Vice President, AI​/Machine Learning Software Engineer

Position: Vice President, AI / Machine Learning Software Engineer
Location: New York

Job-: AI / Machine Learning Software Engineering

Location:

New York, NY, United States

Schedule:

Full time, Day Posted:
Base Salary Min: 83000

Base Salary Max: 209000

Vice President AI/ML Software Engineer 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 are seeking a Vice President AI/ML Software Engineer to design and implement agentic AI systems, RAG pipelines, and intelligent document processing services. This is a senior individual contributor role with high autonomy -- you will own significant components of our AI platform, from embedding pipelines and vector retrieval to multi-agent extraction workflows. You will work closely with the SVP lead to translate architectural vision into production code, while mentoring mid-level engineers and driving technical excellence across the team.

This role is in New York, NYWhat 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 quality gates
- Greenfield AI + enterprise integration -- build new AI-native systems that plug into established platforms

In this role, you'll have the opportunity to impact on our organization in the following ways:

AI Systems Development Implement agentic pipelines: agent loops, tool registries, memory stores, reasoning traces, and self-correction mechanisms
- Build and optimize RAG systems end-to-end:

- Document ingestion and preprocessing (OCR output, PDFs, structured/unstructured text) - Chunking strategies (section-aware, semantic, sliding window, hierarchical) - Embedding generation and vector index management
- Retrieval orchestration: hybrid search, metadata filtering, re-ranking
- Context assembly and prompt construction for downstream LLM calls
- Develop vectorization pipelines -- embedding model integration, batch processing, incremental index updates, and similarity search tuning
- Implement multi-agent coordination patterns: shared blackboards, inter-agent messaging, task decomposition, and consensus mechanisms
- Build prompt engineering infrastructure: template management, few-shot example selection, chain-of-thought scaffolding, and output parsing
- Develop evaluation harnesses: automated accuracy measurement, retrieval quality metrics, regression detection, and A/B comparison tooling Platform & Backend Engineering Build FastAPI services exposing AI capabilities as production APIs (extraction, validation, classification) - Contribute to Java/Spring Boot platform services where AI integrates with business workflow
- Design and maintain database schemas for AI metadata: audit trails, pipeline runs, memory entries, knowledge graphs
- Implement content policy enforcement and data governance controls within AI pipelines Mentorship & Collaboration Mentor 2-3 mid-level engineers on AI engineering practices
-…