Senior Ai Resident Architect

Description:

TKMiND is a market-leading ICT solutions and services company with operations in Egypt, the UAE, Saudi Arabia, Singapore, and the UK. With a broad portfolio of licensed and cloud-based products and solutions, TKMiND helps clients compete effectively, improve business operations, and deliver impactful customer experiences. The company is dedicated to fostering long-lasting business relationships that drive customer success and aims to help organizations thrive in dynamic market conditions through digital transformation.

Role Description

This is a full-time on-site role for highly skilled and experienced Senior AI Resident Architect to lead our advanced AI projects at customer premise, focusing on the integration and optimization of AI technologies within our infrastructure in particular NVIDIA GPUs. This role requires deep expertise in Azure Cognitive Services, parameter performance tuning, CUDA, GPU tuning and a strong understanding of data security and infrastructure. The ideal candidate will have good understanding of all hyper-scalar AI platforms (Bedrock, Vertex, Azure Services/OpenAI.

Key Responsibilities:

• AI Architecture Design: Lead the design and implementation of AI-driven solutions, leveraging Azure Cognitive Services and other AI frameworks to meet complex business needs.
• Performance Optimization: Optimize AI models and infrastructure for maximum efficiency using tools such as CUDA, NVIDIA NeMo, and Run.ai (or similar products) Ensure low-latency and high-throughput performance in AI operations.
• Cloud Integration: Architect and deploy AI solutions within cloud environments, particularly on Microsoft Azure. Ensure seamless integration with other cloud services and on-premises systems.
• End-to-End AI Solution Development: Oversee the full AI development lifecycle, from data ingestion and model training to deployment and monitoring. Use tools like Base Command Manager for streamlined AI operations.
• Infrastructure Management: Design and manage HPC infrastructure to support AI workloads. Ensure scalability, reliability, and security in all AI deployments.
• Data Security: Implement best practices in data security, ensuring compliance with industry standards and regulations. Work closely with the security team to safeguard AI data pipelines.
• Collaboration: Work cross-functionally with data scientists, engineers, and product teams to align AI initiatives with business objectives. Mentor junior architects and engineers.

Qualifications

• Must have 5+ years experience in AI/ML Architecture.
• Good to have Azure Solutions Architect AI-102 or DP-100
• Good to have NVIDIA Cuda Developer, Certified Data Scientist, Certified Professional for AI and Deep Learning.