SAP Joule / AI Solution Engineer

VDartDigital; United States; Remote; USD 140,000 - 230,000; Full time

Job summary

VDartDigital is seeking an SAP Joule / AI Solution Engineer to spearhead architecture and end-to-end Joule implementations in a remote capacity.

You will design custom Joule agents, configure Joule Studio and Build, and enable developers with ABAP AI features, while ensuring security, governance, and cross-functional collaboration across SAP platforms.

Qualifications

• Bachelor's or Master's degree in CS/IT/SE.
• SAP Joule implementation experience is mandatory.
• Experience with Joule Studio and custom Joule agents.

Responsibilities

• Define SAP Joule and AI architecture strategy and roadmaps.
• Lead end-to-end Joule implementation and enablement in SAP environment.
• Design and implement custom Joule agents and AI use cases.
• Configure Joule Studio and SAP Build for low-code AI development.
• Enable Joule for Developers including ABAP AI features and tooling integration.
• Optimize AI agents and monitor AI unit consumption across deployments.
• Develop SAP AI solutions using APIs, OData, BTP and integration tech.
• Integrate SAP Joule with Microsoft 365, Copilot, and Teams where applicable.
• Implement MCP integration for advanced agent communication.
• Establish security controls, governance, and compliance frameworks.

Skills

SAP Joule expertise

ABAP programming

SAP BTP architecture

OAuth security

LLM & Generative AI

S/4HANA integration

Education

Bachelor's or Master's in Computer Science/IT/Software Engineering

SAP certifications in BTP/S4HANA/AI

Tools

Joule Studio

Eclipse ADT

Visual Studio Code

SAP Build

OData services

Job description

Job Title :SAP Joule / AI Solution Engineer
Location : Remote
Employment : Full-time with VDart Digital

Key Responsibilities:

• SAP AI Architecture & Roadmap: Define and establish the overall SAP Joule and SAP AI architecture strategy. Develop and maintain a comprehensive implementation roadmap that aligns AI capabilities with business priorities and technical requirements across the SAP landscape.
• SAP Joule Implementation Leadership: Lead the end-to-end implementation, configuration, and enablement of SAP Joule within the organization's SAP environment. Ensure successful deployment of Joule capabilities across different user personas and business use cases.
• Custom Joule Agents & Use Cases: Design, develop, and implement custom Joule Agents tailored to specific business processes and organizational requirements. Create AI-powered use cases that deliver measurable business value, ranging from simple automation to complex, multi-step workflow intelligence.
• Joule Studio & SAP Build Configuration: Configure and optimize SAP Joule Studio and SAP Build environments for skills development and agent creation. Establish best practices for low-code/no-code AI development within the organization.
• Joule for Developers (J4D) Enablement: Enable and support Joule for Developers capabilities, including ABAP AI features for code generation, explanation, and testing. Configure connections to Eclipse ADT and Visual Studio Code for seamless developer tooling integration. Train development teams on leveraging AI-assisted development capabilities.
• AI Agent Optimization: Develop expertise in leveraging existing SAP AI Agents, features, and pre-built skills. Understand how to customize and extend standard capabilities to meet specific business requirements.
• AI Unit Consumption Management: Establish methods to quantify and monitor AI Unit Consumption across all Joule implementations. Develop optimization strategies to ensure efficient usage and avoid excessive consumption costs. Implement monitoring and alerting for consumption thresholds.
• Custom AI Solution Development: Develop and customize SAP AI solutions using appropriate technical components including SAP APIs, OData services, SAP BTP services, and various SAP integration technologies. Ensure solutions follow SAP best practices and architectural patterns.
• Microsoft 365 & Copilot Integration: Support integration scenarios between SAP Joule and Microsoft 365, Microsoft Copilot, and Microsoft Teams where applicable. Design hybrid AI solutions that span SAP and Microsoft ecosystems.
• Model Context Protocol (MCP) Integration: Implement and support integration patterns involving MCP (Model Context Protocol) for advanced agent communication and interoperability scenarios.
• Security & Governance Framework: Establish comprehensive security controls, authorization models, data privacy safeguards, AI governance policies, and consumption management frameworks for all SAP AI implementations. Ensure compliance with enterprise security standards and regulatory requirements.
• Cross-Functional Collaboration: Work closely with SAP Platform teams, BASIS administrators, Security teams, BTP architects, development teams, and functional consultants to successfully move AI use cases from development through production deployment. Coordinate across multiple technical domains to ensure seamless integration.
• Technical Troubleshooting: Diagnose and resolve complex technical issues related to Joule configuration, BTP integration, AI service connectivity, and cross-platform integration challenges. Provide expert-level support for production AI solutions.
• Documentation & Knowledge Transfer: Create comprehensive technical documentation including architecture diagrams, configuration guides, integration specifications, and operational procedures. Establish configuration standards and best practices. Provide knowledge transfer sessions to build internal team capabilities.

Requirements :

Experience:

• 8 + years of SAP experience with strong recent hands-on experience in SAP BTP and S/4HANA environments
• Proven hands-on SAP Joule implementation experience (this is mandatorynot theoretical knowledge)
• Direct experience implementing or configuring SAP Joule for Developers (J4D) including ABAP AI capabilities
• Experience with Joule Studio and creation of custom Joule agents and skills
• Strong SAP BTP architecture experience including service provisioning, destinations, connectivity, and multi-cloud scenarios
• Hands-on experience with SAP Build, SAP AI Core, and Generative AI Hub for developing AI-powered solutions
• Deep expertise in SAP APIs, OData services, and BTP destination configuration
• Strong knowledge of S/4HANA integration patterns and SAP security/identity architecture
• Understanding of IAS/IPS (Identity Authentication/Provisioning Service), OAuth protocols, Cloud Connector, and BTP security models
• Working knowledge of ABAP programming and SAP development architecture to effectively support developer-focused AI capabilities
• Experience designing and implementing enterprise Generative AI and Large Language Model (LLM) solutions
• Understanding of RAG (Retrieval-Augmented Generation), grounding techniques, prompt engineering, and agentic AI architecture patterns
• Proven track record of taking SAP AI solutions from POC/pilot phase through full production deployment including post-go-live support

Preferred Experience:

• Experience with SAP Cloud ALM and AI-assisted operations/monitoring capabilities
• Implementation of SAP operational AI and intelligent monitoring use cases
• Knowledge of Microsoft Azure AI services and Azure OpenAI integration patterns
• Experience integrating SAP solutions with Microsoft Copilot and Microsoft 365 ecosystem
• Implementation of MCP (Model Context Protocol)-based agent integrations
• Deep understanding of SAP security and compliance requirements in large global enterprises
• Experience working with SAP RISE and S/4HANA Private Cloud deployment models
• Familiarity with SAP Business AI and industry-specific AI use cases
• Experience with vector databases and semantic search implementations

Technical Skills:

• Expert-level proficiency in SAP BTP (Business Technology Platform)
• Advanced knowledge of SAP Joule architecture and configuration
• Strong understanding of Generative AI, LLMs, and prompt engineering
• SAP integration technologies (APIs, OData, RFC, Web Services)
• SAP security frameworks and identity management
• Cloud architecture patterns and microservices design
• ABAP programming and SAP development tools (Eclipse ADT, Visual Studio Code extensions)
• AI governance, monitoring, and cost optimization strategies

Education:

• Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or related technical field
• SAP certifications in BTP, S/4HANA, or AI-related technologies are highly valued