaboration to advance the firm's data science and AI capabilities, Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates. View your "Know your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf) " poster. View the LA County Fair Chance Ordinance (https://dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf) .