Vice President, Full-Stack Engineer

BNY Mellon•New York, NY

4h•$83,000 - $209,000•Onsite

About The Position

We’re seeking a future team member for the role of Vice president, Full-stack Engineer to join our AI Transformation Office. This role is located in New York, NY. In this role, you’ll make an impact in the following ways: Design, build and ship production-grade GenAI and agentic automation solutions end-to-end – from scoping and prototyping through to deployment – applying AI-native tooling across the full workflow, including design, testing and documentation. Understand the business problem first, then use AI tooling to accelerate solution design rather than to replace the thinking behind it. Partner with Product Owners, line-of-business stakeholders and architects to design, prototype and deliver AI-powered solutions spanning automation, workflow orchestration and client-facing tooling. Build and contribute to AI-forward architecture standards, including prompt engineering patterns, agentic workflow design and LLM integration guidelines. Participate in code reviews with an AI-first lens – assessing both the quality of the code and how effectively AI tooling was leveraged in the build. Ensure solutions meet BNY’s standards for regulatory compliance, risk management and internal controls, including the responsible and secure use of AI. Demonstrate teamwork. Promote a collaborative and inclusive work environment aligned with our company culture and values.

Requirements

5+ years of software engineering experience, including demonstrable and recent use of AI-native development tools as a core part of your daily workflow rather than an occasional one.
Daily working proficiency with AI coding tools such as Claude Code, Windsurf, Cursor or GitHub Copilot. This is a baseline expectation for the role rather than a differentiator.
Strong hands-on development experience in Python and/or Java for backend service development.
Hands-on LLM integration experience using OpenAI, Anthropic or equivalent APIs.
Working knowledge of Model Context Protocol (MCP), REST APIs and microservices architecture.
Experience designing and delivering solutions on a major cloud platform – AWS, Azure or GCP.
Bachelor’s degree in computer science, Engineering or a related field.

Nice To Haves

Experience with agentic frameworks such as LangChain, LangGraph, AutoGen or similar.
RAG pipeline design and vector database experience (Pinecone, Weaviate, pgvector).
Solid understanding of Agile methodologies and SDLC tooling, including Jira, Git and CI/CD pipelines.

Responsibilities

Design, build and ship production-grade GenAI and agentic automation solutions end-to-end – from scoping and prototyping through to deployment – applying AI-native tooling across the full workflow, including design, testing and documentation.
Understand the business problem first, then use AI tooling to accelerate solution design rather than to replace the thinking behind it.
Partner with Product Owners, line-of-business stakeholders and architects to design, prototype and deliver AI-powered solutions spanning automation, workflow orchestration and client-facing tooling.
Build and contribute to AI-forward architecture standards, including prompt engineering patterns, agentic workflow design and LLM integration guidelines.
Participate in code reviews with an AI-first lens – assessing both the quality of the code and how effectively AI tooling was leveraged in the build.
Ensure solutions meet BNY’s standards for regulatory compliance, risk management and internal controls, including the responsible and secure use of AI.
Demonstrate teamwork. Promote a collaborative and inclusive work environment aligned with our company culture and values.