via Indeed · 9 September 2026 ·11 days ago

Senior Vice President, Full-Stack Engineer

BNY
London Full-time
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We’re seeking a Senior Vice President, Full Stack Engineer , to join our Markets Engineering team within the FX business area . This role is located in London .

In this role, you’ll make an impact in the following ways:

  • Design, build and deliver enterprise\-grade AI\-driven solutions, including machine learning and generative AI capabilities, to solve meaningful business problems and accelerate innovation.

  • Work closely with Product, Sales, Trading and Operations stakeholders to translate business needs into practical, scalable and supportable technology solutions.

  • Apply practical knowledge of modern AI frameworks, tooling and deployment patterns to support effective delivery.

  • Support the delivery of solutions for a growing and strategically important business area, helping to scale capability, accelerate innovation and enhance business outcomes.

  • Contribute to a culture of continuous improvement, innovation and AI\-led development across the engineering team.

  • Play a key role in advancing engineering best practices, using AI capabilities to improve productivity, quality and accelerate delivery.

  • Work collaboratively in small agile teams to help elevate technology practices and consistently apply engineering best practices.
To be successful in this role, we’re seeking the following:
  • Strong experience designing, building and delivering scalable technology solutions in Enterprise environments.

  • Experience in machine learning or generative AI use cases, with the ability to apply these technologies to meaningful business problems.

  • Strong understanding of how AI can be embedded across the software development lifecycle to improve engineering productivity, accelerate delivery and enhance solution quality.

  • Keen interest in developing and adopting a modern, AI\-driven SDLC, including AI\-assisted design, development, testing, documentation and operational support.

  • Ability to identify practical opportunities for AI\-led automation and continuous improvement across engineering workflows.

  • Strong Java and Python development skills in mission\-critical application environments.

  • Bachelor’s degree in computer science, engineering or a related discipline, or equivalent work experience, required.

  • Experience in the financial services industry is a plus.

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