AI Solution Architect — Edge Agentic and Physical AI

Job Details: Job Description: About the role Join Intel's Edge Agentic AI tea m and help accelerate the Kingdom's AI transformation under Saudi Vision 2030. This role sits at the intersection of advanced AI engineering, customer solution architecture, and ecosystem engagement. You will work directly with government entities, smart city authorities, critical infrastructure operators, enterprises, and ecosystem partners to design, deploy, and scale next-generation Edge Agentic and Physical AI powered by Intel technologies. As a trusted technical advisor, you will bridge customer requirements with Intel's global engineering teams, helping customers operationalize Agentic and Physical AI and autonomous decision-making systems with sovereign AI across edge infrastructures.   What you'll do • Lead the design and architecture of end-to-end solutions for Edge Agentic AI, Physical AI, and Cognitive City initiatives across Saudi Arabia and the broader region. • Engage customers/stakeholders to understand business goals, operational challenges, and AI transformation priorities, translating them into scalable technical solutions. • Develop and demonstrate proof-of-concepts showcasing sovereign edge AI architectures leveraging Intel HW & SW technologies. • Create customer-facing technical assets, including solution blueprints, reference architectures, deployment guides, workshop content, and technical presentations in both Arabic and English. • Collaborate closely with Intel engineering and product teams to influence product roadmaps through customer requirements, field insights, and deployment feedback. • Drive ecosystem development and strategic partnerships with public and private sector. • Represent Intel as a technical leader in customer engagements, partner workshops, industry forums, and Vision 2030 initiatives, including events such as LEAP and the Global AI Summit. Qualifications: Required Qualifications • Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, AI, Data Science, or related technical discipline. • At least 5-6 years of experience in Solution Engineering, AI Engineering, Software Engineering, Technical Consulting, or Customer Engineering. • Strong software development background with ability to code, review architecture, and guide engineering teams. • Strong experience in Python, SQL, JavaScript, Docker and Vector Databases. • Strong understanding of: Edge AI architectures, Agentic AI systems, Multi-agent frameworks, and AI orchestration & lifecycle management frameworks. • Experience in REST APIs, microservices development and orchestration frameworks (e.g., Kubernetes, OpenShift). • Familiarity with AI frameworks as LangGraph, LangChain, LlamaIndex, AI model serving frameworks such as vLLM and OVMS, and MCP-based agent architectures. • Ability to translate technical capabilities into measurable business outcomes. • Excellent communication and presentation skills with proficiency in Arabic and English. • Willingness to travel within Saudi Arabia and occasionally within the MENA region for client visits   Preferred Qualifications • 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 domains. • 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. • Open-source contributions, technical blog posts, or participation in regional AI / developer communities (e.g., SDAIA, Saudi AI Society, GCC tech meetups) •  margin-top:2.0pt;"> marg