Bank of America Corporation
Principal Engineer - GenAI Platform
Bank of America Corporation, New York, NY
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. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.
One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.
Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.
Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!
Job Description:
This job is responsible for defining and leading the engineering approach for solutions at the program or portfolio level, to deliver significant business outcomes. Key responsibilities include continuously improving the design, quality, and reuse of the solution and delivering technology enablers that improve development efficiencies for the solution. Job expectations include familiarity with at least one area of engineering, acting as a "go to" reference across the organization, and applying knowledge to improve technical competencies through recruitment and development activities.
LOB Specific Job Summary
The Principal Engineer will be a detail-oriented, highly technical, hands-on senior software developer, and a key member of the team developing the Global Markets Generative AI platform. The Principal Engineer will institute efficient and high quality software development practices, and deliver high quality AI solutions to the business. These solutions will be engineered for scalability, performance, reliability, and supportability.
Responsibilities:
Required Qualifications
• Extensive experience in designing & implementing multi-tier (including microservices) application platforms.
• Proven ability to plan and lead delivery by a functionally diverse and geographically dispersed team.
• Possess consistent record for delivering projects on time and on budget
• 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.
Desired Qualifications
• 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.
Skills:
Education Requirements - Bachelor Degree or Equivalent Work Experience
Shift:
1st shift (United States of America)
Hours Per Week:
40
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.
One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.
Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.
Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!
Job Description:
This job is responsible for defining and leading the engineering approach for solutions at the program or portfolio level, to deliver significant business outcomes. Key responsibilities include continuously improving the design, quality, and reuse of the solution and delivering technology enablers that improve development efficiencies for the solution. Job expectations include familiarity with at least one area of engineering, acting as a "go to" reference across the organization, and applying knowledge to improve technical competencies through recruitment and development activities.
LOB Specific Job Summary
The Principal Engineer will be a detail-oriented, highly technical, hands-on senior software developer, and a key member of the team developing the Global Markets Generative AI platform. The Principal Engineer will institute efficient and high quality software development practices, and deliver high quality AI solutions to the business. These solutions will be engineered for scalability, performance, reliability, and supportability.
Responsibilities:
- Develops the engineering approach for the entire program/portfolio solution and works with Architecture, to develop/analyze/deliver the implementation of technical enablers
- Leads the planning, definition, and design of the complex features which span multiple teams and explore solution alternatives
- Creates ideas on designing complex technology and solution development approaches
- Leads the technical oversight for teams in solution development including design reviews and code within own domain
- Defines the technology tool stack for the solution within ranged of internally approved and supported technologies
- Explores state-of-the-art technologies to improve development efficiencies, quality of test/QA coverage, and release management
- Leads and is responsible for the end-to-end test strategy/creation/adherence, and the integration between teams for a program/portfolio solution
- Design, develop, and oversee end-to-end implementation of the new GM GenAI platform and its related business use cases.
• Develop architectural approaches for AI software and hardware integration with emphasis on quality, performance, resiliency, and reusability.
• Collaborate with business and IT stakeholders to understand and fulfill business needs & objectives.
• Lead cross-disciplinary teams to deliver technical solutions that align with business priorities and expectations.
• 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.
• Mentor team members in technical design and development best practices
• Drive platform performance, scalability & resiliency testing
• Implement hardware upgrade & software enhancement to meet global performance expectations.
• Address regulatory & performance driven requirements for regional/localization of infrastructure & platform.
• Conduct research & prototyping to evaluate and identify new solutions to enhance platform and team capabilities.
• Monitor AI industry trends and stay abreast of advancements in AI, machine learning, and data science to continuously innovate and improve solutions.
Required Qualifications
• Extensive experience in designing & implementing multi-tier (including microservices) application platforms.
• Proven ability to plan and lead delivery by a functionally diverse and geographically dispersed team.
• Possess consistent record for delivering projects on time and on budget
• 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.
Desired Qualifications
• 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.
Skills:
- Automation
- Influence
- Result Orientation
- Stakeholder Management
- Technical Strategy Development
- Application Development
- Architecture
- Business Acumen
- Risk Management
- Solution Design
- Agile Practices
- Analytical Thinking
- Collaboration
- Data Management
- Solution Delivery Process
Education Requirements - Bachelor Degree or Equivalent Work Experience
Shift:
1st shift (United States of America)
Hours Per Week:
40