Enterprise AI Architect in Piscataway

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., n \n

• Strategy & Advisory: Define and evolve the enterprise AI roadmap, providing executive-level guidance on AI investments, platform architecture, and high-impact use cases. \n

• 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. \n

• Enterprise & SAP Integration: Design secure integration patterns connecting AI agents to SAP S/4HANA using OData, BAPIs, and REST APIs. \n

• Security & Governance: Define IAM, RBAC, service accounts, and enterprise AI security architecture. Implement auditability, human-in-the-loop approval workflows, and responsible AI guardrails. \n

• Delivery & Operations: Establish observability, monitoring, logging, and resiliency standards. Oversee SIT/UAT readiness, deployment governance, and engineering architecture reviews. \n

• 12+ years of total IT experience, with 6+ years in Enterprise/Cloud Solution Architecture. \n

• 4+ years of experience in GenAI or Enterprise AI solution architecture. \n

• 3+ years of hands-on experience with Google Cloud Platform (GCP) and Vertex AI. \n

• 2+ years of experience designing and delivering Agentic AI/LLM solutions, including multi-agent orchestration and tool/API calling. \n

• 3+ years of experience with SAP S/4HANA integration architecture (OData, BAPI, API patterns). \n

• 5+ years of experience in Python and AI application architecture. \n

• 5+ years in REST APIs and Enterprise Integration Architecture. \n

• 4+ years in Security, IAM, RBAC, and enterprise governance frameworks. \n

• 2+ years implementing Human-in-the-Loop approval workflows and AI guardrails. \n

• 3+ years in production AI architecture (logging, monitoring, resiliency). \n

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI, or related field. \n, * Web application command-center architecture and CI/CD deployment pipelines (3+ years).