Solutions Architect
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Key skills for this role
About the Role
European AI company seeks a Mid/Senior Solutions Architect for its pre-sales team in Qatar. You will design scalable AI solutions, deliver technical demonstrations, and support enterprise AI transformation projects.
Key Skills for This Role
Responsibilities
- Design scalable, secure, and innovative AI solutions across cloud, hybrid, and sovereign environments
- Work closely with enterprise customers, partners, and internal engineering teams to define solution architectures
- Deliver technical demonstrations and respond to RFPs
- Support complex AI transformation projects
Requirements
- Enterprise pre sales, solution architecture, or technical consulting experience
- Customer facing solution design and technical discovery workshops
- Technical proposal writing, RFPs, and tender responses
- Delivering product demonstrations and technical presentations
- Cloud platforms including AWS, Azure, and Google Cloud Platform
- AI/ML services including SageMaker, Vertex AI, and Azure Machine Learning
- Hybrid, on premise, and sovereign AI deployments
- MLOps tools including Kubeflow, MLflow, Flyte, CI/CD pipelines, and model monitoring
- Docker and Kubernetes for AI application deployment
- Large Language Model (LLM) inference frameworks including vLLM, llama.cpp, and OpenVINO
- Hugging Face ecosystem, ONNX, and .safetensors model formats
- GPU infrastructure sizing for AI workloads (A10, A100, H100, H200)
Full Job Posting
Role Overview
- A leading European AI company is seeking a Mid/Senior Solutions Architect to join its pre sales team in Qatar.
- This customer facing role will bridge the gap between cutting edge AI technology and enterprise customer requirements.
- The role involves designing scalable, secure, and innovative AI solutions across cloud, hybrid, and sovereign environments.
Key Responsibilities
- Work closely with enterprise customers, partners, and internal engineering teams to define solution architectures.
- Deliver technical demonstrations and respond to RFPs.
- Support complex AI transformation projects.
Ideal Candidate Requirements
- Enterprise pre sales, solution architecture, or technical consulting experience.
- Customer facing solution design and technical discovery workshops.
- Technical proposal writing, RFPs, and tender responses.
- Delivering product demonstrations and technical presentations.
- Cloud platforms including AWS, Azure, and Google Cloud Platform.
- AI/ML services including SageMaker, Vertex AI, and Azure Machine Learning.
- Hybrid, on premise, and sovereign AI deployments.
- MLOps tools including Kubeflow, MLflow, Flyte, CI/CD pipelines, and model monitoring.
- Docker and Kubernetes for AI application deployment.
- Large Language Model (LLM) inference frameworks including vLLM, llama.cpp, and OpenVINO.
- Hugging Face ecosystem, ONNX, and .safetensors model formats.
- GPU infrastructure sizing for AI workloads (A10, A100, H100, H200).
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