[Hiring] Senior AI Engineer – Azure (Enterprise AI & Secure Systems) @Xlysi

Role Description

We are seeking a highly skilled AI Engineer with deep expertise in Microsoft Azure AI ecosystem, who has hands-on experience collaborating with Infrastructure and Information Security (InfoSec) teams. The ideal candidate will drive the design, development, and deployment of secure, scalable AI-powered applications and intelligent widgets across enterprise environments.

• Design, develop, and deploy AI/ML solutions using Azure services such as Azure OpenAI, Azure ML, Cognitive Services, and AI Studio.
• Build and integrate AI-powered applications, copilots, and widgets into enterprise platforms.
• Collaborate closely with Infrastructure teams to ensure scalability, performance, and cloud optimization.
• Partner with InfoSec teams to ensure AI solutions comply with security, governance, and regulatory standards.
• Implement secure AI architectures, including data protection, identity management, and access controls.
• Develop APIs and microservices for AI model integration into business applications.
• Optimize model performance, cost, and latency in production environments.
• Establish MLOps pipelines for continuous integration, deployment, monitoring, and retraining of models.
• Ensure responsible AI practices including data privacy, bias mitigation, and auditability.
• Provide technical leadership and mentor junior engineers.

Qualifications

• Strong experience with Microsoft Azure AI stack (Azure OpenAI, Azure ML, Cognitive Services).
• Proficiency in Python and frameworks like FastAPI, Flask, or similar.
• Experience in building LLM-based applications, prompt engineering, and RAG architectures.
• Hands-on experience working with Infrastructure teams (cloud architecture, networking, containers, Kubernetes).
• Strong exposure to InfoSec practices (IAM, encryption, secure coding, compliance frameworks).
• Experience with API development, microservices, and distributed systems.
• Familiarity with DevOps/MLOps tools (CI/CD pipelines, Docker, Kubernetes, GitHub Actions, Azure DevOps).
• Solid understanding of data engineering concepts and databases (SQL/NoSQL).

Preferred Qualifications

• Experience with enterprise AI adoption and governance frameworks.
• Knowledge of Zero Trust Architecture and cloud security best practices.
• Exposure to multi-cloud or hybrid cloud environments.
• Experience building chatbots, copilots, or AI-driven UI widgets.

Company Description

Xlysi LLC, Expert Portal Solutions

251 Milwaukee Ave, Buffalo Grove, IL 60089

Web: http://www.xlysi.com

E-mail: [email protected]

Our training portal registration: http://xlysi.catsone.com/careers/index.php?m=portal&a=apply&jobOrderID=345179&portalID=2106