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채용BNY Mellon

Head of AI Garage, Wealth & Investment Management Engineering

BNY Mellon

Head of AI Garage, Wealth & Investment Management Engineering

BNY Mellon

New York, NY, United States; Jersey City, NJ, United States

·

On-site

·

Full-time

·

3w ago

필수 스킬

Python

Java

SQL

Spark

Scala

This is a pipeline requisition.

Head of AI Garage, Wealth & Investment Management Engineering

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 #Life AtBNY is all about. Join us and be part of something extraordinary.

We’re seeking a future team member for the role of Head of AI Garage, Wealth & Investment Management Engineering to join our Wealth & Investment Management Engineering team. This role is located in New York City / Jersey City

In this role, you’ll make an impact in the following ways:

  • Build and lead the AI Garage to accelerate, de-risk, and scale GenAI solutions across Wealth Services, Investment Management, and Wealth Management; develop a high-velocity pipeline of use cases aligned to business objectives with a transparent roadmap and OKRs.

  • Establish enterprise-grade data readiness for AI, semantic data foundations, and reusable GenAI platforms, including standards for data quality, lineage, provenance, privacy classifications, and data contracts; implement feature stores, prompt-context catalogs, and instrumentation for usage and drift.

  • Design and operate semantic data and knowledge graph capabilities and vector retrieval infrastructure; implement high-quality RAG pipelines, re-rankers, and citation grounding with robust embedding governance to improve factuality, explainability, and compliance.

  • Deliver end-to-end GenAI applications and LLMOps capabilities (experiment tracking, registries, evaluations, safety filters, prompt/version management); integrate securely with enterprise systems, ensuring scalability, observability, disaster recovery, and alignment with governance, risk, and compliance requirements.

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

  • Education requirements are not provided in the context.

  • 10+ years in data/AI engineering or applied ML, including 5+ years leading teams delivering production AI systems in regulated environments.

  • Proven delivery of enterprise-scale GenAI solutions (e.g., RAG, conversational assistants, document intelligence) with measurable business outcomes; deep experience with LLMs and orchestration (Gemini, Claude, OpenAI; Lang Chain/Lang Graph, DSPy, Llama Index), vector embeddings and retrieval (FAISS, Pinecone, Weaviate, pgvector, Open Search), knowledge graphs/semantics (GraphDB/Neo4j/Neptune; RDF/OWL, SHACL), and data engineering (Python/Java/Scala; Spark/Flink; SQL/NoSQL; data quality, lineage, metadata).

  • Expertise in cloud-native architecture (Kubernetes, microservices, API design, CI/CD, observability, secrets management), privacy/security and controls for financial services (PII handling, encryption, entitlements, model governance), and excellent communication skills to translate complex AI topics into clear business narratives and technical designs.

  • Demonstrated people leadership: ability to hire, develop, and lead cross-functional teams (applied scientists, data/graph engineers, LLM engineers, evaluators, product leads) while fostering a culture of craftsmanship, security-by-design, and measurable business impact.

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

BNY Newsroom

BNY LinkedIn

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 base salary for this position is expected to be between $136,500 and $300,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.

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.

BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $136,500 and $300,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.

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.

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BNY Mellon 소개

BNY Mellon

BNY Mellon is a global investment company and one of the world's oldest banks, providing investment management and investment services to institutions, corporations and high-net-worth individuals. The company serves as a custodian for assets and provides treasury services, fund administration and other financial services.

10,001+

직원 수

New York City

본사 위치

$40B

기업 가치

리뷰

4.0

31개 리뷰

워라밸

3.4

보상

4.8

문화

3.9

커리어

4.1

경영진

3.5

78%

친구에게 추천

장점

Prestigious brand and networking opportunities

Excellent compensation and bonus structure

Exposure to complex financial systems

단점

Work-life balance can be difficult

Legacy technology in some areas

High-pressure environment with strict deadlines

연봉 정보

28개 데이터

L2

L3

L4

L5

L6

M3

M4

M5

M6

L2 · Data Scientist L2

0개 리포트

$74,866

총 연봉

기본급

$29,946

주식

$37,433

보너스

$7,487

$52,406

$97,326

면접 경험

8개 면접

난이도

3.0

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 75%

부정 25%

면접 과정

1

Application Review

2

Online Assessment/Technical Screen

3

HR/Recruiter Screen

4

Technical Interview

5

Behavioral Interview

6

Final Round/Superday

자주 나오는 질문

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Culture Fit