Data Engineer – Python/AI

Charlotte, North Carolina;Addison, Texas

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**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 Making

+ Risk 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:**

Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.

View your "Know your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12.pdf) " poster.

View the LA County Fair Chance Ordinance (https://dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notic...) .

Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy (“Policy”) establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. Should you be offered a role with Bank of America, your hiring manager will provide you with information on the in-office expectations associated with your role. These expectations are subject to change at any time and at the sole discretion of the Company. To the extent you have a disability or sincerely held religious belief for which you believe you need a reasonable accommodation from this requirement, you must seek an accommodation through the Bank’s required accommodation request process before your first day of work.

This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.

Investment products offered through MLPF&S and insurance and annuity products offered through MLLA:

**Are Not FDIC Insured** **Are Not Bank Guaranteed** **May Lose Value**

**Are Not Deposits** **Are Not Insured by Any Federal Government Agency** **Are not a condition to Any Banking Service or Activity**

Merrill Lynch, Pierce, Fenner & Smith Incorporated (also referred to as “MLPF&S” or “Merrill”) makes available certain investment products sponsored, managed, distributed or provided by companies that are affiliates of Bank of America Corporation (“BofA Corp.”). MLPF&S is a registered broker-dealer, registered investment adviser, **Member SIPC** and a wholly owned subsidiary of BofA Corp. Insurance and annuity products are offered through Merrill Lynch Life Agency Inc., a licensed insurance agency and wholly owned subsidiary of Bank of America Corporation.

Trust, fiduciary and investment management services are provided by Bank of America, N.A., Member FDIC and wholly owned subsidiary of Bank of America Corporation (“BofA Corp.”).

Bank of America Private Bank is a division of Bank of America, N.A.

Banking products are provided by Bank of America, N.A. and affiliated banks, Members FDIC and wholly owned subsidiaries of Bank of America Corporation.