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.
• Produce customer-facing Arabic and English solution briefs, deployment guides, demo scripts, and case studies.
• Bring field insights to Edge and Physical AI product teams and contribute to regional solution roadmaps.
• Work with city, government, and AI solution stakeholders across the customer lifecycle.

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 engineering-focused technical support.
• 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, and AI orchestration frameworks, including 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, and ONNX.
• Experience with microservices and frameworks such as Kubernetes and OpenShift.
• Ability to translate technical capabilities into measurable business outcomes.
• Fluent Arabic and English for customer meetings, presentations, and documentation.
• Willingness to travel within Saudi Arabia and occasionally within the MENA region for client visits.

Preferred qualifications

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

Why join

• Be part of Intel's customer success engineering presence in Saudi Arabia and work with ambitious AI customers.
• The hands-on role offers direct customer impact and the opportunity to see solutions reach production at scale.
• Mentorship from senior engineers and customer success leaders, with structured early-career development.
• Competitive compensation, travel support, and standard benefits adapted for the Saudi market.

Work schedule

• Shift 1 (Saudi Arabia).

Work model

• The role is eligible for a hybrid work model, splitting time between the assigned Intel site and off-site work.
• Posting details, including work model and location, may change.