Presales Consultant | AI Infrastructure

Horizonhr Consultancy; United Arab Emirates; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading technology organization in Dubai is seeking an experienced Presales Consultant – AI Infrastructure. The role requires strong expertise in AI infrastructure and GPU platforms. Responsibilities include providing presales support, conducting customer workshops, and designing AI reference architectures. Applicants should have 8–10 years of experience and an Engineering Degree. Preferred certifications include HPE MASE and other AI-related qualifications. Competitive salary offered.

Qualifications

• 8–10 years of experience in presales consultant roles focused on AI infrastructure.
• Preferred certifications: HPE MASE, AI-related certifications.

Responsibilities

• Provide presales and product support in coordination with sales teams.
• Participate in RFI and RFP processes and design technical solutions.
• Conduct AI discovery and solution workshops with customers.

Skills

Strong understanding of AI technologies and enterprise AI use cases

Experience with AI/ML platforms

Hands-on knowledge of MLOps tools such as MLflow, Kubeflow, and Databricks

Strong analytical skills

Consultative selling skills

Education

Engineering Degree or equivalent

Tools

MLOps tools (MLflow, Kubeflow, Databricks)

Job description

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 Details

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 DevSecOps 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

Technical Skills & Competencies

• 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