Sr. Solution Architect

Senior Solution ArchitectJoin us at the forefront of AI innovation. We're redefining what's possible with GPU-powered, datacenter-scale infrastructure—and we're looking for a Senior Solution Architect to help lead the charge.In this high-impact role, you will architect next-generation AI platforms that power cutting-edge machine learning and deep learning workloads across a rapidly growing Cloud Service Provider ecosystem. You'll shape how compute, networking, and storage converge at scale—directly influencing product direction, engineering strategy, and customer success.If you're energized by solving complex, systems-level challenges and want your work to drive real-world AI breakthroughs, this is where you belong.What You'll DoArchitect end-to-end AI infrastructure solutions at the rack and datacenter level, integrating GPU compute, high-performance networking, and scalable storageDefine and implement deployment frameworks, tooling, and methodologies for AI cluster bring-up, performance optimization, and lifecycle managementDrive innovation across hardware and software to enhance performance, scalability, manageability, and reliability of AI platformsPartner cross-functionally with engineering, product, and customers to deliver world-class, production-ready AI solutionsInfluence solution strategy through hands-on design, benchmarking, and real-world customer engagementWhat You BringBS/MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field8+ years building and scaling datacenter systems (server, networking, storage, or performance engineering)Strong programming skills (Python, C/C++, Go, or similar) and systems-level thinkingWorking knowledge of machine learning / deep learning concepts and modern frameworks (e.g., PyTorch, LangChain, Autogen)Proven ability to operate in fast-paced, ambiguous environments and deliver impactful solutionsPreferred QualificationsPhD in Computer Science, Engineering, or related disciplineExperience designing and deploying AI infrastructure in production environmentsDeep understanding of the AI hardware/software stack (GPUs, CPUs, networking, ML runtimes and libraries)Track record of innovation, research, or publications in relevant domainsStrong communication and leadership skills with the ability to influence across teamsWhy This RoleBuild at scale: Design infrastructure powering next-gen AI workloadsOwn impact: Directly influence product direction and customer outcomesInnovate daily: Work on complex challenges at the intersection of hardware, software, and AIGrow fast: Be part of a team shaping the future of AI infrastructureWe are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.We are Lenovo.

We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere.