AI Architect (Forward Deployment Engineering)

Dell Inc.

Willoughby

On-site

AUD 180,000 - 240,000

Full time

7 days ago
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Job summary

Dell's Forward Deployment Engineering (FDE) Team in Sydney is seeking an AI Architect to be a hands-on technical leader who designs and builds AI and GenAI solutions with customers. You will own key parts of the AI software stack and drive rapid proof-of-value sprints to move workloads toward production on Dell infrastructure.

You will balance speed, reliability, security, and responsible AI practices, focusing on fit-for-purpose architectures and enablement so customers can operate and extend

Responsibilities

  • Design scalable AI architectures for customer use cases in line with enterprise and security standards
  • Lead implementation of AI software components such as model serving, orchestration, retrieval, and integrations
  • Run time-bound proofs of value to demonstrate business outcomes quickly and clearly
  • Help migrate AI workloads between cloud, on-premises, and hybrid environments on Dell infrastructure
  • Enable customer engineers and platform teams to support and extend solutions after handover

Job description

Within the Forward Deployment Engineering (FDE) Unit, the AI Architect is a hands-on technical leader who designs and builds AI and GenAI solutions with customers. You will own key parts of the AI software stack, drive rapid proof-of-value sprints, and help move AI workloads toward stable production on Dell infrastructure, balancing speed, reliability, security, and responsible AI practices. You focus on fit-for-purpose architectures and enablement so customers can operate and extend their AI solutions after FDE Units disengage.

Join us to do the best work of your career and make a profound social impact as an AI Architect on our Forward Deployment Engineering (FDE) Team in Sydney.

What You’ll Achieve

  • Design scalable AI architectures for customer use cases in line with enterprise and security standards
  • Lead implementation of AI software components such as model serving, orchestration, retrieval, and integrations
  • Run time-bound proofs of value to demonstrate business outcomes quickly and clearly
  • Help migrate AI workloads between cloud, on-premises, and hybrid environments on Dell infrastructure
  • Enable customer engineers and platform teams to support and extend solutions after handover
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