AI Engineer - Data Scientist I

Bank of America • New York, NY

7d • $107,300 - $193,200 • Onsite

About The Position

The Data and AI team within Global Payment Solutions (GPS) at Bank of America is seeking an AI Engineer to help design and build AI-powered products used across the business. The role combines AI research, software engineering, and product development, translating emerging Generative AI and machine learning techniques into robust systems for a complex enterprise environment. The engineer will work across the AI application stack, from experimentation and prototyping through evaluation, optimization, deployment, and production monitoring, and will develop intelligent applications using LLMs, RAG, information retrieval, and machine learning along with the infrastructure and software needed to make those systems reliable and scalable.

The GPS Data and AI team builds end-to-end data and AI solutions for a large payments business. Its work spans Generative AI, information retrieval, intelligent agents, machine learning, natural language processing, optimization, and predictive modeling, with a focus on measurable business value. Example work includes pricing strategy methods, a Generative AI-powered search platform, foreign currency conversion models, and NLP-based insights into client servicing needs.

The position is based at Bank of America Tower in New York, New York. It is a first-shift role with a stated schedule of 40 hours per week. Bank of America describes its in-office culture as supporting collaboration, engagement, and career development, with role-specific flexibility based on responsibilities and business needs. The annualized salary range is $107,300 to $193,200, with offers based on experience, education, and skill set. The role is eligible for a discretionary annual incentive and benefits, including paid time off.

Requirements

• Bachelor’s degree or higher in a quantitative or technical field such as computer science, mathematics, statistics, physics, or a related discipline.
• At least 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, including NLP, time-series analysis, and Generative AI.
• Strong understanding of software engineering fundamentals, including modular system design, APIs, testing, version control, and maintainable production code.
• Ability to communicate complex technical concepts clearly and concisely to technical and non-technical stakeholders.

Nice To Haves

• 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.
• Comfort rapidly learning unfamiliar technical areas and working in a dynamic, ambiguous environment.

Responsibilities

• 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 assess 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.

Benefits

• Industry-leading benefits.
• Paid time off.
• Resources and support for employees.
• Eligibility for an annual discretionary award based on individual performance and behaviors, line-of-business or group performance and contributions, and overall company success.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level