Description
We are seeking a Solution Architect specializing in Artificial Intelligence and Cloud Solutions to join our dynamic team. In this pivotal role, you will be instrumental in guiding clients through their infrastructure modernization journey. You will collaborate directly with technical and business stakeholders to architect and implement secure, scalable, and resilient cloud architectures tailored for AI workloads and mission-critical applications. This position requires deep expertise in accelerating AI and cloud adoption, particularly for compute-intensive and HPC workloads on GPU-accelerated platforms. Your strong networking knowledge will be crucial for designing hybrid and cloud-native solutions that meet stringent enterprise performance and compliance standards. As a key technical advisor, you will align technology with business objectives, develop architectural roadmaps, and leverage a rich partner ecosystem to deliver optimized and secure solutions. Staying abreast of emerging technologies, like Generative AI, you will continuously enhance and innovate our offerings, driving technical sales and ensuring successful deployments.
Requirements
1. A minimum of 6 years of experience in technical consulting, solution architecture, or infrastructure engineering.
2. At least 4 years of hands-on experience designing, migrating, and managing cloud, hybrid, or on-premises infrastructures (e.g., Azure, GCP, Oracle, VMware).
3. Proven expertise in designing GPU-enabled architectures for AI/ML and High-Performance Computing (HPC) workloads.
4. Hands-on proficiency with containerization and orchestration technologies, including Kubernetes and associated platforms.
5. Demonstrated experience with AI/ML workflows and APIs from platforms such as OpenAI, Azure AI, and Hugging Face.
6. Deep knowledge of enterprise networking, including InfiniBand, and security architectures within cloud and hybrid contexts (e.g., VNETs, VPNs, secure routing).
7. Experience creating technical documentation, solution blueprints, and contributing to proposal development for complex ICT projects.
8. A Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field.
Desirable
1. Professional certifications in enterprise architecture (e.g., TOGAF).
2. NVIDIA Certified Professional (NCP) Solution Architect or similar GPU-related certifications.
3. AI/ML-specific certifications such as TensorFlow Developer, Azure AI Engineer, or from the NVIDIA Deep Learning Institute.
4. Experience working within or for clients in telecom, government, or other highly regulated industries.
5. Familiarity with regional and global ICT compliance standards and data protection regulations (e.g., GDPR, HIPAA).
Role Highlights
💼 Work Location Type
Onsite
🏢 Department
Information Technology
🏭 Industry
Technology, Information & Media
🔹 Sub-Industry
Software Development