Job Description68225 Director, AI / Machine Learning Data EngineerWe9re seeking a future team member for the role of
Director, AI / Machine Learning Data Engineer to join our Engineering AI Hub team.
This role is located in
New York NY, Pittsburgh PA or
Lake Mary, FLIn this role, you9ll make an impact in the following ways:- Managing multiple, complex development projects, often global in scope
- Defining resource requirements and allocations, monitoring and improving quality, and ensuring best practice development techniques
- Providing subject matter expertise to teams, as needed
- Developing group-wide business plans and participating in firm-wide initiatives as per the direction from management
- Leading identification of risks and proposing and implementing mitigation plans
- Handling escalations and acting as an advocate for change management, encouraging innovation and creativity in technology solutions
To be successful in this role, we9re seeking the following:- Bachelor9s degree in computer science engineering or a related discipline, or equivalent work experience required; advanced degree is beneficial
- 12+ years of experience in software development required; experience in the securities or financial services industry is a plus
- At least 6-8 years of experience managing development project teams
- Experience in the securities or financial services industry is a plus
- Strong AI/ML & GenAI Engineering: Hands-on experience building and productionizing AI/ML and Generative AI solutions. Strong understanding of LLMs, RAG, embeddings, vector databases, agentic AI and AI orchestration patterns. Experience integrating enterprise data and APIs into AI applications. Understanding of model evaluation, monitoring, responsible AI, security and governance. Strong Data Engineering Foundation. Excellent hands-on skills in Python, SQL and Spark/PySpark. Experience designing scalable batch and real-time/streaming data pipelines. Strong knowledge of data modeling, data quality, metadata, lineage and governance. Experience with modern platforms such as Snowflake and enterprise data lake/lakehouse architectures.
- AI Platform Engineering: Ability to contribute directly to the engineering and evolution of BNY9s AI Platform. Experience developing reusable AI services, APIs, frameworks and platform capabilities, rather than building only individual AI use cases. Strong understanding of Docker, Kubernetes, CI/CD and cloud-native deployment for AI/ML workloads. Experience designing for scalability, resiliency, observability, security and cost efficiency.
- Proven experience leading AI/ML and data engineering teams while remaining technically engaged. Ability to define technical direction, architecture and engineering standards. Experience mentoring senior engineers and influencing architects and engineering leaders. Strong stakeholder management and ability to translate AI/data capabilities into measurable business outcomes. Demonstrated end-to-end ownership, from architecture and development through production deployment and operational support.
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 life9s 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 assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $127,000 and $228,000 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.
