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Lead GenAI features, drive data pipelines and AI solutions as Feature Lead at Bank of America.
Mid-level role in New York, working onsite with Python, Kafka, FastAPI, and GenAI tools.
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 Profile Summary
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.
Feature Lead Data Engineer to build out data pipelines to source large volumes of structured (ex: KDB) & unstructured data (ex: Research documents, Term Sheets), classify, and store data to meet GenAI requirements. The role will design, develop, and engineer platform for high performance and scalability.
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)
- 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 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 technical lead role (as an individual contributor) and coach junior developers.
- Guides team members with skills and practices (planning and estimation, peer reviews, and other engineering practices)
Required Qualifications
- Experience in designing & implementing multi-tier (including microservices) application platforms (Fast API)
- Extensive experience with high performance Pub/Sub (Kafka) architecture.
- Extensive experience with Distributed System – specifically Redis, Kubernetes (K8s), Docker Containers
- High coding proficiency in Python
- In-depth knowledge of relational databases (e.g. Oracle, MySQL) and NoSQL databases (e.g. MongoDB), and large structured & unstructured dataset processing
- Strong communication skills to effectively collaborate with various stakeholders
- Critical thinking and problem-solving skills are essential
Desired Qualifications
- Experience implementing data ingestion, Retrieval Augmented Generation(RAG), Agentic RAG, Agent frameworks (LangGraph).
Skills
- Automation
- Influence
- Result Orientation
- Stakeholder Management
- Technical Strategy Development
- Architecture
- Business Acumen
- Risk Management
- Solution Delivery Process
- Solution Design
- Agile Practices
- Analytical Thinking
- Collaboration
- Data Management
- DevOps Practices
Minimum Education Requirements
Bachelor's Degree or Equivalent Professional Experience
Shift
1st shift (United States of America)
Hours Per Week
40