> Markdown version of [/jobs/ext/3990267-agentic-ai-architect](https://www.wearedevelopers.com/jobs/ext/3990267-agentic-ai-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Agentic AI Architect - **Company:** GREETINGS FROM, LLC - **Location:** United States (Remote available) - **Contract:** Contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Engineering, Databases, Continuous Integration, Python (Programming Language), Performance Tuning, OpenAI, Enterprise Search, Microsoft Agent Framework, Enterprise Software Applications, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Agentic-AI, Kubernetes, Deployment Automation, Bicep, Virtual Agents, Invoking Functions, Restful APIs, Terraform, Semantic Kernel, Serverless Computing, Docker - **Published:** October 28, 2026 - **Apply:** https://www.dice.com/job-detail/8eaf0a11-1bd8-4f11-a65f-045a338b78a5 ## About the Role * Strong experience in Agentic AI, Generative AI, LLMs, and multi-agent systems. * Hands-on experience with Azure AI Foundry, Azure OpenAI, and Azure AI Search. * Expertise in Python, RAG, prompt engineering, and AI agent orchestration. * Experience with Semantic Kernel, LangGraph, LangChain, or similar agent frameworks. * Knowledge of MCP, REST APIs, Azure Functions, and cloud-native architecture. * Experience with Azure security, CI/CD, Docker, Kubernetes, and production AI deployments. Preferred Qualifications * Experience implementing enterprise AI solutions in production. * Knowledge of Azure DevOps, Terraform/Bicep, AI governance, and responsible AI practices. * Strong architectural, communication, and technical leadership skills. ## Description We are seeking an experienced Agentic AI Architect with strong expertise in Microsoft Azure, Generative AI, and autonomous AI agents to design and implement scalable, enterprise-grade AI solutions., * Design and develop Agentic AI and multi-agent architectures using Azure cloud services. * Build AI solutions using Azure AI Foundry, Azure OpenAI, and AI agent frameworks. * Implement RAG pipelines using Azure AI Search, vector databases, and enterprise data sources. * Develop AI agents using Python, Semantic Kernel, LangGraph, LangChain, or Microsoft Agent Framework. * Integrate AI agents with enterprise applications, APIs, databases, and external tools using MCP and function calling. * Implement AI security, governance, monitoring, guardrails, and human-in-the-loop workflows. * Lead solution architecture, technical design, deployment, and performance optimization.