Solution Architect, AI Enterprise

Lenovo; United States; Remote; USD 170,000 - 190,000; Full time

Job summary

Join a forward-thinking technology powerhouse as a Solution Architect, where you'll lead the integration of cutting-edge NVIDIA AI solutions. In this remote role, you will design and deploy innovative AI architectures, ensuring seamless integration with Lenovo’s robust infrastructure. Your expertise will directly influence the delivery of impactful AI/ML solutions, while collaborating with engineering teams and customers to optimize performance and address challenges. This is your chance to be at the forefront of AI innovation, shaping the future of technology and making a significant impact on the industry. If you're passionate about AI and eager to drive change, we want to hear from you!

Qualifications

• 8+ years of experience in solution architecture or AI/ML environments.
• Strong knowledge of NVIDIA AI Enterprise software and deployment methodologies.

Responsibilities

• Design and deploy AI architectures using NVIDIA AI Enterprise software.
• Provide technical guidance on deploying NVIDIA AI solutions on Lenovo platforms.

Skills

Solution Architecture

AI/ML Frameworks

NVIDIA AI Enterprise

Problem-Solving

Project Management

Technical Communication

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Tools

TensorFlow

PyTorch

VMware

Kubernetes

Job description

* United States of America - North Carolina - Morrisville

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$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.

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:

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

Basic Qualifications:

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

Preferred Qualifications:

1. Masters degree in Computer Science, Electrical Engineering, or a related field.
2. Excellent problem-solving and analytical skills.
3. Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
4. Strong leadership and project management capabilities.
5. Passion for AI innovation and enterprise-grade solution delivery.
6. Ability to stay ahead of technological advancements and integrate them effectively.
7. 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.

The base salary range budgeted for this position is $170,000-$190,000. Individuals may also be considered for bonus and/or commissions. Lenovo’s various benefits can be found on www.lenovobenefits.com.

In compliance with Colorado's EPEWA, the expected Application Deadline for this position is 2/20/2025. This applies to internal and external candidates.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.