Job Description
SAP is searching for a Chief AI Expert to develop and implement its internal AI strategy across Software-Development Operations from its office in Bangalore. The role requires the creation of enterprise-level AI systems which will support two main objectives: developing Agentic AI technologies and creating AI-based systems that enhance productivity.
The position requires the leader to manage AI governance practices and develop vendor relationships and oversee the creation of multi-agent platforms while guiding AI developers and experts.
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Main Duties
- Define and execute SAP’s internal AI strategy and long-term roadmap.
- Identify and prioritize high-impact AI use cases across productivity platforms.
- Establish AI operating models including governance, standards, and playbooks.
- Architect and deliver multi-agent platforms and autonomous workflows.
- Lead evaluation and partnerships for foundation models and cloud AI services.
- Mentor AI Experts and Developers while remaining hands-on with coding and prototyping.
- Drive responsible AI governance including risk, privacy, and security frameworks.
- Enable AI-driven change management and enterprise adoption.
Essential Qualifications:
- Bachelor’s or Master’s degree in Computer Science or related discipline.
- Must have more than 15 years of experience in technology and product development and data management positions.
- Candidates must have spent more than five years working directly with Artificial Intelligence technology.
- Possesses a solid understanding of GenAI technology and LLMs and transformers and RAG systems and fine-tuning methods.
- Have Enterprise Architecture expertise for AI systems which includes API, microservices and security components.
- Worked with distributed computing systems which include Databricks (PySpark/Scala) technologies.
- Individuals excel at executive communication while demonstrating proficiency in developing strategic plans.
Preferred Qualifications:
- Demonstrate advanced programming abilities through their proficiency in Python programming language.
- Possess practical knowledge through their experience of working with TensorFlow, PyTorch and scikit-learn.
- Specialized knowledge of multi-agent systems through their work with LangGraph, AutoGen, CrewAI, LlamaIndex and Semantic Kernel.
- Expertise in both DevOps and MLOps operational procedures.
- Experience in patents, open-source contributions, or AI thought leadership initiatives.