Senior Solution Architect
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Key skills for this role
About the Role
European deep-tech AI leader seeks a Senior Solution Architect for a pre-sales role in Doha. You will design end-to-end AI/ML solutions, run product demos, and lead technical proposals for enterprise clients in finance, energy, and telecom.
Key Skills for This Role
Responsibilities
- Act as the technical authority in partner and customer facing interactions, run hands on product demos independently
- Lead the authoring of technical proposals, RFPs, and tenders
- Design end to end AI/ML solutions spanning cloud, hybrid, on premise, and sovereign deployment models
- Translate complex AI, LLM, and quantum inspired capabilities into clear, value driven architectures for both technical and non technical stakeholders
- Partner closely with sales and engineering teams to ensure proposed architectures align with customer requirements and delivery capabilities
Requirements
- Proven experience in a technical pre sales, sales engineering, or implementation consulting role with heavy enterprise customer exposure
- Strong knowledge of major cloud platforms (AWS, Azure, GCP) and AI/ML services
- Experience sizing GPU infrastructure for LLM inference or training workloads
- Familiarity with MLOps frameworks (e.g., Kubeflow, Flyte, MLflow, CI/CD) and proficiency with Docker and Kubernetes
- Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, Hugging Face)
- Hands on Python and SQL coding skills, alongside familiarity with ML libraries (PyTorch, TensorFlow, Hugging Face)
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
- Professional fluency in both Arabic and English
- Existing legal authorization to work in Qatar
Full Job Posting
The Opportunity
- A fast growing European deep tech leader is expanding its pre sales team in the Middle East, hiring a Mid/Senior Solution Architect to be based in Doha.
- In this pivotal pre sales role, you will bridge the gap between advanced technology and enterprise needs, crafting innovative AI powered solutions for major organizations across finance, energy, manufacturing, telecom, and industrials.
The Role
- Client & Partner Engagement: Act as the technical authority in partner and customer facing interactions. Run hands on product demos independently and lead the authoring of technical proposals, RFPs, and tenders.
- Solution Architecture: Design end to end AI/ML solutions spanning cloud, hybrid, on premise, and sovereign deployment models.
- Technical Consulting: Translate complex AI, LLM, and quantum inspired capabilities into clear, value driven architectures for both technical and non technical stakeholders.
- Collaboration: Partner closely with sales and engineering teams to ensure proposed architectures align perfectly with customer requirements and delivery capabilities.
Required Experience & Skills
- Proven experience in a technical pre sales, sales engineering, or implementation consulting role with heavy enterprise customer exposure.
- Strong knowledge of major cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML). Experience sizing GPU infrastructure for LLM inference or training workloads.
- Familiarity with MLOps frameworks (e.g., Kubeflow, Flyte, MLflow, CI/CD) and proficiency with Docker and Kubernetes for containerising AI workloads.
- Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO), model delivery formats (ONNX, Hugging Face), and experience benchmarking LLM performance.
- Hands on Python and SQL coding skills, alongside familiarity with ML libraries (PyTorch, TensorFlow, Hugging Face).
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. Ability to travel as required.
- Professional fluency in both Arabic and English.
- Existing legal authorization to work in Qatar is required.
Preferred Attributes
- Experience with multi modal AI (Computer Vision, Speech, Vision Language models).
- Hands on experience designing RAG pipelines, multi agent systems, or working with AI model optimization and quantization.
- Experience designing big data architectures (batch & streaming).
- Knowledge of data privacy, ethical AI considerations, and compliance frameworks.
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