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Company Overview
A leading global technology and consulting organization helps businesses run better by delivering AI-driven solutions across diverse industries. The company focuses on integrating SAP technologies with modern AI frameworks to enable innovation, automation, and measurable business value, while fostering a culture of learning, wellbeing, and professional growth.
Responsibilities
Partner with customer stakeholders to define AI strategy, target architecture, and enterprise-grade AI solutions
Lead SAP AI discovery sessions and workshops to identify high-value use cases and accelerate data-driven decision-making
Architect robust AI solutions using SAP technologies such as Generative AI Hub, BTP, AI Core, Joule, Business Application Studio, Build Code, HANA, S/4HANA, Business Data Cloud, and Integration Suite
Design and manage APIs, microservices, and integrations across SAP and non-SAP systems
Utilize SAP BTP capabilities for data orchestration, analytics, vector search, and machine learning model deployment
Develop reference architectures for advanced AI patterns such as RAG, multi-agent orchestration, A2A automation, MCP, and hybrid AI scenarios
Design and guide implementation of enterprise-grade LLMOps/MLOps pipelines for continuous delivery, monitoring, and lifecycle management
Establish and enforce architectural best practices covering governance, scalability, security, observability, and operational excellence
Ensure Responsible AI adoption, regulatory compliance, performance optimization, and cost-efficient solution design
Contribute to reusable accelerators, frameworks, templates, and solution assets to scale AI adoption across customer engagements
Collaborate with SAP product engineering, services teams, and partners for end-to-end AI transformation programs
Provide technical leadership, coaching, and mentorship to engineering, data science, and consulting teams
Stay current on emerging AI technologies, SAP Data + AI innovations, and industry trends to drive continuous improvement
Qualifications
Strong business process acumen and ability to translate complex challenges into actionable AI-enabled solutions
AI-first mindset with excellent problem-solving, communication, and leadership skills
Proficiency across SAP BTP services, including SAP AI Core, AI Business Services, Integration Suite, and Extension Suite
Advanced expertise in Generative AI architectures such as RAG, agent orchestration, and model fine-tuning/customization
Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, Java)
Deep understanding of Generative AI, prompt engineering, and LLM-driven solution design
Familiarity with front-end development (JavaScript, HTML, Fiori Web Components) and API consumption
Experience with agentic systems, multi-agent coordination, tool-calling frameworks, and A2A/MCP patterns
Hands-on experience implementing MLOps/LLMOps pipelines and model lifecycle governance
Practical experience with frameworks such as LangChain, LangGraph, CrewAI, or similar orchestration tools
Knowledge of vector databases, semantic retrieval techniques, and knowledge graph architectures
Experience with S/4HANA, SAP Business Data Cloud, SAP Analytics Cloud, HANA Cloud, and SAP AI offerings
Understanding of SAP AI partnerships (e.g., Microsoft, Google, AWS, NVIDIA, Anthropic, Palantir) is a plus
Disclaimer
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1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality. 2. No Client Relationship: This company is not a client of SpringCube unless stated. 3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job. 4. No Liability: SpringCube is not liable for inaccuracies.
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