Solution Advisor Specialist

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. Your Role As a Data Analytics & Artificial Intelligence (AI) Solution Advisor, you will be responsible for guiding customers through the process of understanding, selecting, and implementing solutions that meet their business needs. You will leverage your expertise in artificial intelligence and machine learning to provide strategic advice, identify opportunities for AI integration, and ensure successful deployment of AI technologies. You will work along with a team of energizing Data Analytics -AI Solution Advisors, Business Architects, AI Developers, Data Experts, Full-stack Developers to drive AI use‐case identification via ideation workshops, and delivery agile MVP (minimal viable prototyping) to bring the innovation to live Outcome of the engagements can lead to product/content creation for SAP. What you'll do Client Needs Assessment: Conduct detailed consultations with customers to understand their business challenges, goals, and requirements. Gather and analyze client data to identify key areas where AI solutions can add value. Feasibility Analysis: Evaluate the feasibility of proposed AI solutions based on technical, financial, and operational criteria. Conduct risk assessments to identify potential obstacles and mitigation strategies. Solution Design: Collaborate with customers and internal teams to design AI solutions tailored to specific business needs. Develop detailed solution architectures, including data pipelines, model selection, and integration points. Create technical specifications and documentation for the proposed solutions. Prototyping and Proof of Concept (PoC): Develop prototypes and PoCs to demonstrate the viability and effectiveness of proposed AI solutions. Conduct experiments and tests to validate the performance of AI models and algorithms. Gather feedback from customers and stakeholders to refine and improve the prototypes. Data Preparation: Work with customers to collect, clean, and preprocess data required for AI model training and evaluation. Ensure data quality and integrity by implementing data validation and transformation processes. Model Development: Select appropriate machine learning algorithms and techniques based on the problem domain and data characteristics. Train, validate, and fine‐tune AI models to achieve optimal performance. Implement feature engineering and selection to enhance model accuracy and efficiency. Solution Integration: Collaborate with software developers and IT teams to integrate AI models into existing systems and workflows. Develop APIs and interfaces for seamless interaction between AI solutions and client applications. Ensure scalability, security, and reliability of the integrated solutions. Push the frontiers of what is possible in artificial intelligence to create new solutions. Explore, understand, and implement most recent technologies and approaches for cloud platform and data pipelines. Understand business processes which create and consume data to be able to select best approaches, evaluate their performance and assess business relevance. Build scalable and re‐usable data processing pipelines. Create excellence both in terms of results quality and system scalability through continuous evaluation, analysis, and refinement of the system implementation. Work closely with the team, customers, and partners to holistically understand business and user requirements and derive adequate application development concepts. Ability to work in global teams with different time zones. Immerse yourself quickly into new topics, terminology, and development tasks. What you bring Educational and experience requirements Required Degree in Computer Science or related field At least 3 to 7 years of working experience as a software developer, preferably in AI‐focused cloud/container application development. A solid foundation in computer science, with strong competencies in algorithms, data structures, objects‐oriented programming, design patterns, multi‐threaded programming, and software design principles Strong coding development and debugging skills, including hands‐on experience with Java, Go, and Python Hands‐on experience in developing REST APIs using frameworks such as Spring, Flask, FastAPI, etc. Experience working with DevOps including but not limited to container technologies like Docker & Kubernetes, as well as Cloud Native technology stack Experience with cloud‐based application development using platforms such as SAP's business technology platform, AWS, Azure & GCP Good understanding of DataBricks features and use‐cases Familiar with Agile/Scrum methodologies Excellent written and communication skills in English language Optional Familiar with LLM and supporting tools such as LangChain. Familiar with AIOps Good understanding on AI Agentic framework Proficient in Knowledge Graphs and Vector Experience in serving Deep Learning models on framework TensorFlow, PyTorch, XGBoost etc Passionate in documentation and sharing of artifacts/knowledge built Have experience in SAP related technologies, not limiting to, SAP Business AI, SAP Business Technology Platform, SAP Business Data Cloud, SAP ABAP Knowledgeable in Sustainability topics, namely ESG reporting, Scope 1, Scope 2, and Scope 3Meet your team About SAP Business Data Cloud Advisory team Our Innovative and Technical Solutions Team is dedicated to delivering cutting‐edge, customized solutions that address the unique challenges and needs of our customers. We combine deep technical expertise with a passion for innovation to help our customers achieve their business objectives and stay ahead in a rapidly evolving technological landscape. Your future team Artificial Intelligence are the current hot discussion points by the SAP customers. Based in Singapore, you will have the opportunity to work on breakthrough projects addressing real‐world problems, challenging norms with some of the SAP's key customers. #SAPAICareers Equal Opportunity To harness the power of innovation, SAP invests in the development of its diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company. SAP is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical and/or mental disabilities. If you 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: Successful candidates might be required to undergo a background verification with an external vendor. 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. 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. 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: | Work Area: Presales | Expected Travel: 0 - 30% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid #J-18808-Ljbffr