Enterprise AI Architect
Job Description
please Find the New Opportunity:Enterprise AI Architect-Piscataway, NJ-Full-Time
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Job Title: Enterprise AI Architect
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Location: Piscataway, NJ
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Position: Full-Time
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Required Skills:
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- 12+ years overall IT experience and 6+ years in Enterprise/AI/Cloud Solution Architecture & Design
- Agentic AI / GenAI or Enterprise AI initiatives / Solution Architecture: 4+ years
- Google Cloud Platform (GCP) & Vertex AI: 3+ years
- Enterprise AI/Cloud Architecture & Solution Design: 6+ years
- 2+ years in designing and delivering Agentic AI/LLM-based solutions
- SAP S/4HANA Integration Architecture, including OData/BAPI/API patterns: 3+ years
- Python & AI application architecture: 5+ years
- Agent orchestration, tool/API calling & workflow automation: 2+ years
- REST APIs / Enterprise Integration Architecture: 5+ years
- Security, IAM, service accounts, RBAC & enterprise governance: 4+ years
- Human-in-the-Loop, approval workflows, auditability & AI guardrails: 2+ years
- Production AI architecture including logging, monitoring, exception handling & resiliency: 3+ years
- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, Data Science, AI, or related field
- Google Cloud, Vertex AI, AI/ML, Cloud Architecture, or Security certifications preferred
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Secondary Skills / Good to have
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- SAP Finance / month-end close process understanding - 2 years. Google Chat / notification and approval integration: 1+ year. Web application / command-center architecture: 3 years. CI/CD and cloud deployment architecture: 3 years. SIT/UAT and enterprise production-readiness planning: 4 years. Agentic AI risk, governance, and control frameworks: 2 years
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Job / Role Description
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- Strategy & Advisory - Define and evolve the Customer's Enterprise AI roadmap; Provide executive-level recommendations on AI investments and platform choices. Identify and prioritize high-value AI and Agentic AI use cases
- AI & Platform Architecture - Design enterprise-scale Agentic AI and Gen AI architectures; Define reference architectures on Google Cloud and Vertex AI. Establish standards for LLM usage, grounding, orchestration, and governance; Architect multi-agent workflows and autonomous decision frameworks
- SAP & Enterprise Integration - Design integrations with SAP S/4HANA using APIs, OData, and BAPIs; Enable AI agents to securely interact with enterprise applications; Define integration, data access, and workflow automation standards
- Security & Governance - Define AI security architecture, IAM, RBAC, and access controls; Establish auditability, compliance, human approvals, and AI guardrails; Implement responsible AI governance and risk mitigation frameworks
- Delivery & Operations - Define observability, monitoring, logging, and resiliency standards; Drive production readiness reviews, SIT/UAT support, and deployment governance; Mentor engineering teams and conduct architecture reviews
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Cross-functional collaboration and leadership; Mentoring and team enablement capabilities; Ability to simplify complex technical concepts; Executive communication and presentation skills; Strategic thinking and business outcome orientation; Consultative stakeholder management; Strong problem-solving and analytical abilities; Influencing and decision-making without direct authority;