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Senior Vice President, AI​/Machine Learning Software Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: United States Digital Space LLC
Full Time position
Listed on 2026-09-03
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 240000 - 320000 USD Yearly USD 240000.00 320000.00 YEAR
Job Description & How to Apply Below
Position: Senior Vice President, AI / Machine Learning Software Engineer
Location: New York

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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 Lang Chain 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
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Position Requirements
10+ Years work experience
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