16 days ago
Singapore, SingaporeStaff+
Responsibilities
- Own end-to-end architecture for complex enterprise AI programs from discovery through production.
- Lead solution architecture across AI agents, RAG, Knowledge Graphs, MCP, multi-agent systems, enterprise integrations, and cloud-native platforms.
- Advise customer executives, enterprise architects, and program leadership as the primary technical advisor.
- Architect scalable AI platforms using SAP AI Core, SAP BTP, Joule, Kubernetes, hyperscalers, and enterprise integration services.
- Define reference architectures, reusable frameworks, golden paths, engineering standards, and governance models.
- Lead technical discovery workshops, architecture reviews, and executive solution presentations.
- Guide engineering teams across multiple customer engagements and mentor senior engineers and architects.
- Drive security, observability, performance, compliance, and operational excellence for enterprise AI solutions.
- Provide architectural feedback from customer implementations to SAP product teams.
- Identify innovation opportunities and establish new technical capabilities for the Forward Deployed Engineering organization.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or a related discipline.
- 10+ years of software engineering and enterprise architecture experience with significant customer-facing delivery.
- Expertise in Python and modern enterprise application architecture.
- Deep experience with LLMs, agentic AI, RAG, GraphRAG, Knowledge Graphs, vector databases, MCP, tool calling, evaluation frameworks, and AI observability.
- Extensive experience with SAP BTP, SAP AI Core, Joule, SAP integration technologies, and enterprise landscapes.
- Strong background in Kubernetes, Docker, CI/CD, DevSecOps, cloud platforms including AWS, Azure, and GCP, and distributed systems.
- Experience architecting large-scale enterprise solutions integrating SAP and non-SAP systems.
- Experience leading cross-functional engineering teams and mentoring senior technical talent.
- Strong communication, executive stakeholder management, strategic thinking, and delivery execution abilities.
- Preferred: experience defining enterprise AI strategy or AI Centers of Excellence.
- Preferred: thought leadership through patents, publications, conference speaking, or open-source contributions.
- Preferred: experience building reusable platforms, accelerators, or enterprise engineering frameworks.
- Preferred: knowledge of regulated industries and enterprise governance models.
Benefits
- Flexible working models, an inclusive culture, health and well-being focus, continuous learning, professional development, and growth opportunities.
- Regular full-time employment with expected travel of 0–10%.
- The role is listed as hybrid and partners with customers across the Americas, Europe, and Asia.
Categories
Forward Deployed
About SAP
SAP builds enterprise application software and cloud services for finance, procurement, supply chain, human resources, and analytics, sold through subscriptions, licenses, and support. Its portfolio includes SAP S/4HANA, SAP Business Technology Platform, SAP Ariba, and SAP SuccessFactors. Founded in 1972 and headquartered in Walldorf, Germany, SAP is a public company listed on the NYSE and Frankfurt (ETR) and serves enterprises and public-sector organizations worldwide.