Senior Solution Architect – (AI/ML/LLM/DeepTech) - Qatar
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Key skills for this role
About the Role
Tech Recruit seeks a Senior Solution Architect for a global AI/Deep Tech company expanding into the Middle East. The role involves bridging technology and customer needs, crafting AI-powered solutions.
Key Skills for This Role
Responsibilities
- Join the pre sales team and bridge the gap between technology and customers' needs, crafting innovative, scalable, and robust AI powered solutions
- Interface effectively with technical and non technical stakeholders
- Write technical proposals or respond to RFPs/tenders
- Run hands on product demos independently
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
- Previous experience in a technical partner pre sales or consulting role with heavy emphasis on partner and customer facing interactions (e.g., Solutions Architect, Sales Engineer, Implementation Consultant)
- Excellent communication and presentation skills
- Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services
- Familiarity with MLOps tools and practices: CI/CD, monitoring, orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes
- Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, HuggingFace model hub)
- Experience sizing GPU infrastructure for LLM inference or training workloads
- Experience benchmarking and evaluating LLM performance
- Hands on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face)
- Must be available to travel as needed
- Arabic and English languages
Full Job Posting
Job Overview
- A fantastic opportunity for a skilled Solution Architect to join a global AI/Deep Tech company as part of their expansion into the Middle East.
- In this role you will join our pre sales team and bridge the gap between our technology and our customers’ needs, crafting innovative, scalable, and robust AI powered solutions.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
- Previous experience in a technical partner pre sales or consulting role with a heavy emphasis on partner and customer facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant)
- Excellent communication and presentation skills, able to interface effectively with technical and non technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands on product demos independently.
- Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on premise, and hybrid deployment models.
- Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization.
- Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, HuggingFace model hub).
- Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200).
- Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput).
- Hands on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face).
- Must be available to travel as needed for meetings, conferences, and project requirements.
- Languages: Arabic and English
Nice to Have
- Experience with Computer Vision models, Speech models, Vision Language models, and other modalities.
- Experience with AI model optimization, quantization, or deployment to edge devices.
- Hands on experience designing RAG pipelines and/or multi agent systems.
- Experience designing data architectures (batch & streaming) and working with big data technologies.
- Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the respective country AI Act.
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