Job Title: GenAI / Cloud Solution Architect
Location: Italy
Employment Type: Permanent, Full‑Time

Role Summary

We are looking for an experienced GenAI / Cloud Solution Architect to lead the design and delivery of innovative AI-driven solutions across cloud, infrastructure, and telecom environments. The ideal candidate will have strong expertise in Generative AI, AWS AI/ML, Azure Cloud Services, DevOps, and Cloud Architecture, with the ability to design end-to-end enterprise solutions that align with business and technology objectives.

Key Responsibilities:

• Design and architect scalable Generative AI, AI/ML, and cloud-native solutions using AWS and Azure platforms.
• Provide end-to-end solution design with full-stack visibility across applications, infrastructure, automation, databases, and security.
• Evaluate, recommend, and implement emerging technologies, tools, and platforms to meet business requirements.
• Drive DevOps practices, CI/CD automation, containerization, orchestration, and infrastructure-as-code initiatives.




• Manage and optimize enterprise environments based on Linux (RHEL), virtualization technologies, and cloud infrastructure.
• Collaborate with global engineering, R&D;, and cross-functional teams to deliver high-quality solutions and business commitments.
• Support architecture governance, technical reviews, and best practice adoption across projects.
• Contribute to internal knowledge repositories, technical communities, and innovation programs.

Required Skills:

• Strong expertise in Generative AI, AWS AI/ML, Azure Cloud Services, and DevOps.
• Proven experience designing and integrating complex enterprise systems across multiple platforms.
• Hands-on experience with RHEL Linux, virtualization, container orchestration (Docker/Kubernetes), and automation frameworks.
• Strong understanding of networking concepts, including SS7, SIP, Diameter, IP Networking Protocols, and OSI Model.
• Experience with cloud architecture, infrastructure automa

📌 GenAI / Cloud Solution Architect (Milano)
🏢 HCLTech
📍 Milano