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Insight
AI Architect
Career Insights for Artificial Intelligence Engineer (General)
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What they do
An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
$144,375 / year median in the U.S.
Job Description
Requisition Number:
106104Solution Principal Location:
You will have the flexibility to work fully remotely. 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.
- Establish trust in priority accounts by engaging customer executives and senior technical stakeholders around AI infrastructure strategy, economics, governance, operating model, and time to value.
- Frame the customer decision so Insight is seen as a strategic advisor rather than only a hardware, platform, or bill-of-materials provider.
- Stay engaged through the pursuit lifecycle at the level of strategy, value, delivery approach, risk, and executive alignment while AI Specialist Solutions Architects lead the detailed technical motion.
- Guide deal strategy in partnership with sellers, GTM leaders, AI Specialist Solutions Architects, delivery leaders, and practice leadership.
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. What we're looking for- Experience operating as a senior strategic advisor in complex enterprise infrastructure, AI infrastructure, cloud, data center modernization, or hybrid platform opportunities.
- Ability to lead executive and senior technical conversations while leaving detailed BOM creation, component-level sizing, and hands-on design execution to aligned Solutions Architects and engineering teams.
- Strong understanding of GPU-accelerated infrastructure, AI platform architecture, hybrid deployment models, and the operational considerations required to move from pilot to production.
- Ability to translate customer business priorities into solution strategy, delivery approach, risk considerations, and measurable outcomes.
Some of our benefits include:
- Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year.