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Dell Technologies

AI Architect

🇦🇪 Dubai, UAE🏢 On-site
AIGenAIArchitectureCloudDevOpsSREInfrastructure-as-code
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Dell Technologies

AI Architect (FDE Unit)

Within the Forward Deployment Engineering (FDE) Unit, the Advisory 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 Advisory AI Architect on our Forward Deployment Engineering (FDE) team in Dubai, United Arab Emirates.

What You’ll Achieve

As an AI Architect, you will design and implement secure, scalable AI architectures, running proofs of value to accelerate business outcomes. You will drive end-to-end AI software deployment and enable customer engineering teams to support and extend solutions post-handover.

You Will:

• Design, configure, and implement AI solution stacks, including model serving, orchestration, retrieval pipelines, vector stores, and related components and take shared responsibility for production readiness and early production stability, including monitoring, performance optimization, and issue triage

• Select practical tools and patterns to avoid tooling sprawl and deliver working prototypes and PoVs tied to clear success measures and 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

• Work closely with AI Data Specialists to define and consume AI-ready data pipelines that support performance and reliability and 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 and 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

• Typically, 6 years in enterprise architecture, AI/ML platforms, or systems engineering, delivering production workloads in large enterprises

• Hands-on experience designing and implementing AI solution components such as model serving, orchestration, retrieval pipelines, vector stores, and integrations and 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

• Demonstrated ownership of production systems, including stabilization and performance tuning in high-visibility contexts and ability to explain complex technical trade-offs and architectures in clear language for both technical and non-technical stakeholders

• Ability to travel to customer sites and Dell locations as needed, 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

• Experience deploying AI solutions across cloud, on-premises, and hybrid environments and 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

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.

Application closing date: 6 April 2026

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 here.

Requirements

  • •6 years in enterprise architecture, AI/ML platforms, or systems engineering
  • •Hands-on experience designing & implementing AI solution components (model serving, orchestration, retrieval pipelines, vector stores)
  • •Strong foundation in modern software engineering practices (CI/CD, automated testing, observability, DevOps/SRE, infrastructure-as-code)
  • •Design, configure, and implement AI solution stacks
  • •Own key parts of the AI software stack
  • •Drive rapid proof-of-value sprints
  • •Move AI workloads toward stable production on Dell infrastructure
  • •Focus on fit-for-purpose architectures and enablement

Nice to Have

  • •Provide documentation, runbooks, and knowledge transfer to customer teams
  • •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

Responsibilities

  • •Design and implement secure, scalable AI architectures
  • •Run proofs of value to accelerate business outcomes
  • •Drive end-to-end AI software deployment
  • •Enable customer engineering teams to support and extend solutions post-handover
  • •Select practical tools and patterns
  • •Deliver working prototypes and PoVs
  • •Lead PoV sprints
  • •Plan and execute cloud-to-on-prem and hybrid migration patterns for AI workloads onto Dell infrastructure

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