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Presales Consultant – AI Infrastructure | UAE

Job in Dubai, UAE/Dubai
Listing for: Horizonhr Consultancy
Full Time position
Listed on 2026-01-17
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR
Job Description & How to Apply Below

We are hiring an experienced Presales Consultant – AI Infrastructure for a leading technology organization based in Dubai, UAE. This role is suited for senior professionals with strong expertise in AI infrastructure, GPU platforms, and enterprise AI solutions, supporting sales teams through technical solutioning and customer engagement.

Job Title: Presales Consultant – AI Infrastructure
Job Location: Dubai, UAE
Experience

Required:

8–10 Years
Salary: AED 25,000 per month

Job Purpose

The Presales Consultant – AI Infrastructure will be responsible for technical solutioning of AI infrastructure, including on-prem GPU solutions, GPU on lease, AI networking, orchestration layers, and enterprise AI platforms. The role requires close collaboration with Data Science, Architecture, and Dev Sec Ops  teams to ensure performance, governance, observability, and compliance across AI use cases.

Key Responsibilities
  • Provide presales and product support in coordination with sales teams
  • Participate in RFI and RFP processes and design technical solutions
  • Execute Proof of Concept (POC) activities
  • Conduct AI discovery and solution workshops with customers
  • Design AI reference architectures (LLM, ML, RAG, predictive analytics)
  • Explain data models, MLOps workflows, and AI lifecycle management
  • Stay updated with AI trends, GPU acceleration, and vector databases
  • Support internal product training and OEM collaboration
  • Perform competitive and market analysis
  • Drive business development initiatives with vendor partners
Qualifications & Certifications
  • Qualification: Engineering Degree or equivalent
  • Certifications (Preferred): HPE MASE, AI-related certifications
  • Reporting To:
    Director – Infrastructure
  • Strong understanding of AI technologies and enterprise AI use cases
  • Experience with AI/ML platforms, data models, and enterprise deployments
  • Hands‑on knowledge of MLOps tools such as MLflow, Kubeflow, and Databricks
  • Experience with model serving frameworks
  • Strong analytical, presentation, and consultative selling skills
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