Azure Agentic AI Engineer
US client via staffing partner · Remote
- Location
- Remote · Remote
- Salary band
- Band not stated
- Type
- Contract
- Level
- Senior
- Work authorization
- Not stated
Stack
Azure AI · LangGraph · LangChain · MCP · RAG · Python · DeepEval · RAGAS · OpenTelemetry · Azure Functions · Azure API Management · OAuth · Docker · AKS · Terraform · GitHub CI/CD · GitLab CI/CD · REST APIs · Microservices · AI Governance
About the role
Job Title: Azure Agentic AI Engineer Location: Remote Type: Contract JD:- We are looking for a Azure Agentic AI expert skilled in LangGraph/ LangChain, MCP, multi-agent workflows, RAG, Python, AI evaluation, observability, and enterprise AI governance. Key Responsibilities - Design and develop Agentic AI and multi-agent solutions using Azure AI and Azure-native GenAI services. - Build agent workflows and orchestration using LangGraph, LangChain and/or Strands. - Implement MCP (Model Context Protocol) integrations connecting AI agents with enterprise applications, APIs and data sources. - Design and implement enterprise RAG and knowledge retrieval solutions on Azure. - Establish AI evaluation frameworks using DeepEval, RAGAS and Azure-native evaluation capabilities. - Implement AgentOps, tracing, monitoring and observability using OpenTelemetry and Azure-native services. - Develop scalable integrations using Azure Functions, API Management, REST APIs and event-driven architectures. - Implement secure identity and access patterns using Azure IAM, OAuth and OBO. - Deploy containerised AI workloads using Docker, Azure Container Registry and AKS. - Build automated infrastructure and delivery pipelines using Terraform/Azure-native IaC and GitHub/GitLab CI/CD. - Establish AI governance, guardrails and agent lifecycle management for enterprise deployments. Required Skills - Strong hands-on experience with Azure AI / Azure-native GenAI platforms - Agent frameworks: LangGraph, LangChain, Strands - Agentic AI and multi-agent workflow orchestration - MCP integrations - RAG and enterprise knowledge solutions - Python and REST APIs - DeepEval, RAGAS and AI evaluation - OpenTelemetry and AI/Agent observability - Azure Functions and Azure API Management - Azure identity, OAuth/OBO and security - Docker, ACR and AKS - Terraform and/or Azure-native IaC - GitHub/GitLab CI/CD - Microservices and event-driven architecture - AI governance, guardrails and agent lifecycle management Preferred - Relevant Azure AI or Azure Architecture certification - Experience delivering secure, scalable enterprise Agentic AI solutions into production.
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