AI Data Engineer (Data & Analytics)
Data and Analytics at COMPLY:
COMPLY is the world’s leading aggregator of financial and regulatory data to support compliance. Our mission is to help financial institutions meet their regulatory obligations with confidence, clarity, and speed. We ingest, process, and enrich vast volumes of complex, high-variance data from hundreds of brokers, data providers and other sources of information across the US and beyond. The scale, diversity, and importance of this data creates unique technical challenges and opportunities for innovative engineers.
The COMPLY Data Platform is a strategic initiative at the heart of this mission. We are building a modern, cloud- native semantic layer from the ground up — using JSON-LD as our semantic language — to power AI-driven insights, regulatory analytics, and next-generation data products.
Our AI Data Engineers work hand-in-hand with the data engineers, architects, and ontologist to translate semantic models into production-grade knowledge graphs, embedding pipelines,
and RAG architectures that make Comply’s data genuinely AI-ready.
The Role:
We are looking for an AI Data Engineer to implement and operationalize Comply’s semantic layer — turning the ontological models defined by our ontologist and architects into working knowledge graphs, vector search infrastructure, and LLM-powered pipelines. This is a hands-on engineering role at the intersection of knowledge representation, AI infrastructure, and data platform engineering. You will own the delivery of semantic layer components, collaborate closely with application and data engineering teams, and ensure that AI-ready data products are reliable, performant, and adopted in practice. You will report into the Data and Analytics organization as part of a current team being created to enable future data capabilities in relation to our AI ambitions.
Key Responsibilities:
Semantic Layer Implementation
Implement JSON-LD-based semantic models designed by the
📌 AI Data Engineer (Kochi)
🏢 COMPLY
📍 Kochi
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