Enterprise AI Architect

BrezQ; Piscataway Township (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

BrezQ is seeking an Enterprise AI Architect to lead the company's AI roadmap and unified platform strategy. You will advise on Google Cloud and Vertex AI adoption, defining scalable, secure architecture patterns across enterprise functions and driving high-value AI use cases.

You will design Agentic AI and GenAI reference architectures on GCP/Vertex AI, establish standards for LLM usage, and govern integration with SAP S/4HANA.

Qualifications

• 12+ years of IT experience, 6+ years in Enterprise/Cloud Solution Architecture.
• 4+ years in GenAI or Enterprise AI solution architecture.
• 3+ years with Google Cloud Platform (GCP) and Vertex AI.
• 2+ years designing Agentic AI/LLM solutions with multi-agent orchestration.
• 3+ years SAP S/4HANA integration architecture (OData, BAPI, API patterns).
• 5+ years Python and AI application architecture.
• 5+ years REST APIs and Enterprise Integration Architecture.
• 4+ years in Security, IAM, RBAC, and governance frameworks.
• 2+ years Human-in-the-Loop approval workflows in AI.
• 3+ years production AI architecture (logging, monitoring, resiliency).
• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field.

Responsibilities

• Define and evolve the enterprise AI roadmap and governance.
• Design enterprise-scale Agentic AI and GenAI architectures on GCP/Vertex AI.
• Design secure SAP S/4HANA integration using OData, BAPI, and REST APIs.
• Define IAM, RBAC, and security architecture with governance and guardrails.
• Establish observability, monitoring, logging, and resiliency; oversee deployment governance.

Skills

GCP / Vertex AI

Agentic AI / LLM

SAP S/4HANA integration

Python

REST APIs / Enterprise Integration

Security IAM / RBAC

Multi-agent orchestration

Education

Bachelor's or Master's in CS/Engineering/Data Science/AI

Tools

SAP S/4HANA

OData

BAPI

REST API Patterns

GCP

Vertex AI

Job description

About the Role

We are seeking an Enterprise AI Architect to lead our client's Enterprise AI roadmap and unified platform strategy. In this high-impact leadership role, you will act as the primary advisor for Google Cloud and Vertex AI adoption, defining scalable, secure, and governed AI architecture patterns across enterprise business functions. You will drive high-value Agentic AI use cases, build production-ready frameworks, and establish integration standards with core systems like SAP S/4HANA.

Key Responsibilities

• Strategy & Advisory: Define and evolve the enterprise AI roadmap, providing executive-level guidance on AI investments, platform architecture, and high-impact use cases.
• AI & Platform Architecture: Design enterprise-scale Agentic AI and GenAI reference architectures on GCP and Vertex AI. Establish standards for LLM usage, grounding, multi-agent workflows, and orchestration.
• Enterprise & SAP Integration: Design secure integration patterns connecting AI agents to SAP S/4HANA using OData, BAPIs, and REST APIs.
• Security & Governance: Define IAM, RBAC, service accounts, and enterprise AI security architecture. Implement auditability, human-in-the-loop approval workflows, and responsible AI guardrails.
• Delivery & Operations: Establish observability, monitoring, logging, and resiliency standards. Oversee SIT/UAT readiness, deployment governance, and engineering architecture reviews.

Required Qualifications

• 12+ years of total IT experience, with 6+ years in Enterprise/Cloud Solution Architecture.
• 4+ years of experience in GenAI or Enterprise AI solution architecture.
• 3+ years of hands-on experience with Google Cloud Platform (GCP) and Vertex AI.
• 2+ years of experience designing and delivering Agentic AI/LLM solutions, including multi-agent orchestration and tool/API calling.
• 3+ years of experience with SAP S/4HANA integration architecture (OData, BAPI, API patterns).
• 5+ years of experience in Python and AI application architecture.
• 5+ years in REST APIs and Enterprise Integration Architecture.
• 4+ years in Security, IAM, RBAC, and enterprise governance frameworks.
• 2+ years implementing Human-in-the-Loop approval workflows and AI guardrails.
• 3+ years in production AI architecture (logging, monitoring, resiliency).
• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field.

Preferred Skills & Qualifications

• GCP, Vertex AI, Cloud Architecture, or Security certifications.
• Understanding of SAP Finance / month-end close processes (2+ years).
• Web application command-center architecture and CI/CD deployment pipelines (3+ years).
• Experience integrating Google Chat for approvals and notifications.