AI Infrastructure Solutions Architect

Requisition Number: 106792  

Solutions Architect

Location:

Hybrid, 1 day in Toronto office (Thursdays).

The base salary range for this position is typically $120,000 to $150,000 CAD plus target variable bonus and other benefits available. However, compensation decisions are dependent on the facts and circumstances of each case, including experience and location, and we will also consider candidates outside of this range as necessary.

Insight at a Glance

• 14,000+ engaged teammates globally
• $8.2 billion in revenue in 2025
• Certified as a Great Place to work in 9 Countries in 2025
• Fortune 500 Company (No. 447) in 2025
• Received 25+ industry and partner awards in the past year
• $1.4M+ total charitable contributions in 2024 by Insight globally

Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital decisions. 

As a Solutions Architect, AI Infrastructure, you will guide clients through every stage of their on-premises AI journey, from first experiments to operational use to data center scale. This role combines pre-sales and delivery. You will scope and propose AI infrastructure solutions built on NVIDIA technology, deliver the initial deployments yourself, and stay with your clients as their adoption grows. We will count on you to build trusted relationships, find high-value AI use cases, and help clients plan their path from desktop AI systems to full AI data factory investments in the data center. Along the way, you will get to:

• Provide pre-sales analysis, design, recommendations, and support for on-premises AI infrastructure solutions focused around, but not limited to, the NVIDIA DGX Spark, NVIDIA AI Enterprise software, NVIDIA Nemotron open models, and NemoClaw.
• Deliver fixed-price AI enablement engagements end to end, using automated, script-driven deployments, and remain the client's trusted technical advisor after go-live.
• Help clients identify, prototype, and operationalize AI use cases, workflows, and models, with an emphasis on data sovereignty, security, and cost control.
• Guide clients along a crawl, walk, run maturity model. As adoption scales, prepare them for larger data center investments, including AI data factory frameworks from partners such as Dell Technologies, HPE, Cisco, and NVIDIA, plus related compute, networking, storage, and liquid cooling considerations.
• Partner with Insight's commercial, enterprise, and public sector sellers to build AI infrastructure pipeline. This includes regular in-person meetings with clients in your local market.
• Represent Insight at client workshops, AI tech forums, and partner events, sharing thought leadership on open models and on-premises AI.

Be AmbITious: This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career. That includes a dedicated, Insight-funded NVIDIA certification program as part of our strategic investment in the NVIDIA partnership.

What we're looking for

• 5+ years of data center, infrastructure, or solutions architecture experience, including hands-on experience implementing AI use cases, workflows, or models.
• 3+ years of technical consulting or pre-sales experience in a customer-facing role, ideally with an OEM, solutions integrator, or value-added reseller.
• BS in Computer Science or equivalent experience proving subject matter expertise.
• Working knowledge of NVIDIA AI hardware and software, including GPU architectures, CUDA, the DGX platform, and NVIDIA AI Enterprise. Experience with open models running on premises is strongly preferred.
• Proficiency with AI coding assistants for rapid prototyping and automation.
• NVIDIA certifications are strongly preferred (e.g., GPU Genius, NVIDIA Platform). Certifications from frontier model providers such as Anthropic or OpenAI are an asset.
• Familiarity with AI data factory frameworks from Dell Technologies, HPE, Cisco, or NVIDIA is a strong asset.

What you can expect
We’re legendary for taking care of you, your family and to help you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include: 

• Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year.

But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities.

Join us today, your ambITious journey starts here.

Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.

Insight does not accept unsolicited resumes from recruiters or employment agencies. Unsolicited resumes will be treated as direct applications from the candidate, and recruiters or agencies who submit candidates for this position without a prior, written vendor agreement will not be eligible for any form of compensation, even if the candidate is hired.  

Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

Posting Notes: Toronto || Ontario (CA-ON) || Canada (CA) || IT Infrastructure & Support || None || CA - Toronto, ON ||