Data Engineer - Python, AI & GenAI in Production

Bank of America; Charlotte (NC); On-site; USD 140,000 - 180,000; Full time

Job summary

Bank of America is seeking an experienced data engineer/AI/ML specialist in the Charlotte area to design and productionize AI-driven capabilities. You will build data pipelines, deploy ML models, and collaborate with product, operations, and software engineering to scale ML solutions across lending platforms.

Strong emphasis on MLOps, governance, and security. The role requires 6+ years in software engineering with Python, 3+ years in AI/ML, and hands-on experience with OpenShift, Docker,

Qualifications

• Bachelor's degree or equivalent in Computer Science, Computer Information Systems, Management Information Systems, Engineering (any), or related.
• 6+ years overall experience in software engineering with strong hands-on development in Python.
• 3+ years of hands-on AI/ML experience, building and deploying machine learning models and Gen AI solutions.
• Proven experience productionizing ML models using MLflow and enterprise-grade MLOps frameworks.
• Strong understanding of the end-to-end ML lifecycle: data preparation, feature engineering, training, validation, deployment, monitoring, and retraining.
• Experience building RESTful APIs and microservices to expose ML capabilities.
• Hands-on experience with CI/CD pipelines, automation, and DevOps practices for ML and application workloads.
• Experience with containerization and deployment technologies (e.g., OpenShift, Docker or equivalent enterprise platforms).
• Proficiency with version control and enterprise SDLC tools (Git/Bitbucket, Jenkins, pytest, SonarQube, Artifactory, etc.)
• Experience working in large, multi-team enterprise environments with shared codebases and governance standards
• Strong analytical, problem-solving, and communication skills with ability to engage business and technical stakeholders.

Responsibilities

• Works across development teams to contribute to the story refinement and delivery of data requirements through the delivery life cycle.
• Leverages architecture components in solution development, codes solutions to integrate, clean, transform, and control data in operational and analytical data systems per acceptance criteria.
• Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management and defines and builds data pipelines and complex data sets to enable data-informed decision making, identifying and raising risks at all stages of the data engineering process.
• Develops and executes test plans to produce quantitative results, contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies test issues and errors, and triages underlying causes.
• Drives complex information technology projects to ensure on-time delivery and adheres to team delivery and release processes.
• Identifies, defines, and documents data engineering requirements, communicating required information for deployment, maintenance, support, and business functionality.
• Works with technology partners and a diverse set of stakeholders to identify and close gaps in data management standards adherence, negotiates paths forward, and helps identify and communicate solutions to complex data problems leveraging knowledge of information systems, techniques, and processes.

Skills

Python

AI/ML

REST APIs

CI/CD

DevOps

Docker

Data pipelines

Git/Jenkins

Analytical thinking

Education

Bachelor's degree in CS/IS/Engineering

Tools

OpenShift

Docker

MLflow

Jenkins

pytest

SonarQube

Artifactory

Git

Job description

Bank of America is seeking an experienced data engineer/AI/ML specialist in the Charlotte area to design and productionize AI-driven capabilities. You will build data pipelines, deploy ML models, and collaborate with product, operations, and software engineering to scale ML solutions across lending platforms.

Strong emphasis on MLOps, governance, and security. The role requires 6+ years in software engineering with Python, 3+ years in AI/ML, and hands-on experience with OpenShift, Docker,