Bank of America
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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
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.
Join a groundbreaking team at Bank of America, at the forefront of innovation in AI. We are building the next generation of Gen AI platform, empowering new AI initiatives across Consumer, Small Business, Global Banking, and Wealth organizations. This is a unique opportunity to contribute to a critical platform that will enable secure, scalable, and high-performance AI capabilities across the organization.
This position is focused on design, build, and operate of reusable toolkits for Gen AI RAG capabilities.
Key responsibilities of the job include ensuring that software is developed to meet functional, non-functional and compliance requirements, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset.
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 Performs spike/proof of concept as necessary to mitigate risk or implement new ideas Automates manual release activities Designs, develops, and maintains automated test suites (integration, regression, performance) Required Qualifications:
5+ years of software development experience on large, complex systems required Experience in OOP in Python/Scala/Java programming experience with expert level development skills Hands on experience and knowledge generative AI RAG process for various use cases, including chunking, embedding, retrieval, reranking and summarization Hands-on experience in application development in one or more areas MongoDB, Redis, Angular/React Frameworks, Containerization, Building API based application leveraging FAST API services, JWT Integration, API Gateway Develop efficient utilities, automation frameworks, data science platforms that can be utilized across multiple Data Science teams for AI/ML and GenAI work Experience with AI/ML/GenAI Lifecycle Management and Development and its Ecosystem Building API based application leveraging FAST API services, JWT Integration, API Gateway Working in large sized teams that collaboratively develop on a shared multi-repo codebase using IDEs, Continuous Integration (CI), Continuous Deployment (CD) and Continuous Testing Hands-on DevOps experience with one or more of the following enterprise development tools: Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (SonarQube and pytest Unit Testing), Artifact Management (Artifactory) and Deployment (Ansible) Desired Qualifications:
Experience developing Gen AI training and RAG platform with open-source model, inferencing & servicing capabilities, MCP modules etc 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 Bank of America is an equal opportunities employer.
#J-18808-Ljbffr
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 Performs spike/proof of concept as necessary to mitigate risk or implement new ideas Automates manual release activities Designs, develops, and maintains automated test suites (integration, regression, performance) Required Qualifications:
5+ years of software development experience on large, complex systems required Experience in OOP in Python/Scala/Java programming experience with expert level development skills Hands on experience and knowledge generative AI RAG process for various use cases, including chunking, embedding, retrieval, reranking and summarization Hands-on experience in application development in one or more areas MongoDB, Redis, Angular/React Frameworks, Containerization, Building API based application leveraging FAST API services, JWT Integration, API Gateway Develop efficient utilities, automation frameworks, data science platforms that can be utilized across multiple Data Science teams for AI/ML and GenAI work Experience with AI/ML/GenAI Lifecycle Management and Development and its Ecosystem Building API based application leveraging FAST API services, JWT Integration, API Gateway Working in large sized teams that collaboratively develop on a shared multi-repo codebase using IDEs, Continuous Integration (CI), Continuous Deployment (CD) and Continuous Testing Hands-on DevOps experience with one or more of the following enterprise development tools: Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (SonarQube and pytest Unit Testing), Artifact Management (Artifactory) and Deployment (Ansible) Desired Qualifications:
Experience developing Gen AI training and RAG platform with open-source model, inferencing & servicing capabilities, MCP modules etc 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 Bank of America is an equal opportunities employer.
#J-18808-Ljbffr