Feature Lead - Technology - 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 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!

Generative AI (GenAI) presents an exciting opportunity to derive valuable insights from data and drive revenue growth, efficiencies, and improved business processes. Technology will collaborate with Global Markets Sales & Trading, Quantitative Strategies & Data Group (QSDG) & Platform teams to the design and buildout its global GenAI platform.

Platform will cater to a rapidly growing number of use cases that harness the power of GenAI, leveraging both proprietary and open‑source Large Language Models, and large structured and un‑structured data sets to provide insights to Global Markets Sales & Trading, QSDG, Research, and Operations.

We are seeking a Feature Lead to provide leadership, technical direction and oversight to a team responsible for the implementation of GM's new GenAI platform. In this role, you will collaborate with multidisciplinary teams to integrate business use cases into the platform while ensuring these solutions are reusable, scalable and sustainable.

Hands‑on engagement in the full software lifecycle activities is expected. This includes requirements analysis, architecture design, coding, testing, and deployment. You will be responsible for driving projects forward, mentor junior team members, and contribute to continuous improvement initiatives.

• Designs, develops and is accountable for feature delivery

• Applies enterprise standards for solution design, coding and quality

• Ensures solution meets product acceptance criteria with minimal technical debt

• Guides the team on work breakdown and execution

• Works with the Product Owner to ensure that product backlog/requirements are healthy, with clear acceptance criteria

• Plays a team lead role (as an individual contributor) and mentors the team

• Guides team members with skills and practices (planning and estimation, peer reviews, and other engineering practices)

• Develops and trouble‑shoots high‑performance APIs using FastAPI and Python

• Implements distributed caching mechanisms, containerization and message queues for scalable systems

• Ensures CI/CD pipelines are in place for automated testing and deployment

• Design, develop, and is accountable for feature delivery of the end‑to‑end platform implementation and related business use cases

• 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

• Implement hardware upgrade & software enhancement to meet global performance expectations

• Experience in designing & implementing multi‑tier (including microservices) application platforms

• High coding proficiency in Python and Unix scripting

• In‑depth knowledge of relational databases (e.g. Oracle, MySQL) and No
  
  SQL 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

• Experience implementing data analytics / AI solutions

• Knowledge of machine learning frameworks like…