onsite
Azure AI Engineer
AI Engineer
Design, develop, and deploy AI‑driven search solutions on Azure using AKS, ARM templates, and modern Agile practices, delivering scalable, secure services for enterprise customers.
About the role
Key Responsibilities
- Architect and implement AI Search services on Azure, leveraging Azure Cognitive Search and custom machine‑learning models.
- Build, configure, and manage containerized workloads using Azure Kubernetes Service (AKS) and infrastructure‑as‑code with ARM templates.
- Collaborate with product owners and cross‑functional teams in Agile Scrum ceremonies to define requirements, prioritize backlogs, and deliver increments.
- Optimize performance, cost, and security of AI solutions, implementing monitoring, logging, and automated scaling.
- Provide technical guidance and mentorship to junior engineers, ensuring best practices in code quality, CI/CD pipelines, and cloud governance.
Requirements
- 3+ years of hands‑on experience with Azure services, especially Azure Cognitive Search, AKS, and ARM templates.
- Proficiency in Python (or comparable language) for building AI/ML pipelines and integrating with Azure services.
- Strong understanding of container orchestration, micro‑services architecture, and DevOps practices (CI/CD, IaC).
- Experience working in Agile Scrum environments, with excellent communication and teamwork skills.
- Solid grasp of security, networking, and cost‑optimization strategies in Azure.