AI Solution, Senior Architect
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Key skills for this role
About the Role
MASTER-WORKS subsidiary Nabeh is seeking an AI Solution Senior Architect to design end-to-end AI solutions, support commercial and technical teams, evaluate RFPs, and advise clients.
Key Skills for This Role
Responsibilities
- Understand client business needs and translate them into practical AI solution designs
- Design end to end AI solution architectures covering software, models, infrastructure, deployment, and integration
- Support AI hardware sizing for LLMs, computer vision, speech to text, and other AI workloads
- Recommend the most suitable AI models based on use case, performance, cost, latency, accuracy, and deployment constraints
- Evaluate RFPs and identify technical requirements, risks, gaps, and solution approach
- Support the preparation of technical proposals, solution documents, architecture diagrams, and implementation plans
- Work closely with sales, presales, product, engineering, and delivery teams
- Advise clients on AI strategy, model selection, deployment options, cloud/on prem infrastructure, and system integration
- Review existing client systems and propose AI integration opportunities
- Support proof of concept planning, technical scoping, and feasibility assessment
- Ensure proposed solutions are scalable, secure, realistic, and commercially viable
Requirements
- Senior level experience in software engineering, solution architecture, or AI engineering
- Strong understanding of AI/ML concepts, LLMs, RAG, computer vision, speech to text, and model deployment
- Experience with enterprise software architecture, APIs, databases, cloud platforms, and system integrations
- Good awareness of AI infrastructure and hardware sizing, including GPUs, accelerators, CPU/RAM requirements, concurrency, throughput, and latency considerations
- Experience in technical proposal writing, RFP evaluation, or presales support
- Ability to communicate complex technical ideas clearly to business and technical stakeholders
- Native Arabic speaker with fluent English communication skills
- Experience with cloud platforms such as GCP, OCI, Azure
- Experience with on prem AI deployments and GPU based infrastructure
- Familiarity with LLM serving frameworks such as vLLM, TGI, Ollama, or similar
- Experience with RAG systems, vector databases, embeddings, and enterprise knowledge assistants
- Experience in government (Saudi Market), enterprise, or large B2B AI projects
Full Job Posting
Overview
- Our subsidiary (Nabeh) is seeking for an AI Solution, Senior Architect. The ideal candidate will have strong experience across software engineering, AI solutions, system architecture, and AI hardware sizing. This role will support both the commercial and technical teams by translating client needs i
Key Roles and Responsibilities
- Understand client business needs and translate them into practical AI solution designs.
- Design end to end AI solution architectures covering software, models, infrastructure, deployment, and integration.
- Support AI hardware sizing for LLMs, computer vision, speech to text, and other AI workloads.
- Recommend the most suitable AI models based on use case, performance, cost, latency, accuracy, and deployment constraints.
- Evaluate RFPs and identify technical requirements, risks, gaps, and solution approach.
- Support the preparation of technical proposals, solution documents, architecture diagrams, and implementation plans.
- Work closely with sales, presales, product, engineering, and delivery teams.
- Advise clients on AI strategy, model selection, deployment options, cloud/on prem infrastructure, and system integration.
- Review existing client systems and propose AI integration opportunities.
- Support proof of concept planning, technical scoping, and feasibility assessment.
- Ensure proposed solutions are scalable, secure, realistic, and commercially viable.
Requirements
- Senior level experience in software engineering, solution architecture, or AI engineering.
- Strong understanding of AI/ML concepts, LLMs, RAG, computer vision, speech to text, and model deployment.
- Experience with enterprise software architecture, APIs, databases, cloud platforms, and system integrations.
- Good awareness of AI infrastructure and hardware sizing, including GPUs, accelerators, CPU/RAM requirements, concurrency, throughput, and latency considerations.
- Experience in technical proposal writing, RFP evaluation, or presales support.
- Ability to communicate complex technical ideas clearly to business and technical stakeholders.
- Native Arabic speaker with fluent English communication skills.
- Experience with cloud platforms such as GCP, OCI, Azure.
- Experience with on prem AI deployments and GPU based infrastructure.
- Familiarity with LLM serving frameworks such as vLLM, TGI, Ollama, or similar.
- Experience with RAG systems, vector databases, embeddings, and enterprise knowledge assistants.
- Experience in government (Saudi Market), enterprise, or large B2B AI projects.
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