GCP Vertex AI Enterprise Architect

Aroha Technologies, Inc; United States; Remote; USD 150.000 - 210.000; Vollzeit

Zusammenfassung

Aroha Technologies, Inc. is seeking an experienced GCP Vertex AI Enterprise Architect to lead enterprise AI strategy, architecture, and implementation using Google Cloud and Vertex AI.

The ideal candidate will drive Agentic AI, GenAI, and multi-agent solutions with SAP S/4HANA integration, ensuring secure, scalable, and production-ready AI workflows. Responsibilities include defining strategy, architecture standards, and governance, mentoring teams, and guiding executive stakeholders through

Qualifikationen

• 12+ years of IT experience.

Aufgaben

• Define enterprise AI strategy, roadmap, and architecture standards.
• Design Agentic AI, GenAI, LLM, and multi-agent solutions using Google Cloud and Vertex AI.
• Integrate AI agents with SAP S/4HANA using REST APIs, OData, and BAPIs.
• Architect AI workflows, tool calling, and enterprise process automation.
• Establish AI security, IAM, RBAC, governance, guardrails, and human approval workflows.
• Define production standards for monitoring, logging, resiliency, and exception handling.
• Advise executive stakeholders, lead architecture reviews, and mentor engineering teams.

Kenntnisse

GCP Vertex AI

Agentic AI

GenAI

LLM

Multi-agent systems

Python

REST API

IAM & security

Executive communication

Tools

SAP S/4HANA

OData

BAPI

APIs

Jobbeschreibung

Role:

GCP Vertex AI Enterprise Architect

Location:

Fully Remote

Employment Type:

FTE Preferred / Contract

Job Summary

We are seeking an experienced GCP Vertex AI Enterprise Architect to lead enterprise AI strategy, architecture, and implementation using Google Cloud and Vertex AI. The ideal candidate will have strong expertise in Agentic AI, GenAI, multi-agent systems, and SAP S/4HANA integration, with a focus on building secure, scalable, governed, and production-ready AI solutions.

Key Responsibilities

• Define enterprise AI strategy, roadmap, and architecture standards.
• Design Agentic AI, GenAI, LLM, and multi-agent solutions using Google Cloud and Vertex AI.
• Integrate AI agents with SAP S/4HANA using REST APIs, OData, and BAPIs.
• Architect AI workflows, tool calling, and enterprise process automation.
• Establish AI security, IAM, RBAC, governance, guardrails, and human approval workflows.
• Define production standards for monitoring, logging, resiliency, and exception handling.
• Advise executive stakeholders, lead architecture reviews, and mentor engineering teams.

Required Qualifications

• 12+ years of overall IT experience.
• 6+ years in enterprise/cloud solution architecture.
• 4+ years in AI/ML, GenAI, or Agentic AI solution architecture.
• 3+ years of hands-on GCP and Vertex AI experience.
• 3+ years of SAP S/4HANA integration architecture, including OData, BAPI, and APIs.
• 5+ years of Python and REST API/enterprise integration experience.
• 2+ years designing agent orchestration, tool calling, and human-in-the-loop workflows.
• Strong expertise in cloud security, IAM, access controls, AI governance, and production AI architecture.
• Excellent executive communication, stakeholder management, and technical leadership skills.

Good to Have

• SAP Finance or month-end close process knowledge.
• Google Chat notifications and approval workflow integration.
• CI/CD, cloud deployment, and enterprise production-readiness experience.
• Google Cloud, Vertex AI, AI/ML, or security certifications.

Ideal Candidate

An enterprise architect who combines deep GCP/Vertex AI expertise with Agentic AI architecture, SAP S/4HANA integration, and enterprise-grade security and governance.