At least 7 years of experience in AI/ML engineering or production deployment, including experience with deployment pipelines, monitoring, feature stores, vector databases, drift detection, observability, data quality, cloud-native platforms, and Kubernetes. At least 7 years of experience developing or leading AI solutions, including experience with Generative AI, LLMs, SLMs, RAG, multimodal AI, knowledge graphs, prompt engineering, agentic workflows, evaluation, AI safety, and hallucination mitigation.