Back to Jobs
Recently postedRemoteTechnology

Agentic AI Architect

SightSpectrum LLCUnited States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeRemote
LocationUnited States
DockerPythonTerraformGenerative AIRESTAzureKubernetesPrompt EngineeringCI/CDAzure DevOpsLangChainLangGraphRAG

Job description

Hi There,

Greetings from Sightspectrum LLC..!!

I hope you doing well, Please find the below job description if you're comfortable share me your updated resume and contact details asap.

Title: Agentic AI Architect

Location: Remote

Duration: Long Term

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.

Key Responsibilities

  • 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.

Required Skills

  • 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.

Similar jobs