AI-ML Engineer MCP-Agentic

Design, develop, and implement secure AI/ML systems hosted on-premises, covering model training, inference, and data pipelines. Lead multi-agent orchestration for autonomous decision-making and task delegation within on-prem security workflows. Develop ML models for threat detection, anomaly detection, and behavioral analysis, ensuring AI safety, interpretability, and alignment. Define and enforce AI observability, monitoring, and MLOps best practices for on-prem deployments. Integrate AI tools into existing on-prem security workflows and incident response systems, ensuring compliance with air-gapped and regulatory requirements. Collaborate with the IT Architecture team to balance the needs of development and delivery to meet service requirements.