Our Mission: Cloud-only AI is hitting real limits—cost, latency, privacy, and scale. We’re building the next generation of Hybrid Collaboration AI systems, where local AI and cloud AI collaborate as one. This role is about defining how AI workloads are intelligently planned, routed, and executed across environments. If you want to shape the architecture that moves AI beyond cloud-only constraints, this role sits right at the center. Build the hybrid AI collaboration layer connecting local AI and cloud AI. Design dynamic orchestration for planning, routing, and execution. Optimize AI workflows for latency, cost, privacy, and reliability. Enable agent-based systems with local planning and hybrid execution. Partner with product, systems, and runtime teams to ship production-ready platforms. Engage with industry-leading AI providers for co-engineering. Work with internal engineering teams and external partners, customers, and ISVs to deliver optimized AI solutions using Intel products. Research technical trends and utilize deep domain and market segment expertise to prototype solutions and develop AI software to enable hybrid collaboration AI. Optimize performance of AI models through deep knowledge and expertise of AI frameworks, algorithms, models, and related hardware. Research, develop, and adjust new or existing AI models, code, parameters, and/or quantization to address issues and modify operations to enhance hybrid performance. Partner with AI algorithm and framework engineers as needed to optimize end-to-end AI models to Intel hardware features. Serve as a trusted technical advisor and provide technical enabling. Partner with Intel software and hardware product development teams to accelerate and optimize future products in AI and HPC domains. Deliver competitive and differentiated benchmark collateral and identify and drive key workloads into product requirements and architect innovative projection methodologies and tools.