AI Solution, Senior Architect

Overview

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.
• Ability to create architecture diagrams, sizing documents, and technical presentations.