Responsibilities
- Own end-to-end reference infrastructure architecture for AI workloads across on-premises servers, public cloud, and GPU environments.
- Define workload placement and portability frameworks covering data gravity, sovereignty, latency, accelerator availability, cost, and re-engineering constraints.
- Chair design reviews, maintain architecture decision records, establish standards and guardrails, and approve significant AI platform designs.
- Design hybrid networking, federated identity, access models, cross-environment data architectures, private endpoints, replication, and residency controls.
- Build total-cost and unit-economics models comparing owned GPU capacity with cloud consumption and support buy-versus-build decisions.
- Advise and mentor software engineers, data scientists, ML engineers, platform engineers, product managers, security teams, and fellow architects.
- Embed security, compliance, resilience, and disaster-recovery patterns into platform architecture and drive architecture alignment across sites.
Requirements
- Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field; an advanced degree is preferred.
- 10+ years of experience in software, infrastructure, or platform engineering, including at least 3 years in a dedicated architecture or solution architecture role and 3 years working on data, cloud, or AI/ML platforms or workloads.
- Demonstrated ownership of enterprise-scale hybrid or multi-cloud architectures spanning on-premises and public cloud environments from design through adoption.
- Deep expertise in at least one of AWS, Azure, or GCP, working knowledge of a second, and practical experience with on-premises and private cloud infrastructure.
- Strong experience with hybrid networking, including dedicated interconnects, transit and routing, DNS, private service endpoints, hybrid identity, and federation models.
- Experience designing cross-environment data architectures involving storage tiering, replication, caching, residency, and sovereignty constraints.
- Hands-on fluency with infrastructure-as-code and automation tools such as Terraform, Ansible, and Kubernetes tooling, plus working proficiency in Python.
- Track record of developing capacity and total-cost models for engineering, finance, and executive stakeholders.
- Strong architecture documentation, decision-record, communication, consensus-building, and stakeholder-influence skills.
- Recognized architecture certification such as AWS, Azure, or Google Professional Cloud Architect, TOGAF, or equivalent is a bonus.
- Familiarity with VMware, OpenShift, Nutanix, Azure Stack, AWS Outposts, observability and FinOps tooling, regulated environments, open-source infrastructure or ML tooling, and architecture publications or conference talks is a bonus.
Benefits
- Private medical insurance, income protection, life insurance, and an attractive pension scheme.
- Strong focus on work-life balance, learning, and development.
- Lenovo and Motorola product discounts, lifestyle discounts, holiday purchase, cycle-to-work, gym discounts, mortgage advice, financial wellbeing support, and an employee referral bonus.
- Hybrid working model with a 3:2 arrangement.
Tech Stack
Categories
About Lenovo
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. Guided by its vision of “Smarter Technology for All”, Lenovo is executing a Hybrid AI strategy that spans Personal AI – one personal AI, multiple devices; and Enterprise AI – helping customers turn data into insights and value. This strategy is delivered through the Group’s commitment to world-class innovation and a full-stack AI portfolio, including devices (PCs, workstations, smartphones, tablets, accessories), infrastructure solutions (server, storage, edge, high performance computing and software defined infrastructure), as well as software, solutions, and services. With a global footprint spanning 21 research and development locations in 11 markets, and a global supply chain including more than 30 manufacturing sites across 10 markets, Lenovo is widely recognized for its operational excellence, including ranking #8 in the Gartner Supply Chain Top 25. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). To find out more visit https://www.lenovo.com, and read about the latest news via our StoryHub at https://news.lenovo.com/. To learn more about our career opportunities, visit our careers page at http://jobs.lenovo.com/.