Data and Applied Scientist Specialist/Expert

What You Bring

• 14+ years in Data Science, AI/ML, Generative AI, and Enterprise Architecture with a track record delivering production‐grade LLM solutions.
• Degree in Computer Science, AI, Data Science, Engineering, or related field; PhD preferred for research‐intensive profiles.
• Technical expertise:
• AI/ML: Deep learning, LLMs, Generative AI/foundation models, NLP/conversational AI, predictive analytics, recommendation systems; reinforcement learning (preferred).
• LLM & GenAI: Prompt engineering/optimization, RAG, AI agents/multi‐agent systems, embeddings/semantic search, fine‐tuning/adaptation, model evaluation/guardrails, LLMOps and observability.
• Frameworks & Tools: LangChain, LlamaIndex, Semantic Kernel, Hugging Face, OpenAI APIs; vector databases (Pinecone, Weaviate, ChromaDB, FAISS); TensorFlow, PyTorch, scikit‐learn.
• Architecture & Platforms: Enterprise/solution architecture, distributed systems, microservices/APIs, cloud AI (AWS, Azure, GCP, SAP BTP), Kubernetes/Docker, CI/CD for AI.
• Programming & Data: Python, SQL, R; Spark/Databricks; data engineering and big‐data ecosystems.
• Preferred:
• Publications, patents, open‐source contributions, innovation/incubator or R&D experience.
• Hands‐on in GenAI transformation, enterprise search, copilots, or autonomous agents.
• Strong understanding of Responsible AI, governance, and AI security.
• Core strengths:
• Strategic, innovation‐driven mindset; excellent problem‐solving.
• Clear communication and executive‐level storytelling.
• Influence across senior leadership and customers; commitment to continuous learning.
• Success measures:
• Scalable AI/LLM solutions in production with measurable business impact.
• Innovation outcomes (adoption, reusability), research/patent contributions.
• Platform maturity: governance, reliability, cost/perf efficiency.
• Team capability growth and mentorship outcomes.
• Where You Belong
• Join SAP’s PCP Cross Technology and Architecture unit—part of Private Cloud Products—driving technologies that empower innovation in business and for people.
• Be part of a dynamic, mission‐driven team using AI to enable seamless interactions between individuals and information.