Agentic AI Architect to lead the design and development of sophisticated AI agent systems using Google Cloud Platform's Vertex AI suite. This hands-on role requires deep expertise in building autonomous AI systems that can reason, plan, and execute complex tasks using large language models and advanced orchestration frameworks. Key Responsibilities Design and implement agentic AI architectures using Google Vertex AI models (Gemini, PaLM, Codey) Develop and deploy AI agents using LangChain and Model Context Protocol (MCP) architectures Build scalable, production-ready AI systems leveraging GCP services including Vertex AI Pipelines, Matching Engine, and AI Platform Implement multi-agent systems with complex reasoning, planning, and tool-use capabilities Design and optimize vector databases and embedding systems for retrieval-augmented generation (RAG) Integrate agents with external APIs, databases, and enterprise systems Establish MLOps practices for agent deployment, monitoring, and continuous improvement. Experience Requirements 15+ years in software engineering with 5+ years focused on AI/ML systems 3+ years hands-on experience with production LLM applications Demonstrated experience building and deploying agentic AI systems Track record of architecting scalable cloud-native applications Experience leading technical teams and mentoring junior developers Education Bachelor's or Master's degree in Computer Science, AI/ML, or related technical field Preferred Relevant certifications (Google Cloud Professional ML Engineer, AI/ML specializations) preferred staffing@techjordan.com #Michiganjobs