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# GCP Vertex AI Enterprise Architect

- **Company:** McClure Engineering Co.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Cloud Engineering, Cyber Security, Continuous Integration, Google Talk, Identity and Access Management, Python (Programming Language), Open Data Protocol, Role-Based Access Control, SAP (Applications), Web Applications, Enterprise Application Integration, Data Logging, Google Cloud, Sap Finance, Large Language Models, Multi-Agent Systems, Google Vertex AI, Agentic-AI, AI Platforms, Information Technology, SAP S/4HANA, Enterprise Integration, Artificial Intelligence Governance, Google Gemini, Restful APIs, Human in the Loop
- **Published:** October 26, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f393a09dfecd5de2

## About the Role

* 12+ years of overall IT experience.
 * 6+ years in enterprise/cloud architecture and solution design.
 * 4+ years in AI/ML, GenAI, or enterprise AI initiatives.
 * 3+ years of hands-on GCP and Vertex AI experience.
 * 4+ years in Agentic AI/GenAI solution architecture.
 * 3+ years designing SAP S/4HANA integration architectures using OData, BAPIs, or APIs.
 * 5+ years of Python and AI application architecture experience.
 * 2+ years in agent orchestration, tool/API calling, and workflow automation.
 * 5+ years in REST APIs and enterprise integration architecture.
 * 4+ years in security architecture, IAM, service accounts, RBAC, and enterprise governance.
 * Experience implementing human-in-the-loop workflows, AI guardrails, and auditability.
 * Experience designing production AI architectures with monitoring, logging, exception handling, and resiliency.
 * Strong executive communication, strategic thinking, stakeholder management, and technical leadership skills.

Preferred Skills

 * SAP Finance and month-end close process knowledge.
 * Google Chat notification and approval integrations.
 * Web application or command-center architecture.
 * CI/CD and cloud deployment architecture.
 * SIT/UAT and enterprise production-readiness planning.
 * Agentic AI risk, governance, and control frameworks.
 * Relevant Google Cloud, Vertex AI, AI/ML, cloud architecture, or security certifications., * Google Cloud Platform (GCP) and Vertex AI: 3 years (Required)
 * SAP S/4HANA integrations: 3 years (Required)

## Description

* Define the enterprise AI roadmap and advise leadership on AI platform strategy and investments.
 * Design enterprise-scale GenAI and Agentic AI architectures using Google Cloud, Vertex AI, and Gemini.
 * Develop reference architectures for LLM orchestration, grounding, multi-agent workflows, and tool/API calling.
 * Architect secure integrations with SAP S/4HANA using OData, BAPIs, REST APIs, and enterprise integration patterns.
 * Establish AI governance, IAM, RBAC, access controls, responsible AI practices, auditability, and human-in-the-loop approval workflows.
 * Define production-readiness standards for monitoring, logging, observability, exception handling, resiliency, and deployment governance.
 * Lead architecture reviews, support SIT/UAT and production readiness, and mentor engineering teams.
 * Partner with executive stakeholders and cross-functional teams to prioritize high-value AI use cases and drive adoption., * Establish an enterprise AI roadmap and Vertex AI reference architecture.
 * Implement AI governance and security frameworks.
 * Define reusable Agentic AI architecture patterns and SAP integration standards.
 * Move multiple AI use cases from concept into production.
 * Improve delivery speed, architecture reuse, platform adoption, and risk management.