Sr. Systems Dev Engineer, AI & Strategic Partner Engineering

About the role

This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. Within ASP, the AI & Strategic Partner Engineering team is seeking a Senior Systems Development Engineer to create solutions that drive the adoption of SAP workloads on AWS and ensure those workloads run with world-class resilience. You'll design, develop, and own back-end subsystems that solve complex distributed system challenges for SAP customers. You'll build and manage AI agents that handle operational tasks (debugging production issues, maintaining infrastructure, and automating repetitive workflows) so engineers can focus on high-judgment work. You'll also work on customer-facing APIs used by millions of applications worldwide. The ideal candidate has deep technical skills in SAP applications and cloud computing, is conversant in both SAP's agentic technologies (Joule, BTP AI Core) and AWS AI services (Bedrock, Amazon Q), and can apply these tools practically to solve real operational problems. Your SAP domain expertise (SAP BASIS, ABAP, and systems architecture knowledge) is essential to making a significant impact. This role demands a self-starter mindset, rapid experimentation, and expertise in resilience engineering, ideal for engineers who love learning, challenging norms, and building systems that enable other builders to ship faster and safer. Key job responsibilities You'll own your team's systems end-to-end: proactively identifying risks, limitations, and deficiencies; decomposing complex problems into straightforward projects others can deliver in parallel; and setting the standards for engineering and operational excellence that your team adopts. You'll define the technical direction for your team's systems, own architectural decisions, and drive cross-team alignment, building resilient, partner-driven solutions alongside senior engineers and architects. You'll design, implement, deploy, and maintain innovative distributed system software that enhances service security, durability, availability, performance, and cost-efficiency for SAP workloads on AWS. Your SAP domain expertise, including SAP BASIS, ABAP, and knowledge of SAP systems architecture, is essential to designing integrations that meet the needs of enterprise customers and the SAP community. You'll create and manage purpose-built AI agents that perform operational tasks: triaging alarms, diagnosing root causes, analyzing build pipelines, managing fleet health, and tracking fixes. You'll use AI tools daily to debug complex distributed failures, build and maintain infrastructure, and generate documentation, treating AI as a force multiplier for systems engineering work. You'll be conversant in SAP's agentic ecosystem (Joule, BTP AI Core, SAP AI Launchpad) and AWS AI services (Bedrock, Amazon Q, Step Functions) to design solutions that bridge both platforms. You'll design, build, and harden AI-assisted systems and workflows, ensuring they run reliably in production, degrade gracefully under failure, and meet the resilience bar required for mission-critical SAP workloads. You'll design operational patterns that leverage AI for monitoring, incident response, and automation to improve system resilience and reduce complexity for other builders. You'll own full-stack delivery from design through production, emphasizing high availability, performance, fault tolerance, and customer delight. You'll build detailed technical specifications, lead architecture and operational reviews, and partner with cross-functional teams (Product, Security, AI Research) to influence roadmaps through data and credibility. You represent your team externally to partner service teams and leadership. All team members actively participate in product definition, architecture reviews, iterative development, code review, and operations. Clear, professional communication with teammates, customers, and partners is essential. A day in the life You'll identify partner pain points and make architectural decisions that blend resilience, scalability, security, and innovation. You'll build agents that investigate production issues end-to-end, validate them through testing, and iterate based on real operational data. You'll lead design reviews, troubleshoot complex distributed failures across system boundaries using AI-assisted diagnostics, and document decisions to empower future teams. When you recognize that the most appropriate solution requires expertise you lack, you own the problem but partner with experts to ensure the correct solution is built. Occasional travel may b