Software Engineer III (AI/ML)

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!

This position is part of Bank of America’s Erica, Chat, and Voice Technology organization. The team builds next-generation AI, Search, and Conversational platforms that power virtual financial assistant and search capabilities across multiple channels.

Candidate will design, develop, test, and support scalable software solutions and AI-powered applications. The role requires strong software engineering fundamentals, experience working with modern AI/ML technologies, and the ability to collaborate effectively within an Agile delivery team.

• →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)
• →Implement high-quality code following enterprise standards, architecture patterns, and engineering best practices.
• →Participate in solution design discussions and contribute to technical implementation decisions.
• →Develop and integrate AI/ML-powered capabilities into enterprise applications.
• →Support implementation of Generative AI and Retrieval Augmented Generation (RAG) solutions.
• →Develop and maintain RESTful APIs, microservices, and backend services.
• →Perform code reviews and contribute to continuous improvement of engineering practices.
• →Troubleshoot, debug, and resolve application and production issues.
• →Ensure solutions meet security, performance, scalability, and reliability requirements.
• →Collaborate with product owners, architects, and engineering teams to deliver business requirements.
• →Support deployment, monitoring, and optimization of applications across enterprise environments.
• →Participate in Agile ceremonies including sprint planning, estimation, and retrospectives.

• 3+ years of software development experience using Java, Python, or related technologies.
• Strong object-oriented programming and software design skills.
• Experience building enterprise applications and RESTful web services.
• Knowledge of AI/ML concepts and experience developing AI-enabled applications.
• Familiarity with Large Language Models (LLMs), Generative AI, and modern AI frameworks.
• Experience implementing Retrieval Augmented Generation (RAG) solutions and retrieval techniques.
• Experience working with source control tools such as Git.
• Strong analytical and problem-solving skills.
• Good verbal and written communication skills.
• Experience working in Agile development environments.

• Experience with Elasticsearch, OpenSearch, SOLR, or similar search platforms.
• Experience with AI/ML frameworks and model integration.
• Experience with vector databases, embeddings, and semantic search.
• Experience with Kubernetes, Docker, and containerized deployments.
• Experience with cloud platforms such as Azure or AWS.
• Experience with Cassandra, Redis, or other distributed data technologies.
• Understanding of MLOps, model deployment, monitoring, and observability concepts.
• Experience with chatbot, conversational AI, or virtual assistant platforms.
• Experience with prompt engineering and model evaluation techniques.
• Experience with GPU-based AI workloads and inference platforms.

• 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