Sr. Solution Architect

Lenovo; North Carolina; On-site; USD 170,000 - 250,000; Full time

Job summary

Lenovo is seeking a Senior Solution Architect to lead GPU-powered, datacenter-scale AI infrastructure. You will architect platforms that power ML workloads and define deployment frameworks, while collaborating with engineering and customers to deliver production-ready solutions.

Ideal candidates bring 8+ years in datacenter systems, strong programming in Python/C++/Go, and practical ML/DL knowledge with PyTorch.

Qualifications

• BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or related field.
• 8+ years building and scaling datacenter systems (servers, networking, storage, or performance).
• Strong programming skills in Python, C/C++, Go, and systems thinking.
• Working knowledge of ML/DL concepts and frameworks (PyTorch, LangChain, Autogen).
• Proven ability to operate in fast-paced, ambiguous environments and deliver impact.

Responsibilities

• Architect end-to-end AI infrastructure solutions at rack and datacenter level.
• Define deployment frameworks, tooling, and methodologies for AI cluster bring-up and optimization.
• Drive hardware/software innovation to improve performance, scalability, and reliability.
• Partner across engineering, product, and customers to deliver production-ready AI solutions.
• Influence solution strategy through hands-on design, benchmarking, and customer engagement.

Skills

Python

C/C++

Go

Machine learning concepts

PyTorch

Education

BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or related field

Tools

PyTorch

LangChain

Autogen

Job description

We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a global technology company serving millions of customers in 180 markets with a broad portfolio across AI-enabled devices, infrastructure, software, and services. Join us at the forefront of AI innovation as a Senior Solution Architect to help lead the charge in GPU-powered, datacenter-scale infrastructure.

Overview

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 will shape how compute, networking, and storage converge at scale, directly influencing product direction, engineering strategy, and customer success.

What You’ll Do

• Architect end-to-end AI infrastructure solutions at the rack and datacenter level, integrating GPU compute, high-performance networking, and scalable storage
• Define and implement deployment frameworks, tooling, and methodologies for AI cluster bring-up, performance optimization, and lifecycle management
• Drive innovation across hardware and software to enhance performance, scalability, manageability, and reliability of AI platforms
• Partner cross-functionally with engineering, product, and customers to deliver world-class, production-ready AI solutions
• Influence solution strategy through hands-on design, benchmarking, and real-world customer engagement

What You Bring

• BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field
• 8+ years building and scaling datacenter systems (server, networking, storage, or performance engineering)
• Strong programming skills (Python, C/C++, Go, or similar) and systems-level thinking
• Working 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 solutions

Preferred Qualifications

• PhD in Computer Science, Engineering, or related discipline
• Experience designing and deploying AI infrastructure in production environments
• Deep understanding of the AI hardware/software stack (GPUs, CPUs, networking, ML runtimes and libraries)
• Track record of innovation, research, or publications in relevant domains
• Strong communication and leadership skills with the ability to influence across teams

Why This Role

• Build at scale: Design infrastructure powering next-gen AI workloads
• Own impact: Directly influence product direction and customer outcomes
• Innovate daily: Work on complex challenges at the intersection of hardware, software, and AI
• Grow fast: Be part of a team shaping the future of AI infrastructure

We are an Equal Opportunity Employer and do not discriminatorily treat any applicant or employee on the basis of race, color, sex, age, religion, sexual orientation, gender identity, national origin, veteran status, disability, or any federal, state, or local protected class.