Enterprise AI Architect

Lorven Technologies Inc.; Piscataway Township (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

Lorven Technologies Inc. in Piscataway, NJ seeks an Enterprise AI Architect to lead the AI roadmap and design scalable GenAI architectures on Google Cloud Vertex AI. You will define governance, security, and integration standards for enterprise SAP S/4HANA connections and multi-agent workflows.

The role requires deep expertise in enterprise AI, cloud architecture, and strong executive communication. On-site full-time position with cross-functional leadership responsibilities.

Qualifications

• 12+ years IT experience with 6+ years in Enterprise AI/Cloud architecture and design.
• 4+ years in Agentic AI / GenAI initiatives and architecture.
• 3+ years with GCP Vertex AI and related tools.
• 6+ years in enterprise AI/Cloud architecture and solution design.
• 2+ years delivering Agentic AI / LLM-based solutions.
• 3+ years SAP S/4HANA integration architecture and APIs.
• 5+ years Python & AI application architecture.
• 5+ years REST APIs and enterprise integration.
• 4+ years security, IAM, RBAC and governance.
• Bachelor's or master's in CS, Eng, IT, Data Science, AI, or related field.

Responsibilities

• Define and evolve the Customer's Enterprise AI roadmap with executive-level guidance.
• Design enterprise AI and Gen AI architectures on Google Cloud Vertex AI.
• Architect SAP S/4HANA integrations using APIs, OData and BAPI standards.
• Establish standards for LLM usage, grounding, orchestration, and governance.
• Define observability, monitoring, logging, and deployment governance; mentor teams.

Skills

12+ years IT experience

6+ years in Enterprise AI/Cloud Arch

Agentic AI / GenAI initiatives

GCP / Vertex AI

2+ years Agentic AI/LLM solutions

SAP S/4HANA integration

Python & AI architecture

REST APIs / Enterprise Integration

Security, IAM, RBAC

Production AI architecture & observab.

Bachelor's/Master's in CS/Eng/IT/Data

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Google Cloud Platform

Vertex AI

SAP S/4HANA

OData/API patterns

Python

Job description

please Find the New Opportunity:Enterprise AI Architect-Piscataway, NJ-Full-Time

Job Title: Enterprise AI Architect

Location: Piscataway, NJ

Position: Full-Time

Required Skills:

• 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

Secondary Skills / Good to have

• 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

Job / Role Description

• 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

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;