Enterprise AI Architect in Piscataway

Energy Jobline ZR; Piscataway Township (NJ); Remote; USD 140,000 - 210,000; Full time

Job summary

Energy Jobline ZR is seeking an Enterprise AI Architect to lead the client’s AI roadmap and platform strategy. You will guide Google Cloud and Vertex AI adoption, design scalable architecture, and drive secure, governed AI initiatives across enterprise functions.

The role emphasizes multi-agent orchestration, production-ready frameworks, and integration with SAP S/4HANA, with a strong focus on security, observability, and governance.

Qualifications

• 12+ years IT experience with 6+ years in Enterprise/Cloud Solution Architecture.
• 4+ years in GenAI or Enterprise AI solution architecture.
• 3+ years with 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 Security/IAM/RBAC/governance.
• 2+ years Human-in-the-Loop approval workflows and AI guardrails.
• 3+ years production AI architecture (logging/monitoring).
• Bachelor’s or Master’s degree in CS/Engineering/Data Science/AI or related field.

Responsibilities

• Define and evolve the enterprise AI roadmap and platform architecture.
• Design enterprise-scale Agentic AI references on GCP/Vertex AI.
• Create secure SAP integration patterns with S/4HANA using OData/BAPI/REST.
• Define IAM, RBAC, and governance for enterprise AI platforms.
• Establish observability, monitoring, and deployment governance for AI deployments.

Skills

Enterprise architecture

GenAI

Multi-agent orchestration

Cloud security governance

API-based integration

Education

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

Tools

GCP/Vertex AI

SAP S/4HANA integration

OData/BAPI/REST APIs

IAM/RBAC security

Job description

Job Description

Job Title: Enterprise AI Architect

Location: Piscataway, NJ (Remote)

Employment Type: Full-Time / Direct-Hire / FTE

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.

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.