Software Engineer III - GenAI Platform

Job Description:

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.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
 

Job Description:
This job is responsible for developing and delivering complex requirements to accomplish business goals. 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. 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 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)
• Design, develop, and oversee end-to-end implementation of the new GM GenAI platform and its related business use cases.
• Develop architectural approaches for AI software and hardware integration with emphasis on quality, performance, resiliency, and reusability.
• Collaborate with business and IT stakeholders to understand and fulfill business needs & objectives.
• Lead cross-disciplinary teams to deliver technical solutions that align with business priorities and expectations.
• Identify, prioritize and execute tasks in the software development life cycle.
• Establish standards and lead the charge on automation for end-to-end SDLC efficiency.
• Mentor team members in technical design and development best practices Drive platform performance, scalability & resiliency testing
• Implement hardware upgrade & software enhancement to meet global performance expectations.
• Address regulatory & performance driven requirements for regional/localization of infrastructure & platform.
• Conduct research & prototyping to evaluate and identify new solutions to enhance platform and team capabilities.
• Monitor AI industry trends and stay abreast of advancements in AI, machine learning, and data science to continuously innovate and improve solutions.

Required Qualifications:
• Extensive experience in designing & implementing multitier (including microservices) application platforms.
• Proven ability to plan and lead delivery by a functionally diverse and geographically dispersed team.
• Possess consistent record for delivering projects on time and on budget
• High coding proficiency in Python and Unix scripting
• In-depth knowledge of relational databases (e.g., Oracle, MySQL) and NoSQL databases (e.g., MongoDB), and large structured & unstructured dataset processing
• Knowledge in full range of front-end languages, libraries & frameworks (e.g., HTML/ CSS, JavaScript, XML, React, jQuery)
• Strong communication skills to effectively collaborate with various stakeholders.
• Critical thinking and problem-solving skills are essential.

Desired Qualifications:
• Experience implementing data analytics / AI solutions.
• Knowledge of machine learning frameworks like TensorFlow or PyTorch, LLM fine-tuning, Retrieval Augmented Generation (RAG) and tools for agentic solutions.

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

Minimum Education Requirements: Bachelor Degree or Equivalent Professional Experience

Shift:

Hours Per Week: