Senior Vice President, Full-Stack Engineer

BNY Mellon•New York, NY
•Hybrid

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/New York, NY

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 and wellbeing programs
  • Access to flexible global resources and tools
  • Generous paid leaves
  • Paid volunteer time
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service