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. <div> <div> What You'll Do </div> <div> AI Innovation & Prototyping </div> <div> <ul> <li>Drive the design, development, and evolution of the AI Prototyping Lab, enabling engineers, business teams, and innovators to rapidly experiment with emerging AI technologies in a secure, scalable, and enterprise-ready environment.</li> <li>Lead the creation of prototypes, proof-of-concepts, and pilot solutions that validate business opportunities and accelerate innovation.</li> <li>Evaluate emerging AI technologies, frameworks, development patterns, and tooling ecosystems to identify opportunities that improve productivity, innovation, and business outcomes.</li> <li>Transform innovative concepts into reusable platform capabilities, accelerators, and scalable enterprise solutions. </li> <li>Promote AI-native development practices and experimentation-driven engineering approaches across the organization. </li> </ul> </div> <div> Agentic AI Engineering </div> <div> <ul> <li>Design and build Agentic AI solutions that leverage Large Language Models, enterprise systems, APIs, tools, and knowledge sources to solve complex business challenges.</li> <li>Develop AI Agents, multi-agent workflows, MCP-enabled integrations, orchestration patterns, reasoning frameworks, memory strategies, and AI-assisted automation capabilities.</li> <li>Establish reusable agent engineering patterns, frameworks, and platform services that accelerate the adoption of Agentic AI across the organization.</li> <li>Drive best practices for AI governance, observability, security, scalability, and responsible AI implementation.</li> <li>Collaborate with engineering teams to build scalable and maintainable enterprise-grade AI solutions. </li> </ul> </div> <div> Full-Stack Engineering & Platform Development </div> <div> <ul> <li>Design and develop modern cloud-native applications across frontend, backend, integration, and platform layers.</li> <li>Build scalable APIs, microservices, reusable services, developer tooling, SDKs, and self-service capabilities that improve developer productivity and platform adoption.</li> <li>Deliver intuitive user experiences that simplify the development and consumption of AI-powered capabilities.</li> <li>Implement secure, resilient, and maintainable architectures aligned with enterprise standards and engineering best practices.</li> <li>Contribute hands-on across the full technology stack, from user interfaces to platform services and integrations. </li> </ul> </div> </div> <div> <div> Product Ownership Support & Strategic Collaboration </div> <div> <ul> <li>Partner closely with Product Owners and Product Managers to shape the vision, roadmap, and strategic direction of the AI Prototyping Lab.</li> <li>Contribute technical expertise during product discovery activities, helping evaluate opportunities, validate assumptions, and identify innovative AI-driven solutions.</li> <li>Support backlog refinement, feature prioritization, roadmap planning, and release discussions by balancing business value, technical feasibility, user experience, and operational considerations.</li> <li>Act as a trusted technical advisor during product decision-making and help define scalable implementation approaches for new platform capabilities.</li> <li>Collaborate with stakeholders across engineering, architecture, security, and business teams to ensure platform investments deliver measurable business outcomes. </li> </ul> </div> <div> Platform Growth & Continuous Improvement </div> <div> <ul> <li>Drive platform adoption through improved onboarding experiences, developer enablement initiatives, reusable templates, and self-service capabilities.</li> <li>Establish continuous feedback loops with users and stakeholders to refine platform capabilities, priorities, and adoption strategies.</li> <li>Champion engineering excellence, automation, knowledge sharing, and continuous learning within the team.</li> <li>Foster a culture of experimentation, innovation, collaboration, and rapid learning. </li> </ul> </div> <div> <img width="575" height="0"> </div> <div> What You Bring </div> <div> Qualifications </div> <div> <ul> <li>Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related discipline.</li> <li>8+ years of experience in software engineering, platform engineering, enterprise application development, or AI engineering.</li> <li>Demonstrated experience delivering complex technical solutions within cloud-native and enterprise technology environments.</li> <li>Strong passion for innovation, emerging technologies, and practical application of AI to solve business challenges. </li> </ul> </div> </div> <div> <div> Functional Expertise <ul> <li>Strong understanding of enterprise AI adoption patterns and how AI can be leveraged to improve business processes, developer productivity, and user experiences.</li> <li>Proven ability to collaborate effectively with Product Owners, Product Managers, Architects, Engineers, and Business Stakeholders.</li> <li>Experience translating business opportunities into scalable technical solutions that deliver measurable outcomes.</li> <li>Ability to balance innovation, technical feasibility, governance requirements, user experience, and operational excellence when designing solutions.</li> <li>Strong communication and stakeholder engagement skills with the ability to influence both technical and non-technical audiences. </li> </ul> </div> <div> Technical Expertise </div> <div> <ul> <li>Strong Full-Stack Development experience across frontend, backend, APIs, integrations, and cloud-native architectures, with a proven ability to deliver scalable enterprise applications and platform capabilities. </li> <li>Deep expertise in Agentic AI engineering, including AI Agents, multi-agent systems, MCP-based integrations, Retrieval-Augmented Generation (RAG), AI orchestration frameworks, and intelligent automation solutions.</li> <li>Proven experience building Generative AI platforms, reusable services, SDKs, developer tooling, and self-service capabilities that accelerate AI adoption and developer productivity.</li> <li>Strong understanding of enterprise AI architecture, governance, security, observability, and responsible AI principles, with the ability to transform prototypes into production-ready solutions.</li> <li>Experience with modern software engineering, DevOps, and platform engineering practices, including CI/CD, automation, microservices, containerization, Kubernetes, and cloud-native development.</li> <li>Familiarity with enterprise AI platforms such as SAP AI Core, SAP AI Launchpad, SAP BTP, Azure AI Services, AWS AI Services, or similar technology ecosystems.</li> <li>Demonstrated ability to evaluate emerging technologies, balance technical feasibility with business value, and drive innovation through rapid experimentation and delivery. </li> </ul> </div> <div> Leadership & Collaboration </div> <div> <ul> <li>Demonstrated ability to lead complex technical initiatives from ideation through implementation, adoption, and continuous improvement.</li> <li>Proven experience mentoring engineers, conducting code reviews, and promoting engineering best practices, quality standards, and continuous learning within development teams.</li> <li>Strong stakeholder engagement skills with the ability to collaborate effectively across engineering, architecture, product management, security, and business teams.</li> <li>Recognized for technical leadership, ownership, accountability, and delivering high-quality outcomes in fast-paced innovation environments. </li> </ul> </div> <div> Success Profile </div> </div> <div> The ideal candidate combines deep software engineering expertise, strong Full-Stack Development capabilities, advanced Agentic AI knowledge, and a product-oriented mindset. They are passionate about building innovative AI-powered experiences, enabling others through reusable platforms and tooling, mentoring engineering teams, and partnering with Product Owners to shape roadmap decisions, prioritize investments, and deliver measurable business value through rapid experimentation and innovation. </div> Meet your team Join SAP’s Enterprise AI CoE — where innovators shape, govern, and scale AI. We drive the latest AI solutions, empower colleagues worldwide, and set the standard for responsible, enterprise-ready AI. 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: [email protected]. For SAP employees: Only permanent roles are eligible for the <a href="https://one.int.sap/me@sap/jobs_and_hiring/employee_referral/region/0000/lang/en">SAP Employee Referral Program</a>, 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 <a href="https://jobs.sap.com/content/Ethical_usage_of_AI_in_the_recruiting_process/?locale=en_US">Guidelines for Ethical Usage of AI in the Recruiting Process</a>. Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 447834 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

Senior AI Engineer - AI Prototyping Lab (Singapore, SG, 117440) @ SAP

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