Head of AI Garage, Wealth & Investment Management Engineering
About The Position
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. 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:
Requirements
- 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; LangChain/LangGraph, DSPy, LlamaIndex), vector embeddings and retrieval (FAISS, Pinecone, Weaviate, pgvector, OpenSearch), 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.
Responsibilities
- 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.
Benefits
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
Number of Employees
1-10 employees
