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:
40Pay Transparency details
US - NY - New York - 1100 Ave Of The Americas - Two Bryant Park (NY1540)Pay and benefits informationPay range$106,500.00 - $173,700.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis 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.BenefitsThis 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.Skills Required
- Experience in designing & implementing multi-tier application platforms (Fast API)
- Extensive experience with high performance Pub/Sub (Kafka) architecture
- Extensive experience with Distributed System - specifically Redis, Kubernetes, Docker Containers
- High coding proficiency in Python
- In-depth knowledge of relational databases (e.g., Oracle, MySQL) and NoSQL databases (e.g., MongoDB)
- Strong communication skills
Bank of America Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Bank of America and has not been reviewed or approved by Bank of America.
-
Fair & Transparent Compensation — The $25/hour U.S. minimum wage, reaffirmed in recent company materials, sets a clear compensation floor that lifts entry-level and operations pay. Public salary information and disclosures provide visible benchmarks for pay across roles.
-
Parental & Family Support — Parental leave extends up to 26 weeks with 16 weeks fully paid for eligible teammates, alongside backup child and adult care and a dedicated Life Event Services team. Family-building assistance offers up to a $20,000 lifetime reimbursement and bereavement leave provides 20 paid days for loss of a spouse, partner, or child.
-
Retirement Support — Retirement programs include a 401(k) match up to 5% of eligible pay plus an additional 2–3% annual company contribution based on service. These employer contributions add meaningful long-term value beyond base pay.
Bank of America Insights
What We Do
We make financial lives better for our clients and our communities through the power of every connection. Our employees are at the heart of this purpose, and are key to driving responsible growth. Every day, across the globe, our employees bring a commitment to our purpose and to driving responsible growth by living our values: deliver together, act responsibly, realize the power of our people and trust the team. A key aspect of driving responsible growth is doing so in a sustainable manner, a critical pillar of which is being a great place to work for our teammates.
Gallery
