Principal Forward Deployed Architect, GCP
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Job Description
Principal Architect owning Gemini Enterprise agent ecosystems on Google Cloud for enterprise clients. Designing GenAI platforms, context graphs, governance, and production adoption.
Responsibilities:
- Own the target architecture across the GCP GenAI platform foundation, GEAP agent landscape, context-graph/data foundation, and enterprise adoption
- Sequence delivery across all four architecture layers
- Set reference patterns for agent construction, runtime, isolation, and governance
- Design the context-graph foundation using BigQuery, BigQuery graph (GQL) and/or Spanner Graph
- Define grounding/RAG strategy, including entity resolution, semantic modelling, and retrieval over Vertex AI Vector Search
- Identify and resolve cross-layer architectural decisions before delivery commitments
- Arbitrate cross-track trade-offs among Forward Deployed Engineers with written rationale
- Review agent designs and evaluation results; interrogate trajectory and latency behavior; participate in incident reviews; perform selective hands-on work
- Represent AuxoAI in client security, compliance, architecture, model-governance, and data-governance review boards
- Advise client executives on trade-offs, sequencing, delivery risk, and unsafe-to-automate use cases
- Own technical scope, estimates, and defense of proposals and statements of work
- Report delivery risk, remediation plans, and consumption-cost exposure to Auxo AI leadership
- Enable client platform, data, and security leaders to operate and extend the agent landscape and context graph
- Develop Forward Deployed Engineers working on the account
- Contribute GEAP reference architectures, context-graph patterns, estimation models, and governance blueprints
- Own long-term business outcomes, ensuring the ecosystem remains grounded, governed, evaluated, adopted, and effective
Requirements:
- Master's degree in Computer Science, Engineering, Information Systems or a related field, or equivalent practical experience
- 12+ years in engineering, architecture or technical delivery leadership, including senior technical ownership of production systems
- Expert depth in at least two of: the agent / GenAI platform layer, the context-graph and semantic-modelling layer, the cloud data-platform layer, and the cloud runtime / governance layer, with working competence across the rest, demonstrable through an architecture walkthrough
- Delivered at least one production GenAI or agent system on GCP (Vertex AI / Agent Platform) or a directly comparable cloud, including grounding over an enterprise data or knowledge foundation
- End-to-end ownership of technical design for at least two client engagements or major cross-team programs, from discovery through production
- Experience as the single senior technical counterpart to a client's executive team on an engagement of material size
- Hands-on depth in BigQuery and at least one graph or semantic store (Spanner Graph, BigQuery graph, Neo4j or equivalent)
- Delivery inside at least one regulated environment, with the ability to describe a design decision the regulation forced
- Experience owning the technical scope, estimate and defence of a proposal or statement of work
- Preferred: Hands-on with the Gemini Enterprise Agent Platform specifically — ADK, Agent Garden, Model Garden, Agent Engine — or a rapid, demonstrable path to it from adjacent agent frameworks
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