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.

Key job responsibilities

• 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.
• 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.
• Design, implement, deploy, and maintain innovative distributed system software that enhances service security, durability, availability, performance, and cost-efficiency for SAP workloads on AWS.
• Apply your SAP domain expertise, including SAP BASIS, ABAP, and knowledge of SAP systems architecture, to design integrations that meet the needs of enterprise customers and the SAP community.
• 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.
• 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.
• 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.
• 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.
• Design operational patterns that leverage AI for monitoring, incident response, and automation to improve system resilience and reduce complexity for other builders.
• Own full-stack delivery from design through production, emphasizing high availability, performance, fault tolerance, and customer delight.
• 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.
• Represent your team externally to partner service teams and leadership.
• Actively participate in product definition, architecture reviews, iterative development, code review, and operations.
• Communicate clearly and professionally with teammates, customers, and partners.

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 be required based on engineering work requirements with partners.

About the team

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.

Basic qualifications

• 6+ years of non-internship professional software development experience
• 6+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
• Bachelor's degree
• 5+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience
• Expertise in SAP Domain including SAP ABAP programming language skills, as well as knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, etc.) and their architecture and infrastructure needs
• Experience building with AI/ML technologies including large language models, generative AI, or agentic systems — with demonstrated ability to apply AI tools to operational tasks such as debugging, monitoring, or infrastructure management
• Experience leading the delivery of technology solutions across multiple teams, including decomposing complex problems into projects deliverable by others

Preferred qualifications

• Deep knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies.
• Experience architecting solutions spanning multiple AWS service domains in a multi-tiered, distributed environment (Service Oriented Architecture)
• Experience with both SAP's agentic technologies (Joule, BTP AI Core, SAP AI Launchpad) and AWS AI services (Bedrock, Amazon Q, Step Functions)