Principal AI Architect -SAP ERP Operation and AI technologies (SAP Joule, SAP AI Core, ALM, AI governance)
- Source: LinkedIn
- NeerInfo Solutions
- Hybrid
- Three Rivers
- Full-Time
- Staff
Job Description
Role : Principal AI Architect – SAP ERP Operations, Agentic AI & Automation.
Fulltime role
Location : hybrid at New Jersey
Skills needed : SAP AI technologies such as SAP Joule, SAP AI Core, SAP BTP, SAP Cloud ALM, SAP Knowledge Graph, or related SAP Business AI capabilities. Agentic AI , RAG/GraphRAG, AI governance
Principal AI Architect – SAP ERP Operations, Agentic AI & Automation.
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.
- Define AI governance, HITL controls, confidence scoring, approval workflows, auditability, and Responsible AI practices.
- Define operational KPIs including automation coverage, incident reduction, MTTR improvement, ticket deflection, self-healing success, and AI ROI.
- Partner with SAP, hyperscalers, NVIDIA teams to accelerate AI-led innovation.
- Mentor engineering teams and establish architectural standards, runbooks, and best practices.
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.
- Experience implementing AI governance, HITL frameworks, model evaluation, drift monitoring, prompt management, and Responsible AI controls.
- Strong understanding of enterprise security, RBAC, SSO, audit logging, and compliance frameworks.
- Excellent communication and stakeholder management skills.
Preferred Qualifications
- Experience building AI-driven solutions for transport automation, predictive monitoring, Control-M automation, compliance automation, incident triage, RCA, and self-healing operations.
- Experience with SAP Managed Services, SAP S/4HANA transformations, or large-scale ERP modernization programs.
- Familiarity with SAP Joule Studio, Business Data Cloud, Signavio, LeanIX, and SAP Business AI ecosystem.
- Experience working with NVIDIA, AWS Bedrock, Azure AI, or equivalent enterprise AI platforms.
- Participation in AI innovation programs, hackathons, or development of reusable AI accelerators and enterprise agents.
Deliverables & Artifacts
- AI & Agentic Architecture Designs
- Agent Development Standards and Runbooks
- CI/CD Pipelines and Deployment Artifacts
- Automated Testing Frameworks
- Knowledge Architecture (RAG / Knowledge Graph)
- AI Governance and HITL Frameworks
- KPI Dashboards and AI ROI Reports
- Agent Evaluation Scorecards and Quality Metrics
- Solution Playbooks and Operational Procedures
Ideal Candidate: A builder who combines SAP operations expertise wit…
Skills
- sap
- sap-cloud-alm
- microsoft-graph
- graphrag
- aws-for-sap
- Kafka
- gRPC
- nvidia
- aws-managed-services
- LangGraph
- crewai
- Kubernetes
- Python
- Prometheus
- Grafana
- drift
- control-m
- sap-s4hana
- signavio
- lean-ix
- amazon-web-services
- bedrock
- microsoft-azure
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