Senior DevOps Engineer Azure Platform IaC
Summary
Senior engineer to review, remediate, and extend AI agents built by external partners and build new agentic solutions on an enterprise Azure Data & AI platform, using Azure AI Foundry, Azure OpenAI, AI Search, Python, and agent frameworks like LangGraph. Remote initially, with potential onsite relocation to Abu Dhabi.
Job Description:
Company: Efforts Solutions IT
Job Location: Remote Initially | Abu Dhabi, UAE (Potential Onsite Relocation)
Experience: 6+ Years (Including 3+ Years in Azure Production Environments)
Reporting To: AI & Data Manager
About the Opportunity
Efforts Solutions IT is looking for an experienced Senior DevOps Engineer – Azure Platform & Infrastructure as Code (IaC) to manage, secure, automate, and optimise an enterprise-grade Azure Data & AI platform.
We run a growing portfolio of AI agents in production, several built by external delivery partners. You will
review these solutions, improve and extend them, and build new agents on Azure that are secure,
observable and genuinely agentic.
Key responsibilities
- 1 Review partner deliverables end to end: requirements, architecture, code, prompts and deployed resources.
- 2 Check that deployed solutions match their approved design across environments.
- 3 Assess agent quality: reasoning vs scripted logic, tool design, guardrails, human-in-the-loop and error handling.
- 4 Refactor and enhance existing agents for quality, cost and performance.
- 5 Design and build new agents and multi-agent workflows on Azure AI Foundry and Microsoft Agent Framework.
- 6 Build retrieval and document-processing solutions with Azure AI Search and Document Intelligence.
- 7 Integrate agents with enterprise systems via Microsoft Graph, Teams, Logic Apps, Functions and APIs.
- 8 Set up evaluation, tracing and guardrails, including prompt-injection defence and data-privacy controls.
Work scope
- Review existing AI agent solutions built by partners: design, code, prompts and deployed resources.
- Remediate and enhance priority agents for quality, security, cost and performance.
- Design and build new AI agents on Azure.
- Introduce evaluation, tracing and guardrail practices.
Required qualifications
- 6+ years in software or ML engineering, including 2+ years shipping LLM / agentic applications to production.
- Strong Python and API design; able to read and fix others' code quickly.
- Hands-on 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.
- Proven experience reviewing third-party architectures and code, with structured, prioritised findings.
- Track record remediating and redeploying production AI agents.
- Experience building reusable agent templates or shared components.
- LLM evaluation harnesses, observability and AI security practices.
Preferred
- Microsoft Graph and Teams app development.
- Azure AI Engineer (AI-102) certification.
Tools
Azure AI Foundry Azure OpenAI Microsoft Agent Framework LangGraph Azure AI Search Document Intelligence Functions Logic Apps Cosmos DB Azure DevOps Python
Requirements: