Feature Lead - Technology - GenAI Platform

Bank of America•Jersey City, NJ

1d•Onsite

About The Position

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.

Requirements

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 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

Nice To Haves

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

Responsibilities

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
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)