AI Architect (Forward Deployment Engineering)

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
• Design, configure, and implement AI solution stacks, including model serving, orchestration, retrieval pipelines, vector stores, and related components
• Select practical tools and patterns to avoid tooling sprawl and deliver working prototypes and PoVs tied to clear success measures
• Lead PoV sprints (typically a few weeks): refine scope, build and iterate on solutions, and present outcomes and recommendations to stakeholders
• Plan and execute cloud-to-on-prem and hybrid migration patterns for AI workloads onto Dell infrastructure, optimizing performance, reliability, and security
• Take shared responsibility for production readiness and early production stability, including monitoring, performance optimization, and issue triage
• Work closely with AI Data Specialists to define and consume AI-ready data pipelines that support performance and reliability
• Collaborate with AI Strategists and Enterprise Architects to align technical scope with business outcomes and target-state architectures
• Provide documentation, runbooks, and knowledge transfer to customer teams, and contribute to Dell AI Factory reference architectures and playbooks
• Mentor other technical team members on AI architecture patterns, Dell AI infrastructure capabilities, and responsible AI practices
• Take the first step towards your dream career
• Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

• Hands-on experience designing and implementing AI solution components such as model serving, orchestration, retrieval pipelines, vector stores, and integrations
• 6+ years in enterprise architecture, AI/ML platforms, or systems engineering, delivering production workloads in large enterprises
• Strong foundation in modern software engineering practices (e.g., CI/CD, automated testing, observability, DevOps/SRE, infrastructure-as-code)
• Experience delivering and operating production AI or other large-scale distributed systems in enterprise environments
• Experience deploying AI solutions across cloud, on-premises, and hybrid environments
• Demonstrated ownership of production systems, including stabilization and performance tuning in high-visibility contexts
• Ability to explain complex technical trade-offs and architectures in clear language for both technical and non-technical stakeholders
• Ability to travel in Australia and New Zealand, in line with business requirements and applicable laws and Dell policies

Desirable Requirements

• Bachelor’s degree in computer science, Engineering, Data Science, or a related field
• Familiarity with AI security, privacy, and governance and modern cloud / data / ML tooling (e.g., major public clouds, Kubernetes)
• Hands-on experience with GenAI or RAG-style solutions and leading small technical teams in customer-facing projects