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!
Key Skills for This Role
fastapigitkafkakubeflowkubernetesmlflow
Full Job Posting
Responsibilities:
Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack
Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle
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Build and maintain frameworks supporting model development, fine-tuning, deployment, inferencing, monitoring, and observability.
Implement event-driven and streaming solutions leveraging technologies such as Kafka and distributed processing platforms.
Contribute to CI/CD pipelines, automation frameworks, testing strategies, and DevOps practices.
Collaborate with platform engineers, architects, data scientists, and business stakeholders to deliver new capabilities.
Participate in design discussions, code reviews, sprint planning, story refinement, and estimation activities.
Ensure solutions meet enterprise standards for security, scalability, governance, resiliency, and operational excellence.
Support platform observability, monitoring, and performance optimization initiatives.
Continuously evaluate emerging AI technologies and contribute innovative solutions to enhance platform capabilities.
Core Engineering Responsibilities
Develop code and automated tests to deliver stories and requirements meeting quality and compliance standards.
Participate in application design leveraging data, application, integration, and platform architecture patterns.
Collaborate in requirement analysis, story refinement, and solution design activities.
Estimate and deliver assigned work within Agile development cycles.
Build agentic applications, AI assistants, workflow automation capabilities, and event-driven services using Kafka, containers, and MCP architectures.
Deliver secure, scalable, observable, and resilient software solutions aligned with enterprise standards.
Troubleshoot, optimize, and maintain platform services to ensure operational excellence.
Required Qualifications
Bachelor’s degree in computer science, Engineering, Data Science, or job related field required..
6+ years of software engineering experience with strong expertise in Python-based application development.
Experience developing AI/ML, Data Science, Data Engineering, or analytics applications in enterprise environments.
Strong understanding of modern Generative AI and Data Science platform architectures, including compute-storage separation, virtual environments, containers, Jupyter, and VS Code-based development.
Hands-on experience developing AI/ML and GenAI solutions using modern frameworks and tools.
Experience building scalable REST APIs and microservices using FastAPI or similar frameworks.
Experience developing applications leveraging vector stores, inference services, model-serving technologies, and AI orchestration frameworks.
Strong Python programming skills with experience building production-grade applications and reusable libraries.
Experience with AI/ML lifecycle management frameworks such as MLFlow, Kubeflow, model deployment, fine-tuning, and inference frameworks.
Experience building applications with API Gateway integration, JWT-based authentication, and enterprise security controls.
Understanding of metadata management, data lineage, governance principles, and semantic layer concepts.
Experience working within large-scale engineering organizations utilizing Git-based development, CI/CD pipelines, automated testing, and collaborative development practices.
Familiarity with cloud-native development, containers, Kubernetes, and distributed computing environments.
Experience building MCP servers, AI agents, and multi-agent orchestration frameworks.
Knowledge of LLM integration, prompt engineering, model evaluation, and AI observability.
Familiarity with enterprise AI governance, responsible AI, metadata, and data quality concepts.
Exposure to enterprise-scale Generative AI platforms and self-service developer ecosystems.
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
Shift:
Hours Per Week:
About Bank of America
Financial Services10,001+Founded 1904
Bank of America is a multinational financial services company and one of the largest banks in the United States. It provides banking, investing, asset management, and other financial products and services to individuals, businesses, and institutions worldwide.
