SAP
From SAP's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong.
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.
We are developing an agentic AI platform for Cloud Operations: autonomous agents that classify alerts, run operational playbooks, investigate incidents, and progressively refine their own skill library. The platform is organised into two layers — a control plane covering agent registration, skill governance, and human-in-the-loop orchestration, and the agents themselves, which execute on SAP BTP / Kyma.
This position lives at the boundary between AI engineering and platform engineering. We are hiring someone who ships agents that operate reliably in production — not proofs of concept.
Designing and delivering LLM-driven agents based on skill-routing patterns (LangGraph, Claude API / Anthropic SDK, or comparable stacks)
Curating and evolving skill library — self-contained skill definitions with clearly declared tool bindings, trust levels, and confirmation checkpoints
Wiring agents into the systems already in production use: ServiceNow, alerting pipelines, Kyma / BTP APIs, and our internal knowledge sources
Contributing to shared agent memory and the feedback loops that lift skill quality over time
Packaging, deploying, and operating agents on SAP BTP / Kyma
Performing Agent testing and ensure Agents are production-ready, including authorizing tests that assess decision quality, not merely whether a task ran to completion
Results and Outcomes
Delivers agents and skills within an established architecture autonomously
Performs comprehensive testing on agents they build
Effectively works in accordance with established compliance, security and governance requirements
Understands ITSM and ITIL practices in the context of Cloud Operations and has them in mind to ensure Agent RoI, performance and relevance
Mindset
You focus on efficiency, value add and customer-centric experience
You actively communicate and collaborate with AI CoE and relevant teams to ensure compliance and effectiveness of AI Agents developed
You document your work — agent designs, skill contracts, and the reasoning behind decisions
You reason in terms of boundaries and contracts: what an agent is authorized to do unattended, what it must propose for approval, and what it must never do
You embed input from Operation team testing in Agent workflows prior implementation
You continuously work to develop a skill definition and initiate data-driven improvements over time
Strong command of Python (primary language for agent work), with working fluency in TypeScript / Node
Practical experience building LLM applications that go well beyond prompt crafting — including tool invocation, structured output handling, and agent control loops
A clear grasp of agentic design patterns: skill routing, human-in-the-loop workflows, and state-machine-driven execution
Working familiarity with at least one agent framework — LangGraph, LangChain, AutoGen, CrewAI, or an equivalent
Comfort with containers and foundational Kubernetes concepts, since agents run on SAP BTP / Kyma
A sharp production-safety focus: recognizing the failure modes that matter — hallucination, tool misuse, runaway loops, breaches of trust boundaries
Strongly Preferred
Hands-on exposure to SAP BTP, the CAP framework, or enterprise integration patterns.
Familiarity with ITSM and ITIL concepts — ServiceNow, the incident lifecycle, SLA management — since this is the domain in which the agents operate
Experience designing how AI systems are evaluated and measured
Hands-on experience in Cloud Operations or SRE, with a proficient understanding of what "safe remediation" actually requires
A track record of contributing to a shared skill or tool library consumed by multiple agents
Meet Your Team
As part of SAP’s Global Cloud Operations Cloud Lifecycle Engineering & AI Ops organization, you’ll join a team responsible for developing AI solutions related to operations of SAP’s strategic cloud solutions, such as SAP Business AI Platform, Joule, Business Data Cloud and AI Platform
Our mission is evolving beyond traditional cloud operations. We are embracing automation, intelligent observability, AIOps, and AI agents to build the next generation of cloud operations. Our engineers partner closely with development and platform engineering to create smarter operational workflows, reduce time to resolution, and continuously improve customer experience.
If you’re excited about cloud technologies, enjoy solving complex problems through AI , and want to help shape the future of AI-enabled operations at SAP, we’d love to meet you.
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: 459771 | Work Area: Software-Development Operations | Expected Travel: 0 - 10% | Career Status: Graduate | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid
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