We are looking for a Specialist IT - System Architect (AI) who is highly skilled in Azure services (Azure AI, Machine Learning, Automation) to architect and deploy cloud solutions integrating AI and automation. The role involves developing AI models, optimizing processes, ensuring security compliance, and collaborating with cross-functional teams. Proficiency in Python, C#, JavaScript, and experience with DevOps tools (CI/CD, Azure DevOps, Jenkins, Git), containerization (Docker, Kubernetes), and databases (SQL, NoSQL) are required. Strong analytical skills, excellent communication, and the ability to convey complex AI concepts to non-technical stakeholders are essential.
Job Responsibilities:
• Architect and deploy Azure-based cloud solutions integrating AI and automation.
• Develop AI models and automation workflows to optimize processes and decision-making.
• Ensure adherence to security best practices and compliance requirements.
• Collaborate with cross-functional teams to understand requirements and deliver solutions.
• Monitor and optimize performance, scalability, and cost-efficiency of cloud solutions.
• Maintain comprehensive documentation and stay updated with the latest advancements
• Strong analytical and problem-solving skills, with the ability to translate business requirements into effective AI solutions.
• Excellent communication skills, with the ability to convey complex AI technical concepts to non-technical stakeholders.
Qualifications: Bachelor's /Higher degree with 15+ Years of exp, 10+Years relevant exp with expertise in Cloud native development, Azure AI services and Architecting cloud solutions.Skills:
• Proficiency in Azure services (Azure AI, Azure Machine Learning, Azure Automation).
• Strong understanding of AI and machine learning concepts.
• Experience with automation tools and frameworks.
• Knowledge of security best practices and compliance standards.
• Programming Languages: Proficiency in languages such as Python, C#, and JavaScript.
• DevOps Tools: Experience with CI/CD pipelines, Azure DevOps, Jenkins, and Git.
• Containerization: Knowledge of Docker and Kubernetes.
• Database Management: Experience with SQL and NoSQL databases.
• Monitoring and Logging: Familiarity with tools like Azure Monitor, Log Analytics, and Application Insights.