Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 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).
To find out more visit www.lenovo.com and read about the latest news via our StoryHub. Description and Requirements
Position Description:
Lenovo is seeking an experienced Artificial Intelligence (AI) Solutions Architect who will play a key role in supporting the development and deployment of AI-related service offerings, including Professional and Managed Services.
The chosen candidate will be part of Lenovo Solutions & Services Group (SSG) as a member of the Center of Excellence team, driving service offering design and definition for our Professional Services, Managed Services, and TruScale Services businesses.
• This role is primarily internal but includes some customer-facing work.
• This is a remote-only role.
In this role you will:
• Support the development and delivery of AI service offerings for enterprise, research, and government customers.
• Work with leading enterprises, research institutions, and cloud providers to integrate customer and market requirements into AI service offerings and technology roadmaps.
• Architect full-stack AI infrastructure solutions, including compute, networking, storage, security, and model lifecycle management components, to support AI workloads.
• Demonstrate expertise in AI and machine learning (ML) technologies, including deep learning frameworks (TensorFlow, PyTorch), data pipelines, model training, inferencing, and MLOps.
• Leverage experience with on-premises, hybrid, and cloud-based AI environments, optimizing model training and deployment strategies.
• Work across internal teams, divisions, and external partners to develop and deliver innovative AI solutions that drive business and research advancements.
• Demonstrate strong written and verbal communication skills, with the ability to present AI solutions to customers, internal stakeholders, and partners.
• Drive strategic relationships with AI-driven enterprises, research institutions, cloud service providers (CSPs), and technology partners.
• Act as the technical lead for AI-based infrastructure solutions, collaborating with the AI Practice leader throughout the service offering lifecycle, including:
o Assisting in the creation of new AI service offerings, from concept development to implementation guidance.
o Leading initial implementations alongside Technical Consultants.
• Deliver presentations in support of:
o Offering development and go-to-market strategies.
o Field enablement and training initiatives.
o Service delivery execution.
• Assist in documentation of project requirements, statements of work, and service descriptions.
• Collaborate with business partners to enhance AI solution capabilities and integration.
Qualifications:
• Bachelor's degree, MBA, or equivalent experience required.
• 7+ years of experience architecting and deploying AI/ML solutions.
• Minimum of 5+ years of experience working with at least one cloud platform (AWS, Azure, GCP) or on-premises AI infrastructure.
• Proven expertise in designing, developing, and delivering large-scale AI/ML platforms and solutions.
• Experience implementing AI infrastructure architectures with defined scalability, fault tolerance, and security best practices.
• Strong background in AI system design, ML model development, GPU-accelerated computing, and data engineering.
• Hands-on experience with automation tools such as Terraform, Ansible, and Kubernetes for AI environments.
• Certification in AI/ML technologies or cloud-based AI solutions preferred.
Preferred Skills:
• Experience developing AI infrastructure strategy and reference architectures for enterprise-scale deployments.
• Hands-on expertise in AI hardware, software, and cloud-native architectures for deep learning, NLP, and computer vision workloads.
• Experience designing and implementing highly available, secure, and scalable AI solutions.
• Strong programming skills (Python, TensorFlow, PyTorch, CUDA) for AI model development and optimization.
• Deep knowledge of high-performance computing (HPC) for AI workloads, including GPU/TPU architectures.
• Experience with AI model monitoring, observability, and continuous learning frameworks.
• Expertise in defining and delivering AI/ML migration, implementation, operations, and optimization initiatives.
• Industry knowledge in key AI-driven sectors such as healthcare, finance, automotive, and manufacturing.
• Experience in systems integration and managing direct/channel sales engagements.
• Strong understanding of AI containerization, workflow management, and cloud-based AI training.
• Demonstrated ability to present technical AI solutions and recommendations to customers, engineering teams, and leadership.
• Experience in a customer-facing AI services environment, providing professional and managed services.
• TOGAF 9 Certified or equivalent architecture framework certification preferred.
You will report to SSG (Solutions & Services Group) organization structure.
SSG has been focusing on the expanding IT service market, especially the digital workplace services opportunity, the growing demand for aaS (as a Service) model, and customers’ stronger preference for sustainability services. Meanwhile, SSG has continued to invest in software tools, platforms, and repeatable vertical solutions with our own IP, and focus on vertical solutions in manufacturing, retail, healthcare, education, and Smart City. We are expanding TruScale as a Service to include Digital Workplace Solutions, developing our Hybrid Cloud solutions, and exploring Metaverse solutions. Additional Locations: * Mexico * Mexico