Principal Engineer - Genai Team

Bank of America Bank of America · Banking · New York, NY

Principal Engineer for a Global Markets Generative AI platform team, focusing on scaling the platform, integrating applications, and designing solutions with Agents. The role involves hands-on development, architectural design, and collaboration with business and technology stakeholders to leverage LLMs and large datasets for insights.

What you'd actually do

  1. Develops the engineering approach for the entire program/portfolio solution and works with Architecture, to develop/analyze/deliver the implementation of technical enablers
  2. Leads the planning, definition, and design of the complex features which span multiple teams and explore solution alternatives
  3. Creates ideas on designing complex technology and solution development approaches
  4. Leads the technical oversight for teams in solution development including design reviews and code within own domain
  5. Defines the technology tool stack for the solution within ranged of internally approved and supported technologies

Skills

Required

  • Machine Learning
  • Data Analytics
  • AI
  • Generative AI
  • Python
  • object-oriented techniques
  • REST API development
  • databases
  • large structured & unstructured dataset processing
  • messaging

Nice to have

  • Higher education in computer science or relevant previous work experience
  • 10+ years of relevant experience with a degree in engineering

What the JD emphasized

  • 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
  • designing scale with Agents
  • integrating applications with scalability and availability requirements, especially with Agents

Other signals

  • Generative AI platform
  • scale the platform
  • designing scale with Agents
  • integrating applications with scalability and availability requirements, especially with Agents