SAP AI Architect - Director

Principal SAP AI Architect – Director SAP ERP Operations, Agentic AI & Automation.

Location: New Jersey (Hybrid)

Type: FTE

Role Summary

We are looking for a hands-on AI Architect to lead the design, development, and industrialization of AI, Agentic AI, and Automation solutions across SAP ERP Platform Managed Services. The role requires a practitioner who has built and deployed production-grade AI solutions, agents, and automation frameworks for enterprise Platform operations (SAP preferred).

Key Responsibilities

• Design and implement AI, Agentic AI, and automation solutions for SAP ERP Operations, AMS, and Platform Services.

• Build and operate AI platform components including orchestration services, agent gateways, agent lifecycle management, knowledge layers, and AI observability.

• Develop AI-powered use cases for incident management, RCA, transport management, job scheduling, monitoring, compliance, and self-healing operations.

• Design and train domain-specific agents and copilots using SAP Joule, SAP AI Core, Knowledge Graphs, BlueVerse AI models, and enterprise AI platforms.

• Implement event-driven architectures, APIs, microservices, and agent integrations using Kafka, REST, gRPC, and MCP patterns.

• Build and maintain RAG/GraphRAG solutions leveraging vector databases, enterprise search, and knowledge graphs.

Required Qualifications

• 10+ years of experience in enterprise platforms, cloud engineering, ERP operations, managed services, or software engineering.

• 3+ years of hands-on experience designing and implementing GenAI, Agentic AI, or enterprise AI solutions in production.

• Strong experience with SAP Basis, SAP Operations, ERP Managed Services, AIOps, Service Management, or enterprise support environments.

• Hands-on experience with SAP AI technologies such as SAP Joule, SAP AI Core, SAP BTP, SAP Cloud ALM, SAP Knowledge Graph, or related SAP Business AI capabilities.

• Experience building agent-based solutions using frameworks such as LangGraph, CrewAI, MCP architectures, OpenAI Agents, ADK, or equivalent.

• Hands-on experience with RAG, GraphRAG, vector databases, knowledge graphs, enterprise search, and LLM integration patterns.

• Strong experience with Kubernetes, Kafka, Python, API Gateways, microservices, CI/CD, Prometheus/Grafana, and observability tooling.