Diamond Layer Tech Lead

Master Coordinator, domain agents, semantic retrieval, knowledge graphs, data foundations, and agent quality

Advanced Python; agent services; multi-step workflows; orchestration state; tool invocation; fallback handling; reusable agent patterns

Standard agent and tool contracts; agent registration; deterministic and LLM-assisted routing; multi-domain execution; model and platform adapters

Advanced SQL and Big Query; source discovery; data-gap analysis; data dictionaries; business-key validation; reconciliation; quality, freshness, lineage, and source-of-truth assessment

Deep RAG expertise; retrieval and reranking; grounding; prompt/context assembly; citation support; hallucination reduction; cross-domain synthesis

RDF, SPARQL, ontology modeling, SHACL, Stardog, virtual graphs, relational-to-semantic mappings, semantic versioning, and graph promotion

GCP, GKE, Big Query, GCS, agent-runtime deployment, semantic-platform connectivity, environment configuration, and secure service identities

Agent and knowledge-graph CI/CD; automated evaluation gates; versioned prompts, tools, mappings, ontologies, queries, and deployment definitions

Agent evaluation for accuracy, relevance, groundedness, completeness, hallucination, latency, and cost; benchmark scenarios and gold-answer datasets

End-to-end tracing across coordinator, agent, tool, semantic, and data layers;
Langfuse or equivalent LLM observability;
Grafana reporting and model comparisons

Identity-aware retrieval; least-privilege data access; cross-domain guardrails; trace and prompt-data protection; source attribution and complete auditability

Own orchestration, semantic, and data-foundation design; remain hands-on; create reusable patterns; mentor engineers; drive evaluation and production readiness