Senior Data Scientist is sought to lead the architecture, design, and implementation of Agentic AI capabilities for Department of Defense digital modernization initiatives. The role serves as the technical lead responsible for developing AI-enabled solutions that operate across Microsoft Azure, Amazon Web Services, Google Cloud Platform, and on-premises environments while maintaining strict security and compliance requirements for IL5 environments. This hybrid position requires residence within commuting distance of North Charleston, South Carolina. Responsibilities include AI architecture and strategy; leading the development of Agentic AI with multi-agent systems, orchestration frameworks, autonomous task planning, tool execution, agent collaboration, workflow automation, multi-agent reasoning, Retrieval-Augmented Generation (RAG), and enterprise knowledge management; and designing portable AI architectures across cloud and on-premises platforms. Experience with frameworks such as Semantic Kernel, AutoGen, LangGraph, LangChain, CrewAI, and similar agent orchestration platforms is preferred. The role covers multi-cloud and hybrid cloud engineering (Azure, AWS, GCP, Azure Arc, AKS, EKS, GKE), Kubernetes and container platforms (Kubernetes, Docker, Helm, GitOps), and secure deployments across classified and unclassified environments. AI model deployment focuses on production inference environments using Hugging Face, vLLM, Text Generation Inference (TGI), and open-weight LLMs, with attention to performance, scalability, latency, and cost. Data science scope includes predicti

Senior Data Scientist is sought to lead the architecture, design, and implementation of Agentic AI capabilities for Department of Defense digital modernization initiatives. The role serves as the technical lead responsible for developing AI-enabled solutions that operate across Microsoft Azure, Amazon Web Services, Google Cloud Platform, and on-premises environments while maintaining strict security and compliance requirements for IL5 environments. This hybrid position requires residence within commuting distance of North Charleston, South Carolina. Responsibilities include AI architecture and strategy; leading the development of Agentic AI with multi-agent systems, orchestration frameworks, autonomous task planning, tool execution, agent collaboration, workflow automation, multi-agent reasoning, Retrieval-Augmented Generation (RAG), and enterprise knowledge management; and designing portable AI architectures across cloud and on-premises platforms. Experience with frameworks such as Semantic Kernel, AutoGen, LangGraph, LangChain, CrewAI, and similar agent orchestration platforms is preferred. The role covers multi-cloud and hybrid cloud engineering (Azure, AWS, GCP, Azure Arc, AKS, EKS, GKE), Kubernetes and container platforms (Kubernetes, Docker, Helm, GitOps), and secure deployments across classified and unclassified environments. AI model deployment focuses on production inference environments using Hugging Face, vLLM, Text Generation Inference (TGI), and open-weight LLMs, with attention to performance, scalability, latency, and cost. Data science scope includes predicti