Senior Vice President, Full-Stack Engineer

BNY Mellon•Jersey City, NJ
•$120,000 - $210,000•Onsite

About The Position

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Senior Vice President, AI Engineer to join our AI Garage team of Wealth Services group. This role is located in Jersey City, NJ.

Requirements

  • Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required
  • 10-14 years of software, data, or AI engineering experience using Python or Java.
  • Extensive experience building and scaling production AI systems.
  • Deep expertise in at least one of: Agentic AI, RAG architectures, semantic technologies, platform engineering, or data engineering.
  • Practical experience building and operationalizing agentic applications, MCP/A2A interoperability solutions, and automated quality assurance and validation processes.
  • Proven record of technical leadership without requiring direct people management.
  • Strong ability to influence executives, architects, and engineering teams.

Responsibilities

  • Driving architecture and design decisions for complex GenAI solutions, agentic systems, knowledge platforms, and data products.
  • Leading the implementation of shared frameworks, reusable components, and engineering accelerators adopted across multiple delivery pods.
  • Acting as the primary technical authority within your area of ownership, ensuring consistency of patterns and engineering excellence.
  • Partnering with business & infrastructure stakeholders to define solution approaches and delivery roadmaps.
  • Establishing best practices for observability, security, evaluation, governance, and operational readiness.
  • Mentoring engineers and reviewing designs, code, and production readiness across teams.
  • Hands-on architecture, prototyping, troubleshooting, and delivery of high-value AI capabilities.

Benefits

  • highly competitive compensation
  • benefits
  • wellbeing programs
  • generous paid leaves
  • paid volunteer time
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