Senior Azure AI Engineer

Job Title: Senior Azure AI Engineer
Job Location: Houston, TX
Job Duration: 12+ Months (Contract)
Interview Mode: Virtual
Experience: 10+ Years Preferred

Job Description

We are seeking an experienced, hands-on Senior Azure AI Engineer to design, develop, and deploy enterprise-scale AI solutions using Microsoft Azure. The ideal candidate will have strong Python development experience, expertise in Azure AI Foundry and Microsoft Copilot Studio, and practical experience building AI applications using LangChain and LangGraph.

Key Responsibilities:

• Design, develop, and implement enterprise AI solutions using Azure AI Foundry, Azure OpenAI, and related Azure services.
• Build and maintain scalable AI applications, including conversational AI, intelligent copilots, and AI-powered enterprise solutions.
• Develop AI applications using Python, LangChain, and LangGraph, including multi-step workflows and agent-based architectures.
• Implement and integrate Microsoft Copilot Studio solutions within enterprise environments.
• Establish reusable AI platform components, development frameworks, reference architectures, and engineering best practices.
• Manage the AI application lifecycle, including model integration, deployment, monitoring, optimization, and ongoing support.
• Integrate AI solutions with enterprise applications, APIs, and data platforms.
• Implement security controls, identity management, access permissions, and compliance requirements across Azure AI environments.
• Collaborate with engineering, architecture, product, and business teams to deliver scalable AI solutions.
• Provide technical guidance, troubleshoot complex issues, and contribute to enterprise AI adoption.

Must-Have Skills:

• Strong hands-on Python development experience.
• Practical experience with Azure AI Foundry, including AI application development, model integration, and deployment.
• Experience with Azure OpenAI Service and relevant Azure cloud services.
• Hands-on experience implementing Microsoft Copilot Studio solutions.
• Experience developing LLM-powered applications using LangChain.
• Working knowledge of LangGraph, including stateful workflows, agent orchestration, and multi-step AI processes.
• Strong understanding of enterprise AI architecture, API integrations, and scalable application design.
• Experience with Azure identity management, authentication, authorization, and security best practices.
• Experience delivering production-grade AI applications in large enterprise environments.
• Strong problem-solving skills and the ability to work independently as a senior hands-on engineer.

Nice-to-Have Skills:

• Experience building enterprise AI platforms or AI Foundry environments from the ground up.
• Experience with Retrieval-Augmented Generation (RAG), vector databases, and enterprise knowledge integration.
• Familiarity with Azure AI Search, Azure Functions, Azure Kubernetes Service, and Azure DevOps.
• Experience with CI/CD pipelines, automated deployment, and monitoring of AI applications.
• Experience developing multi-agent AI systems and advanced orchestration workflows.
• Experience in consulting or large enterprise transformation projects.
• Oil and gas or energy industry experience.
• Strong communication skills and experience mentoring engineering teams.