SAP Chief Architect - SAP AI Core / Generative Hub 

Japan, Ota 

606300996

Your tasks will include:

• Architect and Design AI Core Features: Lead the end-to-end architecture of AI solutions and platforms, ensuring scalability, security, and high performance.
• Drive Innovation: Lead the evaluation, design, and integration of cutting-edge AI technologies, with a focus on generative AI, machine learning, and cloud-native architectures
• Collaborate Across Teams: Work closely with cross-functional teams including developers, DevOps engineers, and AI researchers to create a unified technical vision and drive high-impact projects.
• Optimize System Performance: Ensure that systems are optimized for large-scale data processing, AI workloads, and high availability.
• Mentor and Inspire Teams: Provide technical leadership, mentoring junior engineers, and driving best practices for software architecture and full stack development.
• Strategize Future Growth: Work with Product Leaders and management to align technical strategies with business goals, identifying expansion opportunities
• Oversee Quality and Security: Ensure that systems meet the highest standards for security, performance, and scalability. Lead code reviews, architecture audits, and system evaluations.
• Explore, understand, and implement most recent technologies and approaches for enhancing the value and adoption of AICore.

What you bring

• Degree in Computer Science, Engineering, or related fields. Master’s degree preferred.
• 10+ years of experience in software development and architecture, with a focus on cloud-based AI solutions.
• Strong experience leading teams and architecting complex systems with real-world AI applications.
• Proficiency in programming languages such as Python, Go, or JavaScript.
• Strong expertise in hyperscaler platforms such as AWS, Azure, and GCP.
• Deep understanding of DevOps practices, including CI/CD, as well as container technologies like Docker and Kubernetes. Additionally, familiarity with Cloud Native technology stack such as Istio, Helm, Argo, and Envoy is essential.
• Foundation in AI and machine learning model integration, particularly in generative AI and large language models (LLMs).
• Experience with secure Software Development Life Cycle (SDLC), Threat Modeling, vulnerability management, and knowledge of industry best practices.
• Experience with observability tools such as Dynatrace, Grafana, and Prometheus.
• Proven track record in technical leadership, mentoring, and collaboration across global, distributed teams.
• Ability to tackle complex architectural problems and deliver innovative solutions under tight deadlines.

Nice to have:

• Experience in developing AI tools or frameworks, especially in enterprise contexts.
• Exposure to Generative AI and build SAP Embedded AI solutions
• Knowledge of AI ethics and data privacy in AI deployments
• Familiar with AIOps

We win with inclusion

Successful candidates might be required to undergo a background verification with an external vendor.