Agentic AI Architect
GREETINGS FROM, LLC
United States
3 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
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
+18 more
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
Job 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.
Requirements
- 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.
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Apply on www.dice.com
Prepare application
- Draft this with your agent
- Open in Claude
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