AI Engineer, Data Scientist I

Bank of America

. Frame abstract business problems using advanced data science and machine learning algorithms .

Posted 10/17/2026full-timeUnited StatesJuniorMid-Level💰 $107,300 - $193,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying AI systems, with a strong foundation in machine learning, software engineering, and data science. Capable of collaborating with cross-functional teams to translate complex business challenges into effective AI solutions.

Highest-signal resume keywords

Machine Learning Systems DevelopmentPython ProgrammingAI-Powered ApplicationsStatistical AnalysisSoftware Engineering Fundamentals

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningNatural Language ProcessingTime-Series AnalysisReinforcement LearningModular System DesignAPIsVersion ControlProduction Code MaintenanceEvaluation FrameworksAI System Optimization

Soft Skills

Clear CommunicationCross-Team CollaborationProblem-Solving

Tools & Technologies

C++AI AgentsRAG SystemsLLM ApplicationsMultimodal AI Systems

Industry Keywords

Data ScienceAI TechnologiesEnterprise Business SolutionsScalable AI SystemsPrototyping

Tech Stack

Tools & technologies

PythonC++

About the role

Key responsibilities & impact

Frame abstract business problems using advanced data science and machine learning algorithms
Own AI systems end-to-end from research and prototyping through architecture, implementation, evaluation, deployment, and ongoing improvement
Experiment with models, retrieval strategies, prompting techniques, agent architectures, and emerging AI technologies
Develop evaluation frameworks to measure AI system quality and identify improvement opportunities
Partner with product, engineering, and business stakeholders to translate ambiguous challenges into AI solutions
Shape cross-team collaboration to advance data science and AI capabilities
Design and build AI-powered products for enterprise business use
Develop infrastructure and software for reliable, scalable AI systems
Work across experimentation, prototyping, optimization, deployment, and production monitoring

Requirements

What you’ll need

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 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
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
Comfortable rapidly learning unfamiliar technical areas

Benefits

Comp & perks

Affordable, competitive and flexible benefits
Support for physical, emotional, and financial wellness
Opportunities to learn, grow, and build a career
Annual discretionary incentive plan eligibility
Paid time off
Resources and support for employees