AI Architect

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 • In this role, you'll define the architecture for intelligent, enterprise-grade applications and platforms with AI built into the core design rather than added as an afterthought. • You'll shape end-to-end solutions across application services, integration layers, data architecture, event-driven systems, security, and AI/ML components. That includes designing patterns for model integration, batch and real-time inference, feature and data pipelines, vector search, LLM orchestration, agent frameworks, evaluation services, and responsible AI controls. • You’ll guide teams on scalability, resilience, interoperability, observability, privacy, and compliance, and ensure architecture choices support both near-term delivery and long-term platform evolution. • Your work will directly influence how quickly engineering teams can build, govern, and scale AI-enabled capabilities across products and customer scenarios. What You Bring • You bring deep expertise in software architecture for large-scale distributed systems, including microservices, event-driven patterns, APIs, integration layers, and data platforms • You have a strong understanding of AI and ML system architecture, including training pipelines, inference layers, model lifecycle design, and ML platform capabilities • You have experience designing enterprise-grade generative AI solutions using LLMs, embeddings, vector databases, RAG patterns, tool use, and orchestration frameworks • You are skilled at designing scalable and secure application architectures that integrate transactional systems, analytical platforms, and AI-powered services • You have strong knowledge of cloud-native architecture, including containers, Kubernetes, infrastructure automation, observability, resilience, and performance engineering • You have experience defining reference architectures, design standards, and reusable technical patterns for AI-enabled product development • You bring a strong understanding of data architecture, governance, metadata, privacy, and access patterns required to support trustworthy AI solutions • You evaluate build-versus-buy decisions across models, platforms, data services, and integration tooling, clearly articulating technical and business trade-offs • You have knowledge of responsible AI, model governance, security controls, compliance requirements, and architectural guardrails for safe enterprise adoption • You have experience leading architecture reviews, influencing engineering roadmaps, and aligning technical direction across multiple teams or product areas • You communicate complex architectural decisions clearly to engineers, product leaders, and executive stakeholders About You • You bring 6+ years of experience in software engineering, architecture, or a related field, with a strong track record of designing and delivering complex systems • You think in systems, with a strong ability to connect architecture decisions to broader platform strategy and business outcomes • You are a technical leader who influences without authority and drives alignment across teams and organizations • You are passionate about building robust, extensible systems that stand the test of time • You stay current with emerging technologies, particularly in AI, cloud, and distributed systems Where You Belong You will be part of a growing AI and industry expert team dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets. This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape. About The Team We work across boundaries, help teams make better design choices, and build foundations that let AI products scale safely and efficiently. We value clarity, system thinking, and practical innovation. 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 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 verificatio

What You Bring: deep expertise in software architecture for large-scale distributed systems, including microservices, event-driven patterns, APIs, integration layers, and data platforms. Strong understanding of AI and ML system architecture, including training pipelines, inference layers, model lifecycle design, and ML platform capabilities. Experience designing enterprise-grade generative AI solutions using LLMs, embeddings, vector databases, RAG patterns, tool use, and orchestration frameworks. Skilled at designing scalable and secure application architectures that integrate transactional systems, analytical platforms, and AI-powered services. Strong knowledge of cloud-native architecture, including containers, Kubernetes, infrastructure automation, observability, resilience, and performance engineering. Experience defining reference architectures, design standards, and reusable technical patterns for AI-enabled product development. Strong understanding of data architecture, governance, metadata, privacy, and access patterns required to support trustworthy AI solutions. Ability to evaluate build-versus-buy decisions across models, platforms, data services, and integration tooling, clearly articulating technical and business trade-offs. Knowledge of responsible AI, model governance, security controls, compliance requirements, and architectural guardrails for safe enterprise adoption. Experience leading architecture reviews, influencing engineering roadmaps, and aligning technical direction across multiple teams or product areas. Ability to communicate complex architectural decisions clearly to engineers, product leaders, and executive stakeholders. About You: You bring 6+ years of experience in software engineering, architecture, or a related field, with a strong track record of designing and delivering complex systems. You think in systems, with a strong ability to connect architecture decisions to broader platform strategy and business outcomes. You are a technical leader who influences without authority and drives alignment across teams and organizations. You are passionate about building robust, extensible systems that stand the test of time. You stay current with emerging technologies, particularly in AI, cloud, and distributed systems.

What You'll Build: Define the architecture for intelligent, enterprise-grade applications and platforms with AI built into the core design rather than added as an afterthought. Shape end-to-end solutions across application services, integration layers, data architecture, event-driven systems, security, and AI/ML components, including designing patterns for model integration, batch and real-time inference, feature and data pipelines, vector search, LLM orchestration, agent frameworks, evaluation services, and responsible AI controls. Guide teams on scalability, resilience, interoperability, observability, privacy, and compliance, ensuring architecture choices support both near-term delivery and long-term platform evolution. Your work will directly influence how quickly engineering teams can build, govern, and scale AI-enabled capabilities across products and customer scenarios.