Solutions Architect - AI and Cloud / LLMs / Large Language Models / MLOps
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Key skills for this role
About the Role
European Tech Recruit seeks a Solutions Architect for a technology organization in Qatar. This customer-facing pre-sales role involves designing AI-powered architectures, responding to RFPs, and running product demos.
Key Skills for This Role
Responsibilities
- Work closely with partners and customers to understand their needs and craft technical proposals
- Respond to RFPs and tenders
- Run independent product demos
- Design and present solutions spanning cloud, on premise, sovereign, and hybrid deployment models
- Size GPU environments for LLM inference and training workloads
- Benchmark and evaluate LLM performance across accuracy, latency, and throughput dimensions
- Work with MLOps tooling including CI/CD pipelines, Kubeflow, MLflow, Docker, and Kubernetes
- Translate customer requirements into scalable, robust AI powered architectures
Requirements
- Degree in Computer Science, Data Science, Engineering, or a related field
- Proven experience in a pre sales or consulting role with significant customer and partner facing responsibility
- Arabic and English language proficiency
- Legal authorization to work in Qatar
- Strong knowledge of AWS, Azure, and GCP alongside their native AI and ML services
- Experience sizing GPU environments for LLM inference and training workloads
- Familiarity with MLOps tooling including CI/CD pipelines, orchestration frameworks such as Kubeflow and MLflow, and containerisation with Docker and Kubernetes
- Familiarity with LLM inference stacks including vLLM, llama.cpp, and OpenVINO, and model formats such as ONNX and HuggingFace
- Hands on coding in Python and SQL, with working knowledge of PyTorch, TensorFlow, and Hugging Face
Full Job Posting
Position Overview
- Solutions Architect AI and Cloud / LLMs / Large Language Models / MLOps
- A technology organisation with a strong AI and cloud platform focus is looking for a Solutions Architect to join its pre sales team in Qatar
- This is a customer facing, technically hands on role sitting at the intersection of sales engineering and solution design
What you will be doing
- Work closely with partners and customers to understand their needs, craft technical proposals, respond to RFPs and tenders, and run independent product demos
- Design and present solutions spanning cloud, on premise, sovereign, and hybrid deployment models, drawing on strong knowledge of AWS, Azure, and GCP alongside their native AI and ML services
- Size GPU environments for LLM inference and training workloads
- Benchmark and evaluate LLM performance across accuracy, latency, and throughput dimensions
- Work with MLOps tooling including CI/CD pipelines, orchestration frameworks such as Kubeflow and MLflow, and containerisation with Docker and Kubernetes
- Use LLM inference stacks including vLLM, llama.cpp, and OpenVINO, and model formats such as ONNX and HuggingFace
- Hands on coding in Python and SQL, with working knowledge of PyTorch, TensorFlow, and Hugging Face
What We Are Looking For
- A degree in Computer Science, Data Science, Engineering, or a related field
- Proven experience in a pre sales or consulting role with significant customer and partner facing responsibility
- Arabic and English language proficiency is required
- Applicants must hold legal authorisation to work in Qatar
- The role involves travel for meetings, conferences, and project requirements
- Experience with computer vision, speech, or vision language models, AI model optimisation and quantisation, RAG pipeline design, multi agent systems, or data architecture covering batch and streaming workloads would all strengthen an application
- Familiarity with data privacy frameworks including GDPR and awareness of relevant AI regulatory developments is also valued
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