Design and own the overall AI architecture, including model training pipelines, inference systems, data flows, and platform components
Lead technical strategy and solution design for large‑scale AI initiatives, including LLMs, multimodal models, knowledge systems, and intelligent agents
Architect and optimize model training, fine‑tuning (e.g., LoRA, QLoRA), evaluation, deployment, and monitoring workflows
Build and maintain MLOps infrastructure, including CI/CD pipelines, model registries, feature stores, and observability systems
Collaborate with product, engineering, and data teams to translate business requirements into scalable AI solutions
Evaluate and integrate emerging AI technologies such as RAG, vector databases, model compression, inference acceleration, and AIGC
Ensure AI systems comply with security, privacy, governance, and ethical standards
Provide technical leadership, mentorship, and architectural guidance to engineering and data science teams
Drive continuous improvement in AI system performance, cost efficiency, and reliability
