Senior AI/ML Data Engineer - GenAI & MLOps

Bank of America; Addison (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Bank of America in Addison, TX seeks a data engineer to design and productionize AI/ML solutions within Global Commercial Lending. You will build data pipelines, ML models, and MLOps processes, collaborating with product, operations, and engineering teams while ensuring security and governance standards.

The role emphasizes end-to-end ML lifecycle management, API/microservices exposure, and strong collaboration across multi-team environments, with a focus on enterprise-scale data platforms.

Qualifications

• Bachelor's degree or equivalent in Computer Science, Computer Information Systems, MIS, Engineering (any), or related: and
• 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 ML 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 prep, feature engineering, training, validation, deployment, monitoring, 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 applications
• Experience with containerization and deployment technologies (Openshift, Docker)
• Proficiency with version control and enterprise SDLC tools (Git/Bitbucket, Jenkins, pytest, SonarQube, Artifactory)
• Experience in large, multi-team enterprise environments with governance standards
• Strong analytical, problem-solving, and communication skills with ability to engage stakeholders

Responsibilities

• Works across development teams to contribute to story refinement and delivery of data requirements
• Leverages architecture components to integrate, clean, transform, and control data in data systems
• Builds data pipelines and datasets to enable data-informed decision making and identify risks
• Develops and executes test plans and contributes to test suites; analyzes results
• Drives complex IT projects to ensure on-time delivery and adheres to processes
• Documents data engineering requirements for deployment and maintenance
• Collaborates with partners to close gaps in data management and communicate solutions

Skills

Analytical Thinking

Application Development

Data Management

DevOps Practices

Solution Design

Agile Practices

Collaboration

Decision Making

Risk Management

Test Engineering

Architecture

Business Acumen

Data Quality Management

Financial Management

Solution Delivery Process

Education

Bachelor's degree or equivalent in CS/IS/Engineering

Tools

OpenShift

Docker

Git

Jenkins

pytest

SonarQube

Artifactory

Bitbucket

Job description

Bank of America in Addison, TX seeks a data engineer to design and productionize AI/ML solutions within Global Commercial Lending. You will build data pipelines, ML models, and MLOps processes, collaborating with product, operations, and engineering teams while ensuring security and governance standards.

The role emphasizes end-to-end ML lifecycle management, API/microservices exposure, and strong collaboration across multi-team environments, with a focus on enterprise-scale data platforms.