Verified Job
Engineering - Architecture
Lenovo Sr. Solution Architect
Engineering - Architecture
#802793
Remote / WFH
Lenovo
Job Description
Job highlights
Identified by Google from the original job post
Qualifications
Proven experience designing, deploying, or scaling datacenter technologies, including servers, networking, storage, distributed systems, or performance engineering
Strong software development and systems engineering expertise with proficiency in languages such as Python, C/C++, Go, or similar programming languages
Solid understanding of AI, machine learning, and deep learning technologies, including experience with frameworks such as PyTorch, LangChain, Autogen, or related ecosystems
Responsibilities
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
Shape the Future of AI Infrastructure Architect and deliver next-generation AI infrastructure solutions at rack and datacenter scale, integrating cutting-edge GPU compute, high-performance networking, and scalable storage technologies that power some of the world's most demanding AI workloads
Drive End-to-End AI Platform Innovation Lead the design, deployment, and optimization of AI clusters, developing automation frameworks, operational best practices, and scalable solutions that accelerate customer adoption and business growth
Build World-Class Infrastructure at Scale Drive continuous improvements in performance, reliability, scalability, and operational efficiency across complex hardware and software environments
Partner with Industry Leaders Collaborate closely with engineering, product management, and strategic customers to design, validate, and deploy production-ready AI infrastructure solutions that solve real-world business challenges
Influence Technology Strategy Combine hands-on technical leadership with customer engagement, benchmarking, performance analysis, and ecosystem collaboration to help define the next generation of AI infrastructure solutions
Create Lasting Impact Work at the forefront of AI and cloud innovation, helping customers unlock new capabilities through advanced datacenter and accelerated computing technologies
Job description
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 #153 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. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
Join 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.
Job Responsibilities
• Shape the Future of AI Infrastructure Architect and deliver next-generation AI infrastructure solutions at rack and datacenter scale, integrating cutting-edge GPU compute, high-performance networking, and scalable storage technologies that power some of the world's most demanding AI workloads.
• Drive End-to-End AI Platform Innovation Lead the design, deployment, and optimization of AI clusters, developing automation frameworks, operational best practices, and scalable solutions that accelerate customer adoption and business growth.
• Build World-Class Infrastructure at Scale Drive continuous improvements in performance, reliability, scalability, and operational efficiency across complex hardware and software environments.
• Partner with Industry Leaders Collaborate closely with engineering, product management, and strategic customers to design, validate, and deploy production-ready AI infrastructure solutions that solve real-world business challenges.
• Influence Technology Strategy Combine hands-on technical leadership with customer engagement, benchmarking, performance analysis, and ecosystem collaboration to help define the next generation of AI infrastructure solutions.
• Create Lasting Impact Work at the forefront of AI and cloud innovation, helping customers unlock new capabilities through advanced datacenter and accelerated computing technologies.
Basic Requirements
• Proven experience designing, deploying, or scaling datacenter technologies, including servers, networking, storage, distributed systems, or performance engineering.
• Strong software development and systems engineering expertise with proficiency in languages such as Python, C/C++, Go, or similar programming languages.
• Solid understanding of AI, machine learning, and deep learning technologies, including experience with frameworks such as PyTorch, LangChain, Autogen, or related ecosystems.
Preferred Requirements
• Demonstrated success solving large-scale technical challenges and delivering innovative solutions in fast-paced, evolving environments.
• Strong knowledge of AI infrastructure architectures, including GPUs, CPUs, networking fabrics, storage technologies, runtimes, and supporting software stacks.
• Experience designing, deploying, or operating production-scale AI infrastructure is highly valued.
• Track record of technical leadership, innovation, research contributions, publications, patents, or other notable achievements within AI, infrastructure, or systems engineering.
• Exceptional communication and collaboration skills, with the ability to influence technical direction and drive alignment across diverse teams and stakeholders.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, ****** orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
Identified by Google from the original job post
Qualifications
Proven experience designing, deploying, or scaling datacenter technologies, including servers, networking, storage, distributed systems, or performance engineering
Strong software development and systems engineering expertise with proficiency in languages such as Python, C/C++, Go, or similar programming languages
Solid understanding of AI, machine learning, and deep learning technologies, including experience with frameworks such as PyTorch, LangChain, Autogen, or related ecosystems
Responsibilities
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
Shape the Future of AI Infrastructure Architect and deliver next-generation AI infrastructure solutions at rack and datacenter scale, integrating cutting-edge GPU compute, high-performance networking, and scalable storage technologies that power some of the world's most demanding AI workloads
Drive End-to-End AI Platform Innovation Lead the design, deployment, and optimization of AI clusters, developing automation frameworks, operational best practices, and scalable solutions that accelerate customer adoption and business growth
Build World-Class Infrastructure at Scale Drive continuous improvements in performance, reliability, scalability, and operational efficiency across complex hardware and software environments
Partner with Industry Leaders Collaborate closely with engineering, product management, and strategic customers to design, validate, and deploy production-ready AI infrastructure solutions that solve real-world business challenges
Influence Technology Strategy Combine hands-on technical leadership with customer engagement, benchmarking, performance analysis, and ecosystem collaboration to help define the next generation of AI infrastructure solutions
Create Lasting Impact Work at the forefront of AI and cloud innovation, helping customers unlock new capabilities through advanced datacenter and accelerated computing technologies
Job description
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 #153 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. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
Join 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.
Job Responsibilities
• Shape the Future of AI Infrastructure Architect and deliver next-generation AI infrastructure solutions at rack and datacenter scale, integrating cutting-edge GPU compute, high-performance networking, and scalable storage technologies that power some of the world's most demanding AI workloads.
• Drive End-to-End AI Platform Innovation Lead the design, deployment, and optimization of AI clusters, developing automation frameworks, operational best practices, and scalable solutions that accelerate customer adoption and business growth.
• Build World-Class Infrastructure at Scale Drive continuous improvements in performance, reliability, scalability, and operational efficiency across complex hardware and software environments.
• Partner with Industry Leaders Collaborate closely with engineering, product management, and strategic customers to design, validate, and deploy production-ready AI infrastructure solutions that solve real-world business challenges.
• Influence Technology Strategy Combine hands-on technical leadership with customer engagement, benchmarking, performance analysis, and ecosystem collaboration to help define the next generation of AI infrastructure solutions.
• Create Lasting Impact Work at the forefront of AI and cloud innovation, helping customers unlock new capabilities through advanced datacenter and accelerated computing technologies.
Basic Requirements
• Proven experience designing, deploying, or scaling datacenter technologies, including servers, networking, storage, distributed systems, or performance engineering.
• Strong software development and systems engineering expertise with proficiency in languages such as Python, C/C++, Go, or similar programming languages.
• Solid understanding of AI, machine learning, and deep learning technologies, including experience with frameworks such as PyTorch, LangChain, Autogen, or related ecosystems.
Preferred Requirements
• Demonstrated success solving large-scale technical challenges and delivering innovative solutions in fast-paced, evolving environments.
• Strong knowledge of AI infrastructure architectures, including GPUs, CPUs, networking fabrics, storage technologies, runtimes, and supporting software stacks.
• Experience designing, deploying, or operating production-scale AI infrastructure is highly valued.
• Track record of technical leadership, innovation, research contributions, publications, patents, or other notable achievements within AI, infrastructure, or systems engineering.
• Exceptional communication and collaboration skills, with the ability to influence technical direction and drive alignment across diverse teams and stakeholders.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, ****** orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
