AI Solutions Architect — Vertex AI & Cloud Workflows

Zoolatech

Central, Northern (LA, KY)

Hybrid

USD 120,000 - 180,000

Full time

7 days ago

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Job summary

Zoolatech is seeking a technically focused AI engineering and solution architecture expert to lead a Google Cloud–based proof of concept in veterinary technology context. You will review an existing MCP gateway, design a Vertex AI–based architecture, and build working prototypes that connect to internal data, APIs, and enterprise systems.

You will evaluate trade-offs, implement security and observability controls, and document architecture, risks, and recommendations.

Qualifications

Hands-on experience with Google Cloud Platform and Vertex AI.
Experience building AI agents and tool-based workflows.
Proficiency in Python or TypeScript.
Knowledge of MCP or similar protocols for tool connections.
Ability to design architectures and evaluate trade-offs.
Strong written and spoken English.

Responsibilities

Review the existing AI/MCP solution and understand its primary capabilities.
Gather and document technical and non-functional requirements.
Design a comparable architecture using Vertex AI and Google Cloud services.
Build a working proof of concept for selected agentic workflows.
Develop AI agents that connect to internal data, APIs, and enterprise systems.
Implement or integrate MCP servers and tool-calling workflows.
Configure authentication, authorization, secrets management, and data protection.
Add logging, tracing, monitoring, model evaluation, and cost tracking.
Identify capabilities Vertex AI cannot provide natively and recommend supporting services.
Document architecture, findings, risks, and recommendations; present handover.