Director, AI / Machine Learning Data Engineer
About The Position
BNY is seeking a Director, AI / Machine Learning Data Engineer to join its Engineering AI Hub team. The role is located in New York, NY; Pittsburgh, PA; or Lake Mary, FL. The Director will manage complex, often global development projects; define resource needs and allocations; monitor and improve quality; and ensure best-practice development techniques. The role also provides subject matter expertise, develops group-wide business plans, participates in firm-wide initiatives, leads risk identification and mitigation, handles escalations, and advocates for change management and innovative technology solutions. The position combines technical leadership with hands-on AI/ML, generative AI, data engineering, and platform engineering. The successful candidate will help evolve BNY’s AI platform by developing reusable services, APIs, frameworks, and platform capabilities, while guiding architecture and engineering standards and supporting solutions from design through production operations. The expected base salary is $127,000–$228,000 per year at commencement of employment. The final base salary is determined individually based on factors including experience and market location. Total compensation may also include commissions, discretionary bonuses, incentive packages, and company-sponsored benefits.
Requirements
- Bachelor’s degree in computer science, engineering, or a related discipline, or equivalent work experience; an advanced degree is beneficial.
- 12 or more years of experience in software development.
- At least 6–8 years of experience managing development project teams.
- 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 hands-on skills in Python, SQL, and Spark/PySpark.
- Experience designing scalable batch and real-time or streaming data pipelines.
- Strong knowledge of data modeling, data quality, metadata, lineage, and governance.
- Experience with Snowflake and enterprise data lake/lakehouse architectures.
- Experience developing reusable AI services, APIs, frameworks, and platform capabilities.
- 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.
- Strong stakeholder management skills 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.
Nice To Haves
- Advanced degree.
- Experience in the securities or financial services industry.
Responsibilities
- Manage multiple complex development projects, often global in scope.
- Define resource requirements and allocations, monitor and improve quality, and ensure best-practice development techniques.
- Provide subject matter expertise to teams as needed.
- Develop group-wide business plans and participate in firm-wide initiatives as directed by management.
- Lead identification of risks and propose and implement mitigation plans.
- Handle escalations and advocate for change management, innovation, and creativity in technology solutions.
- Contribute to the engineering and evolution of BNY’s AI platform, including reusable AI services, APIs, frameworks, and platform capabilities.
- Define technical direction, architecture, and engineering standards; mentor senior engineers and influence architects and engineering leaders.
- Own work end to end, from architecture and development through production deployment and operational support.
- Translate AI and data capabilities into measurable business outcomes and manage stakeholders.
Benefits
- Competitive compensation, benefits, and wellbeing programs.
- Flexible global resources and tools.
- Paid leaves, including paid volunteer time.
- Potential commission earnings, discretionary bonuses, short- and long-term incentive packages, and company-sponsored benefit programs.
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What This Job Offers
Job Type
Full-time
Career Level
Director
