Development Architect (f/m/d) - AI Foundation Model Training and Serving

Key Highlights

• Drive technical architecture and design topics of the AI training, evaluation, and serving stack within the open platform for industries – partnering with the lead Platform Architect on cross-cutting design
• Architect distributed and federated training infrastructure: cluster orchestration, parallelism strategies, checkpointing, fault tolerance, and secure aggregation across customer data sites
• Design the model lifecycle: fine-tuning, post-training, evaluation and benchmarking pipelines, model registries
• Architect inference and serving for industrial scale: multi-tenant deployment, dynamic batching, KV caching, quantization, and latency/cost trade-offs across cloud and on-prem environments
• Ensure secure, policy-compliant handling of proprietary industrial datasets and models – authentication, lineage, provenance, licensing metadata, and data residency for federated training