Senior GenAI Platform Engineer – Scalable AI Services

Bank of America; Addison (IL); On-site; USD 130,000 - 190,000; Full time

Job summary

Bank of America is seeking an experienced software engineer to build enterprise-grade Generative AI and Data Science platform capabilities. You will design, develop, and deliver reusable GenAI services, APIs, and components that support model development, deployment, inferencing, automation, and governance.

You will partner with senior engineers, architects, product owners, and data scientists to create scalable, secure solutions using cloud-native technologies, distributed computing, and best

Qualifications

• Bachelor’s degree in computer science, Engineering, Data Science, or related field required.
• 6+ years of software engineering experience with strong Python-based development.

Responsibilities

• Develop and deliver enterprise GenAI platform capabilities and reusable services.
• Build scalable APIs, microservices, and platform components for AI/ML lifecycle management.
• Collaborate with data scientists, architects, and product owners to deliver secure, scalable solutions.
• Contribute to CI/CD pipelines, automated testing, and DevOps practices.
• Design and implement event-driven and streaming solutions using Kafka.

Skills

Application Development

Automation

Influence

Solution Design

Technical Strategy Development

Architecture

Business Acumen

DevOps Practices

Result Orientation

Solution Delivery Process

Analytical Thinking

Collaboration

Data Management

Risk Management

Test Engineering

Education

Bachelor’s degree in computer science

Tools

FastAPI

REST APIs

Kubernetes

MLFlow

Kubeflow

Jupyter

VS Code

Job description

Bank of America is seeking an experienced software engineer to build enterprise-grade Generative AI and Data Science platform capabilities. You will design, develop, and deliver reusable GenAI services, APIs, and components that support model development, deployment, inferencing, automation, and governance.

You will partner with senior engineers, architects, product owners, and data scientists to create scalable, secure solutions using cloud-native technologies, distributed computing, and best