مهندس حلول الذكاء الاصطناعي (AI Solution Architect)

Job Summary

This role at Intel involves leading the design and deployment of Edge Agentic and Physical AI solutions, working closely with government and enterprise customers in Saudi Arabia to support AI transformation aligned with Saudi Vision 2030.

Responsibilities

• Lead architecture and design of comprehensive solutions for Edge Agentic AI, Physical AI, and Cognitive City projects in Saudi Arabia and the region.
• Engage with customers and stakeholders to understand their business objectives and challenges, translating these into scalable AI technical solutions.
• Create and demonstrate proof-of-concept implementations of sovereign edge AI architectures using Intel hardware and software.
• Develop customer-facing technical materials such as solution blueprints, reference architectures, deployment guides, workshops, and presentations in Arabic and English.
• Collaborate with Intel engineering and product teams to provide customer feedback and influence product development.
• Drive ecosystem growth and establish strategic partnerships with public and private sector entities.
• Represent Intel as a technical expert in customer meetings, partner workshops, industry forums, and Vision 2030 events like LEAP and the Global AI Summit.

Must haves

• Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, AI, Data Science, or related field.
• 5-6 years of experience in Solution Engineering, AI Engineering, Software Engineering, Technical Consulting, or Customer Engineering.
• Strong software development skills including coding, architecture review, and engineering team guidance.
• Proficiency in Python, SQL, JavaScript, Docker, and Vector Databases.
• Deep understanding of Edge AI architectures, Agentic AI systems, multi-agent frameworks, and AI orchestration and lifecycle management.
• Experience with REST APIs, microservices, and orchestration platforms such as Kubernetes and OpenShift.
• Familiarity with AI frameworks like LangGraph, LangChain, LlamaIndex, model serving frameworks such as vLLM and OVMS, and MCP-based agent architectures.
• Ability to communicate technical concepts effectively in Arabic and English.
• Willingness to travel within Saudi Arabia and occasionally in the MENA region.

Nice to haves

• Experience deploying AI workloads in distributed edge environments.
• Knowledge of Cognitive Cities, Physical AI, Industry 4.0, transportation, public safety, utilities, healthcare, energy, or intelligent infrastructure sectors.
• Familiarity with sovereign AI architectures and AI governance.
• Experience with digital twin platforms and geospatial intelligence solutions.
• Experience working with government or public-sector customers in the Middle East.
• Contributions to open-source projects, technical blogging, or participation in regional AI/developer communities such as SDAIA, Saudi AI Society, or GCC tech meetups.

What the company offers

• Competitive compensation and benefits package tailored for the Saudi market.
• Relocation support where applicable.
• Opportunity to influence AI initiatives aligned with Saudi Vision 2030.
• Exposure to emerging technologies including AI agents, digital twins, robotics, autonomous operations, and sovereign AI platforms.

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