Data Engineer – Python/AI

Bank of America; Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive benefits

Flexible work arrangements

Job summary

Bank of America is seeking a data and AI engineer to design, build, and operate end-to-end ML/GenAI data solutions. You will work with product, operations, and engineering teams to deploy AI capabilities across large-scale lending platforms, focusing on data quality, governance, and security.

The role emphasizes MLOps, lifecycle management, and production readiness with a strong emphasis on collaboration and compliant practices.

Qualifications

• Bachelor’s degree or equivalent in Computer Science, Computer Information Systems, MIS, Engineering, or related field.
• 6+ years overall experience in software engineering with hands-on Python and AI/ML
• Experience productionizing ML models using MLflow and MLOps frameworks.

Responsibilities

• Refine and deliver data requirements across the delivery life cycle.
• Code solutions to ingest, transform, and control data in operational and analytical systems.
• Build data pipelines and data sets to enable data-informed decision making and governance.
• Develop and execute test plans across integration, regression and performance testing.
• Drive complex IT projects ensuring on-time delivery and adherence to release processes.
• Document data engineering requirements for deployment, maintenance, and business functionality.
• Collaborate with partners to ensure data standards adherence and communicate solutions.

Skills

Analytical Thinking

Application Development

Data Management

DevOps Practices

Solution Design

Agile Practices

Collaboration

Decision Making

Risk Management

Test Engineering

Education

Bachelor’s degree or equivalent in CS/CIS/MIS/Engineering

Tools

OpenShift

Docker

Git/Bitbucket

Jenkins

pytest

SonarQube

Artifactory

Job description

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role‑specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description: This job is responsible for developing and delivering data solutions to accomplish technology and business goals and initiatives. Key responsibilities include performing code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems. Job expectations include working with stakeholders and Product and Software Engineering teams to aid with implementing data requirements, analyzing performance, and researching and troubleshooting data problems within system engineering domains. Join a high‑impact technology team within Global Commercial Lending, focused on transforming core lending and payments BAU processes through AI, ML, and Generative AI solutions. This role offers a unique opportunity to design and productionize AI‑driven capabilities that deliver measurable efficiency gains, improved operational resilience, and smarter decisioning across large‑scale enterprise lending platforms. You will work closely with product, operations, and engineering teams to build, deploy, and scale ML and GenAI solutions embedded into mission‑critical platforms, while adhering to enterprise standards for security, compliance, and model governance. This position is responsible for designing, building, and operating AI/ML solutions end‑to‑end, with strong emphasis on MLOps, ML lifecycle management, and production readiness.

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

Required Qualifications

• Bachelor's degree or equivalent in Computer Science, Computer Information Systems, Management Information Systems, 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 machine learning models and Gen AI solutions using locally hosted LLMs in production environments
• 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

Desired Qualifications

• Experience applying GenAI / LLM‑based solutions (e.g., RAG, summarization, intelligent extraction) to operational and financial services use cases
• Exposure to model governance, risk management, and compliance controls in regulated environments
• Experience building reusable AI frameworks, utilities, or platforms that can be leveraged across multiple teams
• Familiarity with databases, caches, and messaging platforms (e.g., Oracle, MongoDB, Redis, event‑driven architectures)
• Experience with cloud or hybrid enterprise AI platforms and observability tools

Skills

• Analytical Thinking
• Application Development
• Data Management
• DevOps Practices
• Solution Design
• Agile Practices
• Collaboration
• Decision MakingRisk Management
• Test Engineering
• Architecture
• Business Acumen
• Data Quality Management
• Financial Management
• Solution Delivery Process

Minimum Education Requirement

Bachelor’s degree or equivalent work experience.

Shift

1st shift (United States of America)

Hours Per Week

40

Privacy Statement

https://careers.bankofamerica.com/en-us/privacy-notice

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well‑being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi‑faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Partnering Locally Learn about some of the ways Bank of America is making a difference in the communities we serve.

Global Impact Learn about the six areas that guide Bank of America’s efforts to help make financial lives better for customers, clients, communities and our teammates.

Opportunity and Inclusion Each employee brings unique skills, background and opinions. We see opportunity and inclusion as our platform for innovation and a key component in our success.

Our Values Learn about our four values that represent what we believe.

Pay Transparency: https://careers.bankofamerica.com/en-us/pay-transparency