Senior Vice President, AI / Machine Learning Software Engineer

United States Digital Space LLC; New York (NY); On-site; USD 240,000 - 320,000; Full time

Job summary

BNY in New York, NY seeks a Senior Vice President AI/ML Software Engineer to lead the architecture and delivery of production-grade AI systems built on agentic frameworks, retrieval-augmented generation (RAG), and LLM orchestration.

You will own the technical vision for a multi-agent ecosystem—designing pipeline orchestration engines, embedding/vectorization strategies, knowledge retrieval systems, and AI-assisted code generation tooling.

Qualifications

• Hands-on technical leadership delivering production-grade AI systems.
• Own the technical vision for a multi-agent ecosystem including orchestration engines.
• Lead a VP-level engineer and a broader team of 4–8 developers.
• Located in New York, NY.

Responsibilities

• Architect autonomous AI pipelines for unstructured documents.
• Oversee embedding/vectorization, knowledge retrieval, and AI-assisted code generation tooling.
• Drive evaluation-driven development and production readiness.

Skills

AI Architecture

Team Leadership

RAG systems

LLM orchestration

Job description

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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/ML Software Engineer to lead the architecture and delivery of production-grade AI systems built on agentic frameworks, retrieval-augmented generation (RAG), and LLM orchestration. This is a hands‑on technical leadership role responsible for a team of engineers building autonomous AI pipelines that extract, validate, and reason over complex unstructured documents. You will own the technical vision for a multi‑agent ecosystem -- designing pipeline orchestration engines, embedding/vectorization strategies, knowledge retrieval systems, and AI‑assisted code generation tooling. You will lead a VP‑level engineer and a broader team of 4‑8 developers. This role is in New York, NY

What Sets This Role Apart

• You build the agent framework, not just configure one -- custom orchestration engine, not a LangChain wrapper
• Production AI with real consequences -- extraction accuracy directly impacts financial operations
• Full RAG ownership -- from raw OCR bytes through embedding, retrieval, and generation
• Evaluation-driven culture -- golden-truth datasets, automated regression, measurable qualit