Principal Forward Deployed Architect, GCP

Role Summary 

You are the person a client trusts to turn an ambitious Gemini Enterprise vision into a business outcome that lasts. As Principal Forward Deployed Architect on an account, you own the result -- the value the client set out to create — and with it the technical whole that produces that value: the GenAI platform foundation on Google Cloud, the agent landscape built on the Gemini Enterprise Agent Platform (GEAP), the context-graph and data foundation those agents reason over, and the enterprise rollout into the Gemini Enterprise app. 

Where specialist engineers each own an individual agent, MCP server or data pipeline, you own the whole — deep in the agent platform and the context / data foundation, fluent enough across governance, runtime and adoption to design, sequence and defend the program end to end. You are the senior technical counterpart the client's executives call before they have decided what to build; more importantly, you are the reason they keep calling. You make Google Cloud's AI foundation deliver the outcomes. 

This role exists because standing up a production agent ecosystem on GEAP is not a single-layer problem — model choice, agents, grounding graph, governance perimeter and change management are load-bearing on one another — and because our largest clients will accept only one senior technical owner rather than several. 

Deployment Model 

Placed at one large Gemini Enterprise account, or holding technical ownership across two or three smaller concurrent engagements. You may direct AuxoAI delivery teams, including offshore and onshore Forward Deployed Engineers and client engineers, on the same program — you own the design coherence across it. Significant pre-sales involvement is expected: the GEAP target architecture, the GCP landing-zone approach, effort estimates, and the technical case in proposals for the practice's largest Gemini opportunities. 

Outcome Ownership 

You are accountable for the outcome, not the artifact. Long after Auxo AI rolls off, the client's agent ecosystem has to keep earning its place — grounded, governed, evaluated and adopted, still delivering the business result it was built for. When an agent delivered under your architecture regresses, leaks data, breaches a policy or loses the users it was meant to serve, you own the explanation to the client and the plan to make it right. 

Minimum Qualifications 

• 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 Qualifications 

• 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 (