Why Work at Lenovo
Description and Requirements
Role Overview
Lenovo’s Sports Vertical is seeking an AI Solution Architect to lead the design and deployment of NVIDIA-powered AI solutions for intelligent venue environments. This role will architect scalable, GPU-accelerated edge-to-cloud platforms supporting real-time video analytics, AI command centers, digital twins, immersive fan experiences, and generative AI applications.
The ideal candidate brings deep expertise in NVIDIA AI platforms, computer vision systems, and enterprise-grade AI architecture, with the ability to translate complex business use cases into high-performance AI solutions.
Key Responsibilities
Owns the full lifecycle of AI solutioning—from discovery to deployment—driving business impact through scalable, customer-centric AI architectures.
- Engage customers to identify and shape AI use cases aligned to business goals
- Translate requirements into scalable end-to-end AI architectures
- Lead pre-sales activities (solutioning, demos, POCs, RFPs)
- Act as trusted technical advisor to CXOs and stakeholders
- Design and position AI-driven solutions (GenAI, analytics, automation)
- Drive rapid prototyping and innovation (POC → MVP → scale)
- Integrate AI solutions with enterprise systems and data platforms
- Ensure security, governance, and Responsible AI compliance
- Collaborate with partners, ISVs, and internal teams for delivery
- Bridge pre-sales to implementation ensuring successful deployment
- Define and track business value, ROI, and outcomes
- Evangelize AI through executive presentations, workshops, and thought leadership
- Design end-to-end AI architectures leveraging NVIDIA AI Enterprise and GPU-accelerated infrastructure
- Architect real-time video analytics pipelines using NVIDIA Metropolis and DeepStream
- Implement and customize NVIDIA Blueprints for production-ready deployments
- Integrate NVIDIA Video Search and Summarization (VSS) into operational command center workflows
- Design scalable edge-to-cloud AI frameworks optimized for live venue environments
- Architect digital twin and simulation environments leveraging NVIDIA Omniverse
- Define multimodal AI architectures combining computer vision, speech AI, and generative AI workflows
- Support real-time avatar and digital human applications powered by NVIDIA ACE and related technologies
- Establish performance, scalability, and governance standards for AI deployments
- Collaborate cross-functionally with engineering, infrastructure, and product teams
Required Qualifications
· Bachelor's Degree in Computer Science or related field
· 8+ years of experience in AI/ML architecture, distributed systems, or enterprise AI platforms
· Strong hands-on experience with:
o NVIDIA AI Enterprise
o NVIDIA Metropolis and DeepStream
o NVIDIA Blueprints
o CUDA and GPU optimization
· Experience designing real-time computer vision and video analytics systems
· Experience building edge-to-cloud AI architectures
· Expertise in containerized AI workloads (Docker, Kubernetes)
· Strong understanding of high-performance computing environments
Preferred Qualifications
· Experience with NVIDIA Video Search and Summarization (VSS)
· Experience with NVIDIA Omniverse and digital twin frameworks
· Experience with NVIDIA ACE (Avatar Cloud Engine) or real-time digital human workflows
· Familiarity with multimodal AI systems (vision + speech + generative AI)
· Experience in sports venues, smart infrastructure, or real-time operational environments
This role offers the flexibility to be located anywhere in the United States. If you're near our Chicago or Raleigh offices, we follow a friendly hybrid model with three days a week in the office - great for collaboration and connection!
The base salary range budgeted for this position is $160,000 to $190,000. Individuals may also be considered for bonuses and/or commissions. Lenovo’s various benefits can be found at www.lenovobenefits.com.
In compliance with Colorado's EPEWA, the expected Application Deadline for this position is 6/15/2026 – this applies to both internal and external candidates.