Platform Engineering Lead, VP

What you'll do

• Lead the design, development, and deployment of solutions for document processing, intelligent agents, and automation frameworks.
• Translate business needs into data-driven workflows using modern orchestration tools and distributed systems.
• Define and evolve data architecture patterns for fund accounting, custody, and reference data domains.
• Establish scalable data models, integration standards, and quality controls for regulatory reporting and client delivery.
• Build reusable frameworks, evaluation pipelines, and scalable components to accelerate enterprise adoption.
• Drive architecture decisions that balance domain expertise, data governance, performance, security, and platform reuse.
• Promote responsible technology practices including security, compliance, and explainability across all deployments.
• Model complex investment data concepts such as NAV, positions, transactions, and corporate actions.

What we're looking for

• Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, or a related field.
• At least 12 years of experience in IT delivery.
• At least 3 years of hands-on experience in AI/ML and data engineering.
• Strong hands-on expertise in Python, Apache Spark, PySpark, and Databricks for large-scale data processing and AI model development.
• Proven ability to design, deploy, and evaluate machine learning and generative AI models using platforms like OpenAI, Hugging Face, and Azure OpenAI.
• Experience with orchestration tools like LangChain and familiarity with distributed systems and API integration.
• Deep understanding of fund accounting, custody, and reference data domains with strong data modeling skills.
• Experience designing data lineage, quality, reconciliation, and governance controls for regulated financial services platforms.