Feature Lead - GenAI Team

Quest Oracle Community; New York (NY); On-site; USD 106,500 - 173,700; Full time

Benefits offered by this job

Discretionary incentive

Benefits package

Job summary

Bank of America is seeking a Feature Lead Data Engineer to build and scale data pipelines sourcing large volumes of structured and unstructured data to meet GenAI requirements. You will design, develop, and engineer a platform with high performance and scalability for GenAI use cases across markets and teams.

You will guide the team, set standards, and collaborate with Product Owners to ensure clear acceptance criteria, while mentoring junior developers and driving automation across the SDLC.

Qualifications

• Experience designing & implementing multi-tier (including microservices) application platforms (FastAPI).
• Extensive experience with high performance Pub/Sub (Kafka) architecture.
• Distributed systems experience (Redis, Kubernetes, Docker).
• High coding proficiency in Python.
• Relational and NoSQL databases (Oracle, MySQL, MongoDB) and large data processing.
• Strong communication to collaborate with stakeholders; problem-solving skills.
• Experience with data ingestion, RAG and agent frameworks is a plus.

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 the backlog is healthy with clear acceptance criteria.
• Plays a team lead role as an individual contributor and mentors the team.
• Guides team members with planning, estimation, peer reviews, and engineering practices.
• Identifies, prioritizes, and executes SDLC tasks.
• Leads automation efforts for end-to-end SDLC efficiency.
• Delivers software enhancements to meet global performance expectations.

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

Education

Bachelor's Degree or Equivalent Professional Experience

Tools

FastAPI

Kafka

Redis

Kubernetes

Docker

Python

Oracle

MySQL

MongoDB

LangGraph

Job description

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 providing leadership, technical direction and oversight to a team delivering technology solutions. Key responsibilities of the job are to provide oversight of the design, implementation, and maintenance of complex computer programs, align technical solutions to business objectives, and ensure that coding practices/quality comply with software development standards. Job expectations include conducting multiple software implementations and applying both depth and breadth in knowledge of several technical competencies.

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

Pay Transparency details

US - NY - New York - 1100 Ave Of The Americas - Two Bryant Park (NY1540)

Pay and benefits information

Pay range

$106,500.00 - $173,700.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.