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Vice President - Full-Stack Engineer

BNY

Salary not specified
Oct 3, 2025
Pittsburgh, PA, USA • Lake Mary, FL, USA
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BNY is looking to harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. The Enterprise AI Infrastructure team needs an AI Engineer to develop, prototype, and deploy scalable software solutions, support Mainframe modernization, and embed automation and AI-assisted capabilities within modernized platforms.

Requirements

  • Strong proficiency in Python and Java programming
  • Experience with DevOps tools and practices (e.g., CI/CD pipelines, containerization, automation frameworks)
  • Strong data handling and analysis skills using pandas and numpy
  • Solid familiarity with machine learning and deep learning principles
  • Experience with ML frameworks such as scikit-learn, TensorFlow, and PyTorch
  • Exposure to Generative AI tools (OpenAI API, LangChain, prompt engineering)
  • Comfort with rapid prototyping and iterative development

Responsibilities

  • Develop, prototype, and deploy scalable software solutions using Java and Python.
  • Support Mainframe modernization initiatives by applying automation and analytics.
  • Implement and maintain CI/CD pipelines and DevOps practices to ensure smooth deployment and operation of applications.
  • Collaborate with data science, infrastructure and engineering teams to embed automation and AI-assisted capabilities within modernized platforms.
  • Apply familiarity with AI/ML tools and concepts to support solution development.
  • Work independently and as part of a team to iterate rapidly on prototypes and solutions.
  • Stay current with emerging Java technologies, Python scripting, DevOps tools, and AI/ML trends to continuously improve solutions and support modernization goals

Other

  • 4-days in office
  • Communicate technical concepts clearly and effectively to diverse audiences.
  • Clear and effective verbal communication
  • Ability to work independently and collaboratively in a team environment
  • Industry experience (3 – 4 yrs) strongly preferred