SAP Architect - Docker Kubernetes-SAP AI Core/ Generative Hub 

Germany, Baden-Württemberg 

920999202

What You'll Do

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.
• Sound experience leading teams and architecting complex systems with real-world AI applications.
• Strong expertise in cloud-native platforms (AWS, Azure, GCP) and AI technologies.
• Hands-on experience with containerization (Docker, Kubernetes), microservices, and SAP Business Technology Platform.
• Proficiency in programming languages such as Python, Go, or JavaScript
• Deep understanding of DevOps practices, including CI/CD, automation, and orchestration tools like Jenkins, Helm, Istio, and Argo
• Foundation in AI and machine learning model integration, particularly generative AI, and large language models (LLMs)
• 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

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We win with inclusion

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