Agentic AI Architect

Define the technical blueprint for scalable, autonomous AI systems across the enterprise. Integrate Agentic frameworks with LLMOps pipelines, ensuring robustness, compliance, and continuous optimization at scale.

Requirements

• Architect multi-agent ecosystems and tool orchestration frameworks using LangChain, OpenAI Agents SDK, or Google ADK.
• Design system-level LLMOps and MLOps frameworks (model lifecycle, retraining, observability, feedback loops).
• Establish CI/CD, monitoring, and scalability strategies for AI microservices.
• Define model optimization pipelines (quantization, distillation, pruning, caching).
• Integrate MLflow and Vertex AI for experiment tracking and production deployment.
• Drive cloud infrastructure strategy — compute scaling, GPU optimization, container orchestration.
• Ensure AI safety, interpretability, and compliance across models and agents.