Principal Forward Deployed Architect, GCP

Job not on LinkedIn

🔥 9 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🏛️ Architect

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AuxoAI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2022

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

Artificial Intelligence • SaaS • B2B

AuxoAI is an enterprise-focused AI company that builds platform and productized AI solutions for go-to-market, sales acceleration, market simulation, and data modernization. Its offerings include AI Core (platform), Echo for market simulation & intelligence, Kimavi for sales acceleration, Damia, and solution suites such as DataNext for data modernization, AINext for custom AI builds, and MarketNext for GTM acceleration. Headquartered in the San Francisco Bay Area with offices in India, AuxoAI targets business customers with SaaS-style AI products and professional services.

📋 Description

• 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