Bank Of America Principal Engineer - GenAI Platform 

United States, New York, New York 

535378321

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 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.

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.