Igor Stojanovic
Aws Ec2, Head of Ai Platform Engineering - Gpu-accelerated Instances @Amazon Web Services (AWS)
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WORK HISTORY
Aws Ec2, Head of Ai Platform Engineering - Gpu-accelerated Instances @Amazon Web Services (AWS)
Berlin, DE
Selected to lead AWS\'s AI GPU-accelerated platforms following sustained delivery of mission-critical enterprise systems at global scale. Hold direct Amazon Board accountability through monthly executive reporting on 800K+ GPU fleet performance, availability posture, and strategic actions ensuring reliability across AWS\'s highest-growth infrastructure business and AWS\'s most demanding AI customers.Own the engineering strategy and execution for AWS EC2’s hardware-accelerated P-instance portfolio, powering frontier AI training and production inference for enterprise, government, and research customers globally.Drive irreversible platform architecture decisions for next-generation GPU and accelerator infrastructure, balancing power, cooling, silicon roadmaps, security, and cost across a multi-billion-dollar business.Define and deliver the multi-year AI/ML compute roadmap supporting GPT-scale, multimodal, and HPC workloads, meeting AWS-grade availability and compliance.Shape AWS\'s cross-vendor accelerator ecosystem (NVIDIA, AMD), including benchmarking, fleet-wide validation standards, and hardware-software co-optimization maximizing price-performance and deployment readiness.
EDUCATION
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
VII/1 (ISCED 7), Master of Electrical Engineering, Computer Science
MIT Sloan School of Management
Master of Business Administration - MBA
Microsoft Student Partner
Microsoft Student Partner
SKILLS
ABOUT IGOR STOJANOVIC
AI is moving from data centers to the physical world, autonomous vehicles, robotics, intelligent machines, where reliability isn\'t a metric, it\'s a safety imperative. I lead engineering for AWS EC2 AI Deep Learning GPU-accelerated platforms, shaping technical strategy and execution for next-generation GPU platforms powering the world\'s most demanding AI/ML workloads, including real-time inference for autonomous systems and safety-critical applications. My scope spans platform architecture, hardware-software integration, and operational excellence 24/7 across fleet of 800K GPU\'s, AWS\'s fastest-growing, multi-billion-dollar compute segment.I hold an Executive MBA from MIT Sloan, connecting deep technology decisions with economics, capital allocation, and long-term strategy.My focus: decisions that compound. Integrating next-generation accelerator platforms (NVIDIA, AMD), scaling GPU fleets under real-world constraints (power, cooling, supply chains, security), and ensuring AWS remains the most reliable foundation for production AI.Before AWS, I spent over a decade leading large-scale, regulated technology transformations across the GCC at Ooredoo Group and Nokia Siemens Networks, owning $1.3B technology portfolios, influencing technologists across multi-country operations. That experience shaped how I lead: culturally fluent, disciplined around capital allocation, effective where safety and compliance are non-negotiable.Impact:→ Scaled teams of 40+ engineers across multiple continents; promoted 16 engineers and 2 managers at AWS→ Delivered $400M+ in net-new free cash flow→ Own platforms enabling breakthrough AI while maintaining safety-critical operational excellence
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