Software Engineer III - Equities Technology

Bank of America Bank of America · Banking · Jersey City, NJ

Software Engineer III role at Bank of America focused on supporting Equities-wide AI initiatives and expanding the use of AI across the Equities Technology organization. The role involves identifying AI use cases, organizing and prioritizing efforts, collaborating with business and technology teams, and contributing to proof-of-concepts. The individual will help coordinate AI initiatives, understand stakeholder needs, and maintain a working understanding of the AI landscape, including Generative AI and traditional machine learning concepts. Responsibilities include coding solutions, designing architecture components, mentoring engineers, and automating processes, with a focus on partnership, execution, and follow-through.

What you'd actually do

  1. Help organize and coordinate AI‑related initiatives across the Equities business.
  2. Work with stakeholders to understand needs, clarify priorities, and help determine what is worth working on and when.
  3. Support planning and tracking of AI initiatives to ensure ideas move forward in a structured and practical way.
  4. Act as a central point of coordination between business, data, and technology teams for AI‑related work.
  5. Maintain a working understanding of the AI landscape, including Generative AI and traditional machine learning concepts.

Skills

Required

  • General experience or background in AI, data, analytics, or technology‑enabled solutions.
  • A genuine interest and passion for AI, with a desire to keep learning.
  • Ability to organize work, manage priorities, and follow through.
  • Comfort working in a team environment and partnering across functions.
  • Some hands‑on experience contributing to technical work (e.g., Python, data analysis, AI tools, or similar).
  • Strong communication skills and a practical, grounded approach to problem‑solving.

Nice to have

  • 2+ years of relevant work experience
  • Proficiency in programming language(s) required for the role
  • Exposure to financial services or Equities, though not required.
  • Familiarity with cloud platforms or AI tools.
  • Experience contributing to POCs or pilot initiatives.
  • Understanding of enterprise environments and governance considerations.

What the JD emphasized

  • Equity‑wide AI initiatives
  • use of AI across the Equities Technology organization
  • proof‑of‑concepts (POCs)
  • partnership, steady execution, and thoughtful follow‑through
  • organize and coordinate AI‑related initiatives
  • what is worth working on and when
  • working understanding of the AI landscape
  • simple proof‑of‑concepts (POCs)
  • plain, practical terms
  • AI adoption