Senior Vice President, AI / Machine Learning Software Engineer

Senior 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’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 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:

Technical Leadership & Architecture

Architect agentic AI systems: multi-agent orchestration, tool-use patterns,

planning/reasoning loops, and autonomous decision chains - Design and evolve RAG

infrastructure -- chunking strategies, embedding pipelines, vector store

selection, retrieval ranking, and context window optimization - Define

vectorization strategy: embedding model selection, dimensionality trade-offs,

hybrid search (dense + sparse), and re-ranking approaches - Own the AI pipeline

orchestration framework -- blocks, inlets/outlets, blackboards, memory stores,

and content policy enforcement - Make build-vs-buy decisions across the AI

toolchain (vector databases, agent frameworks, evaluation harnesses, model

gateways) - Establish patterns for prompt engineering at scale: prompt

versioning, chain-of-thought decomposition, few-shot management, and guardrails

Agentic & RAG Systems

Design multi-agent architectures with shared memory, blackboard patterns, and

inter-agent communication protocols - Build autonomous extraction agents capable

of planning, tool selection, self-correction, and validation - Implement

knowledge graph construction from unstructured documents -- entity extraction,

relationship mapping, and graph-based retrieval - Develop evaluation frameworks:

retrieval precision/recall, extraction accuracy, agent task completion rates,

and hallucination detection - Design feedback loops: human-in-the-loop

correction, reinforcement from golden-truth datasets, and continuous prompt

refinement

Team Leadership

Lead, mentor, and grow a team of 4-8 engineers (AI/ML, backend, full-stack) -

Directly manage a VP-level AI engineer; provide technical guidance and career

development - Drive architecture reviews, design sessions, and technical

decision-making - Own sprint planning, technical backlog, and delivery

commitments - Foster a culture of rapid experimentation balanced with production

rigor

Hands-On Engineering -

Implement core agentic components: agent loops, tool registries, memory

persistence, and reasoning traces - Build embedding pipelines -- document

preprocessing, chunk boundary detection, metadata enrichment, and vector index

management - Develop scoring and validation systems (Bayesian confidence,

cross-agent consensus, golden-truth comparison) - Contribute to platform

services (Java/Spring Boot) and AI service layer (Python/FastAPI) - Build

AI-assisted developer tooling: code generation workflows, automated test

generation, and intelligent code review

Delivery & Operations

Own CI/CD pipelines, containerized deployments, and environment promotion -

Define observability: agent execution traces, token usage tracking, retrieval

quality metrics, and pipeline telemetry - Manage schema evolution and data

stores (relational + vector) - Coordinate cross-team dependencies with platform

engineering, data engineering, and infrastructure

To be successful in this role, we’re seeking the following:

Bachelor's degree or Advanced degree in computer science engineering or a

related discipline, or equivalent work experience required. 10+ years of

professional software engineering experience - 3+ years leading or technically

mentoring engineering teams - Deep expertise in AI/ML systems: - LLM

orchestration, prompt engineering, chain-of-thought reasoning - RAG

architectures: chunking, embedding, retrieval, re-ranking, context assembly -

Agentic patterns: ReAct, tool-use, planning loops, multi-agent coordination -

Vector databases and embedding models (OpenAI embeddings, sentence-transformers,

FAISS, Pinecone, Weaviate, or similar) - Strong Python (3.11+): FastAPI,

async/await, Poetry, Pydantic, pytest - Solid Java experience: Java 21, Spring

Boot 3.x, microservice architecture - Production AI delivery: not just

prototypes -- systems handling real workloads with observability, error

recovery, and audit trails - Document intelligence: OCR pipelines, NLP,

structured extraction from unstructured text - Testing & evaluation:

golden-truth validation, retrieval metrics (MRR, NDCG), extraction F1 scores,

agent success rates - Enterprise architecture: API design, circuit breakers,

caching, event-driven patterns

Preferred Qualifications

• Experience building custom agent frameworks (not just using LangChain/CrewAI
• out-of-the-box) - Knowledge of graph-based retrieval -- knowledge graphs, graph
• RAG, entity-relationship extraction - Experience with code AI: AI-assisted
• development tools, code generation pipelines, automated refactoring -
• Familiarity with model fine-tuning, LoRA/QLoRA, or RLHF techniques - Exposure to
• evaluation-driven development -- automated prompt regression testing, A/B
• testing of retrieval strategies - Angular/TypeScript experience for full-stack
• visibility - Capital markets or financial services domain knowledge -
• Familiarity with enterprise AI governance: content policies, PII handling, data
• residency
• Technology Stack
• AI/Agentic- LLM orchestration, multi-agent systems, ReAct patterns, tool-use,
• autonomous pipelines
• RAG & Vectors- Embedding models, vector stores, hybrid search, re-ranking, chunk
• optimization
• LLM- Azure OpenAI, GPT-4o, enterprise model gateways, prompt versioning
• Python- Python 3.12/3.13, FastAPI, Poetry, Pydantic, async pipelines
• Java- Java 21, Spring Boot 3.x, Maven, Resilience4j, Hazelcast
• Frontend- Angular 19, TypeScript, D3.js, ECharts
• Database- Oracle, PostgreSQL, vector databases
• Infrastructure- Docker, GitLab CI/CD, Artifactory
• Observability- Agent traces, token tracking, retrieval quality metrics, audit
• pipelines

Our Benefits

and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs

rooted in a strong culture of excellence and our pay-for-performance philosophy.

We provide access to flexible global resources and tools for your life’s

journey. Focus on your health, foster your personal resilience, and reach your

financial goals as a valued member of our team, along with generous paid leaves,

including paid volunteer time, that can support you and your family through

moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer -

Underrepresented racial and ethnic groups/Females/Individuals with

Disabilities/Protected Veterans.

This position is at-will and the Company reserves the right to modify base

salary (as well as any other discretionary payment or compensation) at any time,

including for reasons related to individual performance, change in geographic

location, Company or individual department/team performance, and market factors.

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, 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.

At BNY, our culture speaks for itself, check out the latest BNY news at BNY

Newsroom [https://www.bny.com/corporate/global/en/about-us/newsroom.html] & BNY

LinkedIn [https://www.linkedin.com/company/bnyglobal/posts/? feedView=all]

Here’s a few of our recent awards:

* America’s Most Innovative Companies, Fortune, 2025

* World’s Most Admired Companies, Fortune 2025

* “Most Just Companies”, Just Capital and CNBC, 2025

Our Benefits

and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs

rooted in a strong culture of excellence and our pay-for-performance philosophy.

We provide access to flexible global resources and tools for your life’s

journey. Focus on your health, foster your personal resilience, and reach your

financial goals as a valued member of our team, along with generous paid leaves,

including paid volunteer time, that can support you and your family through

moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer -

Underrepresented racial and ethnic groups/Females/Individuals with

Disabilities/Protected Veterans.

BNY assesses market data to ensure a competitive compensation package for our

employees. The expected base salary for this position when employment commences

can be found in the Job Info section at the bottom of the posting.

Base salary offered may vary depending on multiple individualized factors,

including market location, job-related knowledge, skills, and experience. Base

salary is only part of the total rewards package, which may include eligibility

for an annual discretionary incentive award. Subject to the terms and conditions

of the applicable plans then in effect, eligible employees may enroll in a

401(k) plan as well as participate in Company-sponsored medical, dental, vision,

and basic life insurance plans for the employee and the employee’s eligible

dependents. Eligible employees also may receive other benefits (including

various paid time off benefits, such as vacation and sick time), dependent on

the position offered. Details of participation in these benefit plans will be

provided if an employee receives an offer of employment.

If hired, the employee will be in an “at will” position and the Company reserves

the right to modify base salary (as well as any other discretionary payments or

compensation programs) at any time, including for reasons related to individual

performance, Company or individual department/team performance, and market

factors.