GCP Vertex AI Enterprise Architect

• 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.

• 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)