Bank of America
Software Engineer III-AI/ML/GenAI
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 position is focused on design, build, and operate of reusable toolkits for Gen AI RAG capabilities. This job is responsible for developing and delivering complex requirements to accomplish business goals. Key responsibilities 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. Job expectations include a strong knowledge of development and testing practices common to the industry and design and architectural patterns. 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 coaches 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. Hands on experience building frameworks using MLOps, Fine Tuning techniques, Inference Frameworks 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 (e.g. VS Code rather than Jupyter Notebooks), 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 Shift: 1st shift (United States of America) Hours Per Week: 40 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.
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 position is focused on design, build, and operate of reusable toolkits for Gen AI RAG capabilities. This job is responsible for developing and delivering complex requirements to accomplish business goals. Key responsibilities 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. Job expectations include a strong knowledge of development and testing practices common to the industry and design and architectural patterns. 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 coaches 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. Hands on experience building frameworks using MLOps, Fine Tuning techniques, Inference Frameworks 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 (e.g. VS Code rather than Jupyter Notebooks), 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 Shift: 1st shift (United States of America) Hours Per Week: 40 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.