Senior Technical Solutions Architect – AI/GPU

🕒 February 6

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Akamai Technologies

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🔒 Cybersecurity

🏢 Enterprise

📱 Media

Cybersecurity • Enterprise • Media

Akamai Technologies is a global edge platform and cloud services company that delivers content delivery, edge computing, and security solutions. The company operates one of the world’s largest distributed networks to accelerate and protect web, media, and application traffic, offering products for content delivery, DDoS protection, API and app security, bot management, edge compute (serverless/edge functions), and AI inference at the edge. Akamai also provides enterprise-focused security services (zero trust, identity and access management, secure internet access) and cloud/AI infrastructure tools, and has recently expanded capabilities through acquisitions (for example LayerX) to add browser-based AI usage control.

📋 Description

• Contributing a critical role in the sales lifecycle as a deep technical expert and strategic partner • Assisting AI/GPU-focused solutions across Asia, working closely with Cloud Sales leadership and account sales teams to drive high-impact opportunities • Designing for customers and build AI inference platforms from the ground up • Facilitating them through architectural decisions, prototyping/PoCs, and position Akamai/Linode as a key enabler of their AI journey • Acting as a thought leader in AI infrastructure both internally and externally influencing customers, partners, and product direction

🎯 Requirements

• 6+ years of experience in cloud, infrastructure, or distributed systems, with good customer-facing experience in presales or consulting role • Possess deep hands-on experience in AI/ML systems, designing and deploying AI inference systems (LLMs, CV, or recommendation models) • Demonstrate good expertise in GPU-based infrastructure including GPU workload optimization, distributed inference and scaling strategies and familiarity with modern GPU stacks • Have solid experience with cloud-native architectures in Kubernetes and container orchestration for AI workloads and Infrastructure as Code (Terraform or similar) • Demonstrate working knowledge in Networking, storage, and high-performance computing concepts, data pipelines and streaming architectures • Be an excellent communicator to translate complex AI/ML concepts into business value and present to both technical and executive audiences

🏖️ Benefits

• Your health • Your finances • Your family • Your time at work • Your time pursuing other endeavors