Skill - SAP Joule Expert for SAP on RISE leads integration
Location - Onsite at Bridgewater, New Jersey at Client office
- He/she should work as an End to End AI Architect.
- Should have hands-on Experience on all the Services.
- Experience in Implementing J2C,J2D
- Should have knowledge on Datasphere
- AI Governance and Security along with MCP.
- Detailed Knowledge in SAP Authentication service.
- Joule integration with Claude/Co-pilot/Open AI via MCP (Data authentication, Data Governance)
- Agent to Agent Integration with 3rd Part Agent like AWS Bedrock, Snowflake Agents.
- Experience in Joule Studio setup and Cloud SDK
- Should have experience in in N8N automation, Document Grounding and RAG.
Key Responsibilities:
Architect and design enterprise AI solutions leveraging SAP BTP, SAP Business AI, SAP Joule, SAP Business Data Cloud (BDC), SAP Datasphere, and related SAP technologies.
Design and implement AI-enabled applications, intelligent assistants, workflow automation, and business process orchestration solutions on SAP BTP.
Define technical architecture, solution patterns, integration frameworks, security controls, and deployment approaches for SAP AI initiatives.
Configure and extend SAP Joule capabilities to support enterprise business applications and AI-powered user experiences.
Design and implement solutions using SAP AI Core, AI Launchpad, Generative AI Hub, Build Process Automation, Build Apps, and Build Work Zone.
Architect and develop AI-powered workflows incorporating human-in-the-loop controls, approvals, routing, exception handling, escalations, and auditability requirements.
Design and implement Retrieval-Augmented Generation (RAG), grounding mechanisms, semantic search, enterprise knowledge retrieval, and intelligent document processing solutions.
Architect solutions leveraging SAP Business Data Cloud (BDC) and SAP Datasphere to provide trusted, governed, and business-contextualized data for AI applications.
Define data architecture patterns utilizing data products, semantic models, data federation, and enterprise analytics foundations to support AI-driven business solutions.
Develop secure integrations between SAP AI services, SAP applications and non-SAP enterprise systems.
Establish reusable architecture patterns, reference implementations, accelerators, and implementation standards for SAP AI initiatives.
Provide technical leadership and guidance to development teams, architects, functional consultants, and implementation partners.
Support proof-of-concept, pilot, and production implementation activities while ensuring scalability, maintainability, and operational readiness.
Evaluate and implement SAP AI solutions in accordance with enterprise AI governance frameworks, ensuring appropriate controls for security, privacy, compliance, explainability, auditability, and responsible use of generative AI capabilities.
Review AI solutions from a governance, risk, compliance, and responsible AI perspective, ensuring alignment with enterprise policies, regulatory requirements, and industry best practices.
Develop technical documentation, architecture diagrams, operational procedures, and knowledge transfer materials for internal support teams.
Required Experience and Qualifications:
Bachelor's degree in Computer Science, Information Systems, Engineering, Software Engineering, Data Science, or a related field. Master's degree preferred.
SAP certifications in SAP BTP, Integration Suite, Solution Architecture, or related technologies preferred.
10+ years of SAP architecture, application development, and enterprise integration experience.
5+ years of hands-on SAP Business Technology Platform (BTP) architecture and implementation experience.
3+ years of hands-on experience architecting and implementing AI, Generative AI, intelligent automation, or AI-enabled enterprise solutions.
Strong experience designing enterprise-scale architectures utilizing SAP BTP services.
Hands-on experience with SAP Business Data Cloud (BDC), SAP Datasphere, or enterprise data platforms supporting AI and analytics workloads.
Hands-on experience in SAP Integration Suite including Cloud Integration, API Management, Event Mesh, and event-driven architectures.
Experience with SAP Build Process Automation, SAP Bui ld Apps, SAP Build Work Zone, and workflow orchestration.
Experience designing and implementing enterprise integration patterns using REST APIs, OData services, messaging frameworks, and API-led architectures.
Experience integrating AI services, LLMs, enterprise search capabilities, intelligent assistants, and AI-powered workflows into enterprise applications.
Strong understanding of data architecture, semantic modeling, data governance, data federation, and data lifecycle management.
Experience designing secure enterprise solutions, including OAuth2, JWT, identity federation, authorization frameworks, and data protection controls.
Strong leadership, communication, stakeholder management, and technical decision-making skills.
Experience working within Agile delivery.
Preferred Experience:
Hands-on experience with SAP Joule and Joule Studio.
Experience with SAP Business AI, SAP AI Core, AI Launchpad, and SAP Generative AI Hub.
Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures.
Experience with prompt engineering, grounding frameworks, semantic retrieval, vector search, and AI orchestration patterns.
Experience building enterprise AI assistants, copilots, agentic workflows, and conversational AI applications.
Experience establishing AI governance frameworks and responsible AI operating models.
Prior consulting experience supporting enterprise AI transformation initiatives.
SAP BTP, SAP Build, SAP AI or relevant SAP certifications.
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