Solution Engineer — Edge Agentic AI

About the role

What you'll do

• Guide customers from discovery through successful deployment of Intel-powered agentic AI and Physical AI solutions.
• Partner with Saudi and GCC customers to understand use cases and enable solutions on Intel hardware.
• Run technical demonstrations, workshops, and proofs of concept at customer sites; architect proofs of concept and validate edge AI and agentic workflows.
• Produce customer-facing technical content in Arabic and English, including solution briefs, deployment guides, demo scripts, and case studies.
• Bring field insights to Edge and Physical AI product teams and help shape regional solution roadmaps.

Required qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
• At least 5–6 years in a technical role, such as software engineering, solutions engineering, technical consulting, or technical support with a strong engineering component.
• Strong knowledge of computer vision, video analytics, sensor fusion, IoT, geospatial intelligence, or real-time operational technologies.
• Strong understanding of edge AI, agentic AI, multi-agent systems, AI orchestration frameworks, and frameworks such as vLLM, OVMS, LangGraph, LangChain, and LlamaIndex.
• Hands-on ability to build agentic AI workflows, RAG systems, computer vision pipelines, integrations, APIs, and customer proofs of concept.
• Experience with Python, SQL, JavaScript/TypeScript, Bash, PyTorch, TensorFlow, ONNX, microservices, Kubernetes, and OpenShift.
• Ability to explain complex technical capabilities in terms of measurable business outcomes.
• Fluency in Arabic and English for customer meetings, presentations, and documentation; willingness to travel in Saudi Arabia and occasionally MENA.

Preferred qualifications

• Experience deploying Edge AI workloads across distributed edge architectures.
• Understanding of cognitive city, intelligent infrastructure, and critical infrastructure use cases such as transportation, public safety, utilities, energy, healthcare, and smart buildings.
• Familiarity with sovereign AI architecture, data governance, AI lifecycle management such as MLOps/AIOps, and secure AI deployments.
• Prior customer-facing experience at a technology company, system integrator, or consulting firm in MENA.
• Contributions to AI, edge computing, open-source, or developer communities through blogs, GitHub projects, presentations, workshops, or hackathons.

Work model

• The role is eligible for a hybrid work model, splitting time between an assigned Intel site and off-site work.
• Customer-site demonstrations and workshops are part of the role.

Role details