We are looking for an Azure Systems Engineer to support and enhance a hybrid infrastructure environment in Houston, Texas. This role focuses on maintaining secure, reliable identity and server platforms while helping users and business teams stay productive. The ideal candidate brings strong experience across Microsoft technologies and can manage core systems with a proactive, service-oriented approach.<br><br>Responsibilities:<br>• Administer and optimize Active Directory and Azure Active Directory environments to support secure access and identity management.<br>• Maintain, troubleshoot, and improve Microsoft Windows Server platforms to ensure strong performance, availability, and system health.<br>• Support Citrix-based solutions by resolving technical issues, monitoring stability, and enhancing the end-user experience.<br>• Manage Microsoft Exchange environments, including configuration, maintenance, and issue resolution for messaging services.<br>• Implement system updates, patches, and configuration changes while following operational and security standards.<br>• Investigate infrastructure incidents, identify root causes, and deliver timely resolutions to minimize service disruptions.<br>• Collaborate with cross-functional teams on infrastructure improvements, platform upgrades, and environment standardization.<br>• Create and maintain clear technical documentation for system configurations, procedures, and support activities.
<p><strong>Position Summary:</strong></p><p>We are seeking an <strong>AI/ML Engineer with a focus on Generative AI</strong> to design, develop, and deploy advanced AI solutions that drive business innovation. This role will leverage large language models (LLMs), machine learning, and cloud-based AI technologies to build intelligent applications, automate workflows, and enhance data-driven decision-making.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and deploy Generative AI solutions using LLMs such as OpenAI, Claude, Gemini, or open-source models.</li><li>Build and optimize AI/ML pipelines for model training, fine-tuning, evaluation, and inference.</li><li>Develop Retrieval-Augmented Generation (RAG) architectures and integrate vector databases.</li><li>Collaborate with software engineers, data engineers, and business stakeholders to deliver AI-powered applications.</li><li>Implement prompt engineering strategies and model optimization techniques to improve performance and accuracy.</li><li>Monitor, troubleshoot, and enhance AI models in production environments.</li><li>Ensure AI solutions adhere to security, governance, and responsible AI best practices.</li></ul><p><br></p>