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 drive Responsible Growth and deliver for our clients, teammates, communities, and shareholders every day. Our inclusive workplace fosters career development, recognizes performance, and supports physical, emotional, and financial wellness through affordable, competitive, and flexible benefits. We value diverse perspectives shaped by military service, community college, and varied work and life experiences, which strengthen our workforce and positively impact the communities we serve.

Bank of America supports an in-office culture that emphasizes collaboration, engagement, and career growth, with clear in-office expectations and role-specific flexibility.

About the role

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. The role involves designing, developing, testing, and supporting scalable software solutions and AI-powered applications.

Responsibilities

• Code solutions and unit tests to deliver requirements/stories per defined acceptance criteria and compliance requirements.
• Design, develop, and modify architecture components, application interfaces, and solution enablers while maintaining principal architecture integrity.
• Mentor software engineers and coach the team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stacks.
• Execute story refinement, define requirements, and estimate work necessary for delivery lifecycle.
• Perform spikes/proofs of concept to mitigate risk or implement new ideas.
• Automate manual release activities.
• Design, develop, and maintain 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.

Requirements

• 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.

Qualifications

• Bachelor's or Master's Degree in Computer Science, Engineering, Information Systems, or a related field or equivalent experience.
• 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.

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

Schedule

1st shift (United States of America), 40 hours per week.