Principal Engineer - GenAI Platform

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

Global Markets GenAI Technology is a fast-growing global team with locations in New York City, Charlotte, London, and India. Generative AI presents an exciting opportunity to derive valuable insights from data and drive revenue growth, efficiencies, and improved business processes. Global Markets GenAI Technology will collaborate with Global Markets Sales & Trading, Quantitative Strategies & Data Group (QSDG) & Platform teams to the design and buildout global generative AI platform.

The platform will cater to a rapidly growing number of use cases that harness the power of Generative AI. Both proprietary and open-source Large Language Models, and large structured and un-structured data sets will be leveraged to produce insights for Global Markets and its clients.

We are looking for a Senior Principal Engineer to continue to scale the platform. 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. These solutions will be engineered for scalability, performance, reliability, and supportability.

The platform in production with multiple use cases continues to scale with rapidly growing opportunities using Generative AI, built on proprietary and open-source Large Language Models, working with on-premises and Cloud infrastructure, and using structured and unstructured data sets to produce insights for Global Markets and its clients.

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
• Global Markets GenAI Technology works across Sales & Trading and the Quantitative teams to buildout our Generative AI platform.
• Identify, design, and implement integrating applications with scalability and availability requirements, especially with Agents.
• Develops architectural approaches for Generative AI software and hardware integration with emphasis on designing scale with Agents.
• Work with stakeholders from both the business and technology organizations to optimize product design.
• Mentors team members in technical design and development best practices.
• Monitors AI industry trends and stay abreast of advancements in AI, machine learning, and data science to continuously innovate and improve solutions.
• Leveraging Generative AI solutions and traditional NLP techniques

Required Qualifications

• Strong experience in Machine Learning, Data Analytics, AI.
• Experience implementing Generative AI solutions highly desirable.
• Knowledge of Generative AI and machine learning frameworks, products, and tools for agentic solutions.
• Extensive experience in designing & implementing multi-tier (including microservices) application platforms.
• Advanced proficiency in Python, including object-oriented techniques, and REST API development.
• In-depth knowledge of databases, large structured & unstructured dataset processing, and messaging is important.
• Proven ability to partner effectively with business stakeholders to drive technology strategy and align with organizational goals.
• A self-starter attitude quickly adapts to new technologies and industry trends.
• Strong interpersonal and communication skills to work independently and in a collaborative environment.
• 10+ years of relevant experience with a degree in engineering.

Desired Qualifications

• Experience in Capital Markets or similar environment

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:

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