ABAP Senior Developer with AI

You'll join the SAP S/4HANA Finance team, take end-to-end technical ownership of critical systems and contribute to engineering excellence across the team. Mentoring less-experienced engineers, guiding design and code quality, and building strong technical capabilities within the team are all part of the role. The team operates across global, cross-functional groups in a culture that values continuous improvement, operational excellence, and knowledge sharing.

• Design and deliver production-grade AI agents that autonomously orchestrate SAP S/4HANA business processes, including multi-agent patterns and advanced RAG pipelines.
• Define and own AI evaluation and benchmarking frameworks to measure quality, reliability, safety, and performance.
• Build A2A-compliant agent architectures enabling structured, bidirectional communication between Joule and BTP agents.
• Wrap OData services and S/4HANA APIs as MCP-consumable tools via the SAP Integration Suite MCP Gateway, making them securely accessible to AI agents across teams and products.
• Optimize system latency, throughput, resilience, and cost across services and workloads; continuously tune performance and efficiency.
• Establish and evolve observability (logs, metrics, traces), alerting, incident response, and post-incident reviews in line with SRE best practices.
• Partner with platform, data, and AI teams to design robust, scalable integrations and harden systems for production.
• Build high-quality SAP solutions using ABAP/OO ABAP, modern ABAP, RAP, CDS/VDM, OData services, enhancement frameworks, and APIs.
• Deliver features through the full lifecycle: technical design, implementation, automated testing, release, stabilization, and ongoing production support.
• Collaborate with product, design, and cloud operations to shape roadmaps and ship value; drive automation in CI/CD and multi-level test strategies for frequent, reliable releases.
• Troubleshoot complex issues, conduct root-cause analysis, implement preventive actions, and continuously improve security and reliability.

• Minimum of 10 years of programming experience in the Software Development Lifecycle
• Deep experience with distributed systems and scalable application design, including resiliency and fault tolerance.
• Strong, hands-on LLM engineering: prompt design, function/tool calling, structured outputs, multi-turn reasoning, and agentic workflow design.
• Proven application of advanced RAG patterns (retriever optimization, indexing strategies, grounding, guardrails) and multi-agent orchestration.
• Experience in architecting tool integrations via MCP across multiple products/teams.
• Working knowledge of SAP BTP AI services - Generative AI Hub, AI Core, and Joule Studio - including agentic orchestration for production deployments.
• Familiarity with the Agent-to-Agent (A2A) protocol for designing bidirectional, interoperable multi-agent architectures across SAP and external agent ecosystems.
• Hands-on experience with agentic AI orchestration frameworks such as LangChain and LangGraph to build, test, and operate production agent workflows.
• Expertise in performance tuning, cost management, and debugging complex production systems.
• Solid grounding in SRE principles: service-level objectives, runbooks, observability (logs/metrics/traces), incident management, and postmortems.
• Experience designing and operating evaluation frameworks for AI systems to validate model behavior and reliability.
• Technical leadership: mentoring, driving design reviews, raising code quality, and influencing engineering practices.
• Excellent communication skills; able to translate business processes into agentic workflows and clearly articulate AI value to non-technical stakeholders.
• A problem-solving mindset with rigorous troubleshooting and root-cause analysis skills.
• Strong understanding of SAP S/4HANA architecture, data models, released APIs, and end-to-end business processes; Finance domain knowledge is an advantage.
• Hands-on expertise in ABAP Objects, modern ABAP, ABAP CDS/VDM, RAP, OData, enhancement frameworks, APIs, and performance-oriented development.