Solution Architect, AI Enterprise

Description and Requirements

This is a remote position and can be located anywhere in the United States.

Lenovo Infrastructure Solutions Group (ISG) is looking for a skilled and forward-thinking Solution Architect to lead the adoption and integration of NVIDIA AI Enterprise (NVAIE) solutions. The ideal candidate will focus on deploying, optimizing, and managing NVIDIA AI Enterprise software, ensuring seamless integration with Lenovo’s infrastructure offerings to deliver cutting-edge AI/ML solutions.

Key Responsibilities:

• Design and deploy AI architectures leveraging NVIDIA AI Enterprise software stack.
• Align AI solutions with Lenovo’s hardware and infrastructure offerings to meet customer needs.
• Develop scalable, reliable, and high-performance solutions to support various AI/ML workloads.
• Integrate NVIDIA AI Enterprise solutions with Lenovo’s compute, storage, and networking infrastructure.
• Optimize performance for key AI/ML workflows, including training, inference, and data processing.
• Collaborate with engineering teams to address compatibility and performance issues.
• Provide technical guidance to customers and partners on deploying and managing NVIDIA AI Enterprise solutions on Lenovo platforms.
• Conduct workshops, training sessions, and support regions on proof-of-concept (POC) demonstrations to showcase solution capabilities.
• Work closely with NVIDIA to stay updated on the latest features, best practices, and advancements in AI Enterprise.
• Collaborate with internal Lenovo teams to align solution offerings with market demands and emerging technologies.
• Develop and maintain comprehensive documentation, including deployment guides, architecture blueprints, and best practices.
• Establish standardized methodologies for integrating NVIDIA AI Enterprise into diverse environments.
• Advocate for NVIDIA AI Enterprise and Lenovo’s AI infrastructure in the industry through conferences, webinars, and blogs.
• Provide insights into emerging AI trends and technologies to influence Lenovo’s product roadmap.

Basic Qualifications:

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
• At least 8 years of experience in solution architecture, enterprise IT, or AI/ML environments.
• Demonstrated success in deploying and optimizing NVIDIA AI Enterprise or similar platforms.
• Strong knowledge of NVIDIA AI Enterprise software, including its integration and deployment methodologies.
• Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar.
• Expertise in enterprise hardware and software, including servers, storage, and networking.
• Familiarity with virtualization platforms (e.g., VMware) and container orchestration tools (e.g., Kubernetes).

Preferred Qualifications:

• Masters degree in Computer Science, Electrical Engineering, or a related field.
• Excellent problem-solving and analytical skills.
• Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
• Strong leadership and project management capabilities.
• Passion for AI innovation and enterprise-grade solution delivery.
• Ability to stay ahead of technological advancements and integrate them effectively.
• Strong customer focus with a drive to deliver impactful solutions.

Why Lenovo?

At Lenovo, we are committed to creating innovative technology solutions that empower businesses and people to thrive. Join us in shaping the future of AI infrastructure, where your expertise will directly impact the success of our customers and the growth of AI technologies. If you’re ready to help us build smarter solutions, we’d love to hear from you.