SAP Joule AI Solution Lead / Architect

• We are seeking an experienced SAP Joule AI Solution Lead / Architect to design, govern, and implement AI-enabled enterprise solutions leveraging SAP Joule, SAP Business AI, SAP BTP, Joule Studio, Generative AI Hub, and Agentic AI frameworks. This individual will serve as both a strategic architect and hands-on technical lead, helping define AI architecture and roadmaps while leading developers through the implementation of Joule-powered solutions.
• The ideal candidate will bring 12-15 years of experience, with a strong background architecting SAP BTP solutions within Manufacturing and/or Pharmaceutical/Life Sciences environments. This role requires the ability to bridge business transformation, AI innovation, regulatory requirements, and SAP technology while developing scalable AI solutions across the enterprise.

Top Skills

• SAP Joule & Agentic AI Architecture: Hands-on experience with Joule Studio and the architecture and implementation of Joule-based assistants, AI agents, and multi-agent solutions.
• SAP BTP & AI Solution Architecture: Strong experience architecting BTP-based solutions and selecting the appropriate AI technologies, frameworks, and development methodologies.
• AI/Cloud Development: Cloud platform experience with Azure, AWS, or Google Cloud, combined with programming experience in Python, R, or Java and familiarity with AI/ML technologies.

Responsibilities:

• Define enterprise architecture and strategy for SAP Business AI, SAP Joule, and Agentic AI solutions.
• Develop AI transformation roadmaps supporting SAP S/4HANA and SAP Business Suite environments.
• Design and implement SAP Joule-based business assistants and AI agents using Joule Studio and related SAP technologies.
• Architect solutions utilizing SAP BTP, SAP AI Core, Generative AI Hub, Joule Studio, and custom BTP agent frameworks.
• Design multi-agent architectures capable of supporting end-to-end enterprise business workflows.
• Define architecture and interaction patterns for transactional, analytical, conversational, and autonomous AI use cases.
• Integrate Joule agents with SAP and non-SAP applications using SAP BTP services and APIs.
• Establish enterprise AI reference architectures, technical standards, security models, and governance frameworks.
• Evaluate emerging AI technologies, foundation models, and Agentic AI capabilities and recommend appropriate technologies and methodologies for business use cases.
• Drive adoption of SAP Joule as a conversational AI interface across SAP applications.
• Ensure AI solutions align with ethical AI principles, data privacy requirements, and applicable Life Sciences regulatory requirements, including GxP and FDA considerations.
• Provide hands-on architectural and technical leadership throughout solution design, development, and implementation.
• Lead and provide technical direction to a team of developers, including design guidance, technical reviews, and development best practices.
• Collaborate with business, functional, engineering, and technology stakeholders to translate complex business challenges into scalable AI solutions.

Required Qualifications

• 12-15 years of overall experience with a background in SAP solution architecture, including architecture of SAP BTP solutions.
• Strong hands-on experience with SAP Joule and Joule Studio, including Joule-based application and agent development.
• Deep understanding of Agentic AI architecture, including designing business agents and multi-agent enterprise solutions.
• Experience with SAP BTP, SAP AI Core, Generative AI Hub, SAP Business AI, and SAP S/4HANA environments.
• Experience architecting and integrating AI solutions across both SAP and non-SAP enterprise applications.
• Experience evaluating and selecting AI technologies, platforms, tools, and development methodologies.
• Experience within Manufacturing, Pharmaceutical, and/or Life Sciences environments.
• Understanding of AI governance, security, data privacy, ethical AI principles, and regulated-environment considerations.
• Cloud computing experience with platforms such as Microsoft Azure, AWS, or Google Cloud.
• Programming experience with Python, R, and/or Java, with familiarity with AI/ML frameworks such as TensorFlow or PyTorch.
• Strong analytical and problem-solving capabilities with the ability to address complex enterprise business and technology challenges.
• Strong communication, technical leadership, and team-management skills with the ability to collaborate across business and technology organizations.

Preferred Qualifications

• Experience defining enterprise-scale AI transformation strategies and roadmaps.
• Experience with foundation models and emerging Generative AI technologies.
• Experience designing AI solutions within highly regulated Life Sciences environments.
• Relevant SAP certifications, particularly in SAP BTP, SAP architecture, SAP Business AI, or related technologies.