We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
What you’ll build
You will work on real enterprise cloud operations scenarios where AI applications and agents can help engineers detect issues, understand incidents, retrieve knowledge, automate operational tasks, improve troubleshooting efficiency, and enhance service reliability at scale.
The ideal candidate is a strong hands-on engineer, a practical AI-native builder, and an independent problem solver who can turn ambiguous product or operations challenges into reliable production software.
As a Senior AI-Native Application / Agent Developer, you will contribute to the design, implementation, and delivery of AI-powered product capabilities, agentic workflows, and intelligent automation solutions for SAP CX cloud operations.
You will be expected to combine strong software engineering discipline with modern AI-native development practices. This includes using AI coding agents, automated validation, human engineering judgment, observability, and iterative feedback loops to deliver software faster and with higher quality.
Core Responsibilities
Design, develop, test, and deliver production-grade AI-powered applications and agents for enterprise cloud operations scenarios.
Build and integrate LLM-based capabilities, AI agents, retrieval-augmented generation, tool calling, workflow automation, and intelligent decision-support features into real product experiences.
Develop reliable backend, frontend, or full-stack components that expose AI capabilities through secure, scalable, and user-friendly enterprise applications.
Design agentic workflows that may include planning, tool use, memory, state management, human-in-the-loop controls, fallback mechanisms, and integration with enterprise systems.
Apply AI-native engineering practices across the full software development lifecycle, including requirement clarification, technical design, coding, debugging, testing, code review, documentation, refactoring, and release preparation.
Use AI development tools such as GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar coding agents to improve productivity, accelerate exploration, generate tests, validate solutions, and improve code quality.
Independently own end-to-end implementation of product features, from ambiguous requirements and technical design to implementation, validation, production release, and continuous improvement.
Build AI capabilities with production-grade evaluation, monitoring, reliability, security, and governance in mind, including prompt/version control, regression testing, observability, hallucination mitigation, access control, and fallback strategies.
Collaborate with product managers, operations experts, and engineering teams while independently shaping product logic, user experience, technical design, and implementation plans, using AI tools to accelerate ideation, prototyping, and design exploration.
Continuously explore and introduce AI-native engineering practices that improve team productivity, delivery speed, software quality, test coverage, and operational excellence.
Make sound technical trade-off decisions around quality, reliability, latency, cost, maintainability, user experience, and enterprise compliance.
Help raise the team’s AI-native engineering maturity by sharing practices, patterns, tools, and lessons learned with other developers.
What you bring:
We are looking for a senior AI-native application and agent developer who believes the next generation of enterprise software will be built differently: AI-assisted by default, agent-enabled by design, and continuously improved through automation, data, and feedback.
This role is not for someone who merely uses AI coding tools occasionally. We are looking for a developer who can use AI as a fundamental part of how software is designed, implemented, tested, operated, and evolved.
We are looking for a developer who is strong both in traditional software engineering and in modern AI-native development.
You should have:
Proven ability to independently deliver complex software features, modules, or projects from requirement clarification to production release.
Strong hands-on programming skills in at least one major language such as Java, Python, JavaScript, TypeScript, or Go.
Practical experience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar tools as part of daily engineering work.
Strong understanding of how to use AI tools effectively without relying on them blindly, including reviewing, validating, testing, and improving AI-generated code.
Experience building production-quality backend, frontend, or full-stack applications.
Ability to break down ambiguous or complex problems, explore solution options, make technical decisions, and drive implementation independently.
Good understanding of software engineering fundamentals, including system design, clean code, testing, debugging, code review, CI/CD, maintainability, and operational reliability.
Awareness of key challenges in AI-powered applications, such as hallucination, grounding, evaluation, observability, latency, cost, privacy, security, and user trust.
Ability to communicate technical ideas clearly with stakeholders.
Strong written and verbal English communication skills.
Bachelor’s degree or above in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field; equivalent practical experience will also be considered.
5+ years of professional software development experience.
PREFERRED REQUIREMENTS
Experience or domain knowledge in operations, such as cloud operations, DevOps, SRE, incident management, monitoring, alerting, root cause analysis, provisioning, security
Understanding of how enterprise cloud operations teams work, including operational workflows, ticket handling, escalation processes, system health monitoring, troubleshooting, and continuous service improvement.
Knowledge of or hands-on experience with SAP Business Technology Platform (SAP BTP)
Experience applying AI, automation, or agentic workflows to operations scenarios, such as incident summarization, alert correlation, log analysis, knowledge retrieval, troubleshooting assistance, or operational task automation.
Where you belong:
SAP Customer Experience helps businesses on every continent sell more goods, services and digital content through every touch point, channel, and device.
Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
Successful candidates might be required to undergo a background verification with an external vendor.
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: 444144 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid
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