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.