Technical Execution - BTP AI Team

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Location: This position is open to any SAP office location.

About the Team

The Global Services BTP leadership is creating a new AI team focusing on driving adoption and consumption of the BTP platform through the sourcing, design, and execution of customer AI proof of concepts. This team will work in close collaboration throughout the organization to help craft the set of SAP Best Practices for AI development within and around BTP.

Our (current) motto is: Inspire, Innovate, Implement: AI on BTP. We will inspire customers on the art of the possible with AI and SAP, we will innovate new techniques, technologies, and methodologies to bring them to life and we will manifest our vision into reality through POCs.

We are looking to hire an end-to-end team starting with a set of functional architects, who are business process experts to isolate and identify the value of new AI driven processes across multiple industries. Secondly, we are hiring a deeply capable technical team of experts in data strategy, data science, python, vectorization and knowledge graphs, BTP functionalities (Datasphere, SAP Build, CPI, UX, AI collaboration Hub, AI API Hub, etc), ML, AI training and more. Lastly, the team will require a Program Manager to project manage the various POCs, internal team initiatives and share GTM responsibilities with the team leader.

While all roles will have their unique technical and functional aptitudes, the best candidates for this team will be insatiably curious, have unbounded creativity, a deep desire to teach and learn and a passion for sharing our stories with our customers, partners, and SAP colleagues. Each team member must be willing to receive and GIVE feedback to the team to maximize knowledge transfer, lessons learned and best practice development.

What We are looking for

The BTP AI team will require a mixture of resources to cover the full stack of technologies to facilitate successful Proofs of Concepts. Each candidate must demonstrate strong technical aptitude in a minimum of one domain with secondary knowledge in others. Our platforms and technologies change quickly so a clear demonstration of your flexibility, learning and ability to execute will be critical to your success. The below is a list of Job Roles that are necessary from the team. Senior team members should be able to conduct multiple Job Roles. As demand improves, additional specific resources will be hired to fill areas identified as bottlenecks. All roles must have experience with the latest Generative AI LLMs. If you satisfy one or more of these roles, please apply.

• Role: Develops machine learning models and algorithms, processes data, and implements AI solutions. Experience in training SAP, custom, 3P or open source AI models.
• Skills: Proficiency in programming languages (Python, R), knowledge of ML frameworks (TensorFlow, PyTorch), data preprocessing, model training and evaluation.

Data Scientist:

• Role: Analyzes and interprets complex data to provide insights, builds predictive models, and helps in the decision-making process.
• Skills: Statistical analysis, data visualization, machine learning, proficiency in data science tools (Jupyter, Pandas), and strong analytical thinking.

Data/Integration Engineer:

• Role: Manages and organizes data infrastructure, ensuring data is available, clean, and accessible for analysis. The goal is to centralize this function into Datasphere as much as possible but TBD.
• Skills: ETL processes, database management, data pipeline construction, knowledge of big data technologies. Datasphere/BW experience is a plus.

AI Solutions Architect:

• Role: Designs AI system reference architectures fitting common patterns in use cases. Design a composable framework of functionality for maximal reusability. Defines and ensure highest quality in publishing BTP AI Best Practices both internally and externally. Presents to various internal communities and potentially SAP Insider events.
• Skills: System design, knowledge of cloud services, understanding of AI/ML lifecycle, and experience with microservices and APIs. Full understanding of SAP AI framework and how to integrate with classical AI approaches, open source and public assets.
• Role: Designs intuitive and user-friendly interfaces for AI applications, ensuring a positive user experience leveraging SAP Build.
• Skills: User experience design, user interface design, prototyping tools, and user research.

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