Senior Data Engineer - AI

**Role Summary** Design and implement agentic AI infrastructure on GCP, building configurable data analyst agents with multi-agent orchestration, knowledge graphs, security, and observability at scale. **Key Responsibilities** - - Build multi-agent orchestration frameworks with memory and caching layers - Design and instrument knowledge graph architectures for agent reasoning - Develop conversational analytics using Gemini Enterprise, Google ADK, and MCP - Configure BigQuery Data Agents and address data quality/deep research issues - Implement end-to-end security and observability for production agents - Build ETL/ELT pipelines and analytics-ready datasets on GCP **Required Qualifications** **AI & Agents** - - Strong understanding of LLMs, agentic AI, multi-agent orchestration, and tool-calling concepts - Experience building with at least one LLM platform (Gemini, OpenAI, Anthropic, etc.) and exposure to modern agent frameworks - Familiarity with RAG architectures, agent memory systems, and prompt engineering through projects or self-directed learning - Strong foundation in software engineering that transfers well to agent systems development **Data Engineering** - - Advanced SQL and BigQuery expertise - Experience building ETL/ELT pipelines and designing semantic models - Knowledge of modern cloud data warehouse architectures **Software Development** - - Strong Python development skills - Experience with APIs, distributed systems, Docker **GCP & Operations** - - Working knowledge of GCP services (Compute, Storage, Data, ML/AI) - Understanding of cloud security best practices - Experience implementing observability and monitoring **Nice-to-Have** - - Vector databases, Vertex AI, or knowledge graph experience - Background in internal developer platforms or analytics infrastructure