Principal Forward Deployed Architect, GCP

Added
9 hours ago
Location
Type
Full time
Salary
Salary not provided

Related skills

bigquery gcp rag neo4j vertex ai

📋 Description

  • Own the target architecture across the GCP GenAI platform foundation, GEAP agent landscape
  • Define reference patterns for agent development, deployment, isolation, runtime environments, and
  • Design context-graph foundations using technologies such as BigQuery, BigQuery Graph (GQL), and
  • Develop grounding and RAG strategies connecting enterprise data and knowledge foundations to AI
  • Identify dependencies and cross-layer architectural decisions that could affect runtime, data
  • Arbitrate technical trade-offs across multiple engineering workstreams and document architectural

🎯 Requirements

  • Master’s degree in Computer Science, Engineering, Information Systems, or a related field, or
  • 12+ years of experience in engineering, architecture, or technical delivery leadership, including
  • Expert-level depth in at least two of the following areas: agent/GenAI platforms, context graphs
  • Working competence across the remaining architecture layers, demonstrated through an architecture
  • Experience delivering at least one production GenAI or agent system on GCP, Vertex AI, Agent
  • Experience implementing grounding over an enterprise data or knowledge foundation.

🎁 Benefits

  • Full-time remote position based in the United States.
  • Opportunity to lead large-scale enterprise GenAI and agent architecture initiatives.
  • Work with Google Cloud, Gemini Enterprise technologies, and modern AI infrastructure.
  • High level of technical ownership across architecture, delivery, governance, and adoption.
  • Direct exposure to executive stakeholders and complex enterprise transformation programs.
  • Opportunity to mentor experienced engineers and influence technical standards and reference
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