Advisory Engineer, Infra

Why Work at Lenovo

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

Lenovo is a US $69 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. 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  , and read about the latest news via our Story Hub .

This role is open for the Edinburgh, Scotland location only. Candidates must be based there, as the position requires working from the office at least three days per week (3:2 hybrid policy).

The Lenovo AI Technology Center (LATC)—Lenovo’s global AI Center of Excellence is driving our transformation into an AI-first organization. We are assembling a world-class team of researchers, engineers, and innovators to position Lenovo and its customers at the forefront of the generational shift toward AI. Lenovo is one of the world’s leading computing companies, delivering products across the entire technology spectrum, spanning wearables, smartphones (Motorola), laptops (Think Pad, Yoga), PCs, workstations, servers, and services/solutions.

This unmatched breadth gives us a unique canvas for AI innovation, including the ability to rapidly deploy cutting-edge foundation models and to enable flexible, hybrid-cloud, and agentic computing across our full product portfolio. To this end, we are building the next wave of AI core technologies and platforms that leverage and evolve with the fast-moving AI ecosystem, including novel model and agentic orchestration & collaboration across mobile, edge, and cloud resources.

This space is evolving fast and so are we. If you’re ready to shape AI at a truly global scale, with products that touch every corner of life and work, there’s no better time to join us.

Lenovo is seeking a highly skilled AI Infrastructure Engineer / AI Operations Engineer to join our growing team. This critical role will focus on designing, building, and maintaining the infrastructure and tools necessary for efficient AI model development, deployment, and operation. Your expertise will enable our data scientists and engineers to focus on high-priority tasks while ensuring seamless operation of AI models in production.

If you are passionate about making Smarter Technology For All, come help us realize our Hybrid AI vision!

• AI Infrastructure Design and Implementation:
  Design, build, and maintain scalable and efficient AI infrastructure, including compute resources, storage solutions, and networking configurations.
• AI Model Deployment and Management:
  Develop and implement processes for deploying, monitoring, and managing AI models in production environments.
• Automation and Tooling:
  Create and maintain automation scripts and tools for AI model training, testing, evaluation, and deployment in a continuous integration / continuous delivery (CI/CD) pipeline.
• Collaboration and Support:
  Work closely with data scientists, engineers, and other stakeholders to ensure smooth operation of AI systems and provide support as needed.
• Performance Optimization:
  Continuously monitor and optimize AI infrastructure and models for performance, scalability, utilization, and reliability.
• Security and Compliance:
  Ensure AI infrastructure and models comply with relevant security and regulatory requirements.

• Bachelor's or Master's degree in Computer Engineering,…