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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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