AI Architect (Forward Deployment Engineering)

Dell Technologies
Chatswood +1 more
On-site

Who this role is best for

Aimed at experienced AI/ML architects who can design scalable solutions and work in hybrid environments, with a focus on customer collaboration and technical leadership.

Best fit for

  • Experienced AI architects with a track record in enterprise AI deployments and hybrid environments
    — “Experience deploying AI solutions across cloud, on-premises, and hybrid environments”
  • Candidates who can balance speed, reliability, and security in AI solutions
    — “balancing speed, reliability, security, and responsible AI practices”
  • Technical leaders who can mentor and transfer knowledge to customer teams
    — “Mentor other technical team members on AI architecture patterns”

Things to consider

  • Travel within Australia and New Zealand is expected as part of the role
    — “Ability to travel in Australia and New Zealand”
  • Candidates must have a strong background in delivering production AI workloads
    — “delivering production workloads in large enterprises”

How to stand out

  • Highlight experience in AI solution stacks like model serving and vector stores
    — “Design, configure, and implement AI solution stacks”
  • Demonstrate leadership in PoV sprints and technical decision-making
    — “Lead PoV sprints (typically a few weeks)”
  • Emphasize ability to explain complex AI architectures to non-technical stakeholders
    — “Ability to explain complex technical trade-offs and architectures in clear language”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Design scalable AI architectures
  • Lead implementation of AI software components
  • Run time-bound proofs of value
  • Enable customer engineers to support AI solutions
Typical background
6+ years in enterprise architectureExperience delivering production AI systems

Skills & requirements

Required

AI ArchitectureModel ServingOrchestrationRetrieval PipelinesVector StoresCloud-to-on-prem MigrationProduction ReadinessResponsible AI Practices

Preferred

DevOpsSREInfrastructure-as-code

Stack & domain

AIGenaiModel ServingOrchestrationRetrievalVector StoresCloudOn-premisesHybrid EnvironmentsDell InfrastructureCI/CDAutomated TestingObservabilityDevops/sreInfrastructure-as-codeProduction WorkloadsEnterprise EnvironmentsAi-ready Data PipelinesResponsible AI PracticesLeadershipCommunicationTeamworkProblem-solvingTechnical ExpertiseProject ManagementClient InteractionTechnical DocumentationEnterprise ArchitectureAi/ml PlatformsSystems EngineeringSoftware EngineeringDell AI InfrastructureAI Factory Reference ArchitecturesPharmaceutical And Biotechnology Industries

About the role

Original posting from Dell Technologies

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 standardsLead implementation of AI software components such as model serving, orchestration, retrieval, and integrationsRun time-bound proofs of value to demonstrate business outcomes quickly and clearlyHelp migrate AI workloads between cloud, on-premises, and hybrid environments on Dell infrastructureEnable 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 componentsSelect practical tools and patterns to avoid tooling sprawl and deliver working prototypes and PoVs tied to clear success measuresLead PoV sprints (typically a few weeks): refine scope, build and iterate on solutions, and present outcomes and recommendations to stakeholdersPlan and execute cloud-to-on-prem and hybrid migration patterns for AI workloads onto Dell infrastructure, optimizing performance, reliability, and securityTake shared responsibility for production readiness and early production stability, including monitoring, performance optimization, and issue triageWork closely with AI Data Specialists to define and consume AI-ready data pipelines that support performance and reliabilityCollaborate with AI Strategists and Enterprise Architects to align technical scope with business outcomes and target-state architecturesProvide documentation, runbooks, and knowledge transfer to customer teams, and contribute to Dell AI Factory reference architectures and playbooksMentor 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 integrations6+ years in enterprise architecture, AI/ML platforms, or systems engineering, delivering production workloads in large enterprisesStrong 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 environmentsExperience deploying AI solutions across cloud, on-premises, and hybrid environmentsDemonstrated ownership of production systems, including stabilization and performance tuning in high-visibility contextsAbility to explain complex technical trade-offs and architectures in clear language for both technical and non-technical stakeholdersAbility 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 fieldFamiliarity 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

Who We Are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy.

Visit our Culture Code page to learn more about how we work and lead.

Source: Dell Technologies careers

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