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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
AI Solution Architect with expertise in enterprise AI architectures, agentic workflows, GenAI/LLM platforms, and hyperscaler data ecosystems, combined with strong ability to master and apply SAP BTP, HANA Cloud, Datasphere, and BDC capabilities.
Drives strategic innovation across SAP and hybrid landscapes through advanced analytics, real-time decisioning, Responsible AI governance, cross-functional leadership, and hands-on technical delivery for transformative business outcomes.
Key Responsibilities:

• Architect and implement end-to-end data and AI solutions leveraging SAP BTP, including HANA Cloud, SAP Datasphere, and SAP Business Data Cloud (BDC) for scalable data orchestration and analytics.
• Experience with Joule as a copilot, with emphasis on architecting and orchestrating SAP's Data & Analytics portfolio.
• Ability to design and implement Joule-powered agents that securely invoke data residing in SAP HANA Cloud, SAP BDC/Datasphere delivering persona-specific insights and guided actions across SAP LoBs.
• Design and operationalize data products using SAP Datasphere and BDC, enabling governed data sharing, semantic modeling, and cross-platform integration with hyperscalers such as Azure, AWS, and GCP.
• Develop and deploy machine learning and GenAI solutions using SAP AI Core, SAP AI Launchpad, and external LLM services (e.g., Azure OpenAI, AWS Bedrock), ensuring seamless integration into SAP business processes.
• Build and orchestrate agentic AI workflows that automate decision-making and business processes by combining LLMs, structured SAP data, and enterprise APIs.
• Optimize SAP HANA Cloud performance for real-time analytics, predictive modeling, and AI-driven workloads, including advanced SQLScript, Knowledge Graphs, vector embeddings and processing.
• Collaborate with functional and business stakeholders to identify high-value AI/ML use cases and embed intelligent automation across SAP landscapes (S/4HANA, BW, Datasphere, etc.).
• Establish and enforce data governance, security, and compliance frameworks across SAP and non-SAP data platforms, aligning with enterprise policies and SAP best practices.

• Drive innovation by evaluating emerging SAP and hyperscaler AI capabilities (GenAI Hub, agent frameworks, vector databases, RAG tooling) and converting them into reusable blueprints, accelerators, and repeatable offerings.

• Provide technical leadership, architecture guidance, and mentorship to junior teams members, promoting best practices in AI engineering, data modeling, and cloud-native development.

What you bring

• Bachelor's or Master's degree in Computer Science, Engineering, or related field and/or 10 years of expertise in various applicable technical roles
• Proven experience as an AI architect with expertise in AI and/or SAP technologies.
• Knowledge of SAP BTP services, including SAP AI Core, SAP AI Business Services, SAP Integration Suite, and SAP Extension Suite.
• Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, Java).
• Familiarity with SAP Business AI, SAP HANA Cloud and SAP Analytics Cloud, Vector Engines, Knowledge Graphs, A2A and MCP technologies.
• Hands-on experience with AI frameworks like LangChain, LangGraph, and similar tools for building agentic workflows, RAG and GraphRAG apps, and LLM orchestration.
• Excellent problem-solving, communication, and leadership skills.
• Knowledge of data governance, AI and application security best practices.
• An AI-Powered Mindset
• Deep understanding of Generative AI & Prompt Engineering
• Strong business process acumen; ability to understand the challenges you are asked to solve

Preferred Skills:

• Hands-on experience designing, deploying, and optimizing AI solutions on SAP or hyperscaler platforms.
• Experience architecting complex, scalable AI solutions across cloud-native and enterprise environments with proven ability to adapt to SAP BTP and data platforms.

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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, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP's commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted annual combined range for this position is 151900 - 258300 (USD). The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.
AI Usage in the Recruitment Process
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Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: 446687 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 30% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid
Requisition ID: 446687
Posted Date: May 31, 2026
Work Area: Consulting and Professional Services
Career Status: Professional
Employment Type: Regular Full Time
Expected Travel: 0 - 30%
Location: