Mid/Senior Solution Architect - Qatar
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Key skills for this role
About the Role
Multiverse Computing seeks a talented Solutions Architect to join their pre-sales team in Qatar, bridging the gap between technology and customer needs. The role requires experience in technical pre-sales, cloud platforms, AI/ML services, and hands-on coding.
Key Skills for This Role
Responsibilities
- 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
- 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; 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)
- Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field
- Must be available to travel as needed for meetings, conferences, and project requirements
- Languages: Arabic and English
Full Job Posting
About Multiverse Computing
- Multiverse Computing is a fast growing deep tech company founded in 2019, recognized as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions.
Why join us?
- We are a European deep tech leader in quantum and AI, backed by major global strategic investors. Our technology compresses large language models by up to 95% without losing accuracy and cuts inference costs by 50–80%.
Key requirements
- Previous experience in a technical partner pre sales or consulting role with 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).
- Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field.
- Must be available to travel as needed for meetings, conferences, and project requirements.
- Languages: Arabic and English
Preferred Qualifications
- 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.
Perks & Benefits
- Equal pay guaranteed.
- Signing bonus.
- Relocation package (if applicable).
- Eligibility for educational budget according to internal policy.
- Hybrid opportunity.
- Flexible working hours.
- Language classes and discounted lunch options.
- Working in a high paced environment, working on cutting edge technologies.
- Career plan. Opportunity to learn and teach.
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