Job Description
AMD is seeking a Senior IT Engineer to design and maintain AI business solutions using Microsoft Azure, Azure OpenAI, and Copilot Studio. The role involves building intelligent automation with Power Platform and agentic AI frameworks while integrating AI agents with APIs and data systems to deliver secure, scalable cloud-based AI solutions.
Experience: 5+ years
Apply: Apply Now
Main Duties
- Create artificial intelligence solutions which utilize Azure Copilot Studio, Azure OpenAI, Power Automate, and additional artificial intelligence services to boost work output and operational effectiveness.
- Build agentic artificial intelligence systems which they will operate through Python, LangGraph, LangChain, and MCP servers to handle multi-agent operations and automated tasks.
- Establish AI agents within corporate networks by connecting through APIs and internal data links and various auxiliary systems.
- Operate Azure cloud platforms to protect security while enabling system monitoring, log management, and continuous service delivery of artificial intelligence operations.
- Implement DevOps standards through their work with CI/CD pipelines, version control systems, testing procedures, deployment automation tools, and documentation processes.
Essential Qualifications
- Extensive expertise in IT engineering, software development and cloud engineering work environments.
- Experience with Azure cloud services which includes working with Azure OpenAI and Microsoft AI platforms.
- Python programming skills which enable him to create automation tools, APIs and AI-based software applications.
- Agentic AI frameworks which include LangGraph, LangChain and their associated ecosystems.
- Knowledge about REST APIs and authentication systems which include OAuth and Azure Active Directory and enterprise integration patterns.
- Strong analytical abilities and system architecture expertise which enable him to create scalable AI solutions.
Preferred Skills
- Experience implementing or managing MCP servers for advanced AI orchestration.
- Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG) systems.
- Exposure to MLOps practices, prompt engineering, and optimization of large language model applications.
- Azure or Microsoft Power Platform certifications supporting enterprise AI development.
- Experience working with globally distributed technical teams on large-scale enterprise technology projects.
- Strong documentation, collaboration, and communication skills for cross-functional AI initiatives.