Azure AI Architect

As the recruitment firm DCG, we understand that every company relies on experienced professionals. Our management style and partnership approach allow us to meet our clients' needs and provide them with constant support. Due to our continuous growth and the large number of recruitment projects carried out for our partners, we are currently looking for: Azure AI Architect

Daily tasks

• Designing and implementing native cloud solutions in the field of data and artificial intelligence (AI) using Microsoft Azure services
• Managing Azure-based environments and developing them to ensure high performance, security, and scalability
• Collaborating with business stakeholders and technical teams to translate requirements into robust and innovative cloud solutions
• Integrating AI and data solutions with Azure, Microsoft 365, Dynamics 365, and third-party systems
• Automating the deployment, monitoring, and scaling of cloud workloads using Infrastructure as Code and DevOps best practices
• Promoting operational excellence, security, and compliance with regulatory requirements in all processes related to cloud engineering
• Effective communication, both oral and written, with IT staff, management, and users
• Continuous development of own skills and supporting team development by utilizing the support of the wider PwC network

Requirements

Requirements: Higher education (Bachelor's/Engineer or Master's) in Computer Science, Engineering, or a related field; relevant certifications, e.g., Azure Solutions Architect or Azure Data Engineer, will be an additional asset Minimum 5 years of experience in designing, implementing, and managing native cloud solutions in the Microsoft Azure environment Documented experience working with Azure AI services, data platforms, and automation tools Knowledge of scripting and programming languages, e.g., PowerShell, Python, Bash Experience with the Infrastructure as Code approach, e.g., ARM Templates, Bicep, Terraform, and with CI/CD processes Very good knowledge of security principles, compliance, and operational best practices regarding cloud environments and AI workloads Excellent communication skills allowing for effective explanation of technical decisions to a wide range of stakeholders Experience working in agile, interdisciplinary teams and on the implementation of complex, large-scale projects Very good command of English, both spoken and written (C1)

Must have: Azure, AI, Python/Bash, IaC