Senior DevOps Engineer - Azure AI Agents & IaC

About the role

Efforts Solutions IT is looking for a Senior DevOps Engineer specialising in Azure infrastructure and Infrastructure as Code (IaC) to manage, secure, automate and optimise an enterprise-grade Azure Data & AI platform. The company runs a growing portfolio of AI agents in production, several built by external delivery partners, and you will review, improve and extend them, and build new secure, observable agents on Azure.

The position reports to the AI & Data Manager. It is initially remote, with potential onsite relocation to Abu Dhabi, UAE.

Key responsibilities

• Review partner deliverables end to end: requirements, architecture, code, prompts and deployed resources.
• Check that deployed solutions match their approved design across environments.
• Assess agent quality: reasoning versus scripted logic, tool design, guardrails, human-in-the-loop and error handling.
• Refactor and enhance existing agents for quality, cost and performance.
• Design and build new agents and multi-agent workflows on Azure AI Foundry and Microsoft Agent Framework.
• Build retrieval and document-processing solutions with Azure AI Search and Document Intelligence.
• Integrate agents with enterprise systems via Microsoft Graph, Teams, Logic Apps, Functions and APIs.
• Set up evaluation, tracing and guardrails, including prompt-injection defence and data-privacy controls.

Required profile

• 6+ years in software or ML engineering, including 2+ years shipping LLM / agentic applications to production.
• Proven experience reviewing third-party architectures and code, with structured, prioritised findings.
• Track record of remediating and redeploying production AI agents.
• Experience building reusable agent templates or shared components.
• LLM evaluation harnesses, observability and AI security practices.

Required skills

• Strong Python and API design; able to read and fix others' code quickly.
• Azure AI stack: Azure OpenAI, AI Foundry, AI Search, Document Intelligence.
• Agent frameworks: Microsoft Agent Framework / Semantic Kernel, LangChain / LangGraph; tool calling and MCP.
• Azure integration services: Functions, Logic Apps, App Service, Cosmos DB, Key Vault, managed identity.
• Preferred: Microsoft Graph and Teams app development, Azure AI Engineer (AI-102) certification.