
Posted 5 days ago
Principal Engineer, AI & Data Platform
BullishPrincipal Engineer, AI & Data Platform
Requirements
7+ years in data engineering or AI platform roles, Experience with graph databases and knowledge graphs, Expertise in conversational analytics and semantic layers, Strong GCP experience (BigQuery, Vertex AI), Experience with agentic AI systems and tool-use patterns, Knowledge of vector databases and hybrid retrieval
Skills
PythonGCPBigQueryNeo4jVertex AI
About the role
Responsibilities
- Design and own the enterprise knowledge layer, including governed semantic models, ontologies, and knowledge graph structures.
- Lead the strategy and delivery of natural-language interfaces and conversational analytics for business stakeholders.
- Architect the infrastructure for agentic data platforms, enabling AI agents to discover, reason over, and act on enterprise data.
- Drive adoption of advanced data infrastructure such as graph databases, knowledge bases, and hybrid query engines.
- Partner with domain stakeholders across trading, compliance, and market intelligence to ensure data platform utility.
- Establish evaluation frameworks to ensure the groundedness, factual consistency, and reliability of AI systems.
- Provide technical leadership through architectural direction, mentorship, and driving build-vs-buy decisions.
Requirements
- 7+ years of experience in data engineering, analytics, or AI platform roles.
- Proven experience building and operating enterprise-scale data platforms in production.
- Deep expertise in conversational analytics and building natural-language query systems over structured data.
- Hands-on experience with graph databases, knowledge graphs, or ontology-driven data architectures.
- Experience with agentic AI systems, including tool-use patterns and agent orchestration frameworks.
- Strong experience with GCP (BigQuery, Vertex AI, Dataplex/Knowledge Catalog).
- Proficiency in at least three of the following: Graph databases (Neo4j, BigQuery Graph), GraphRAG, Semantic layers (dbt, Looker), Vector databases (Pinecone, Qdrant), or MCP (Model Context Protocol).
- Strong engineering rigor with experience in CI/CD for data/ML pipelines and infrastructure-as-code.
Preferred Qualifications
- Experience in financial services, fintech, or cryptocurrency.
- Background in data mesh or domain-oriented data ownership models.
- Familiarity with Google Cloud’s Agentic Data Cloud capabilities.
- Experience with dbt for large-scale transformation and data modeling.
- Experience operating in compliance-sensitive or highly regulated environments.
About the Company
Bullish is an institutionally focused global digital asset platform providing market infrastructure and information services. Through its ecosystem, including the Bullish Exchange, CoinDesk Indices, CoinDesk Data, and CoinDesk Insights, the company delivers high-performance, regulated digital asset solutions to global institutions.
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Bullish · London
