Solution Engineer — Edge Agentic AI

Intel Corporation; Riyadh; Hybrid; SAR 240,000 - 360,000; Full time

Benefits offered by this job

Hybrid work model

Travel support

Intel benefits package adapted for the

Job summary

Intel Corporation in Saudi Arabia seeks a Solution Engineer to drive Edge Agentic AI and PhyAI solutions for government and infrastructure customers across the MENA region. You will design, deploy, and scale AI workloads, deliver demos, and help shape regional roadmaps with the global product teams.

You will run PoCs at customer sites, produce bilingual Arabic/English technical content, and travel within Saudi Arabia and occasionally the MENA region.

Qualifications

• Bachelor's degree in CS, Software Eng, Information Systems or related field.
• 5-6+ years in a technical role with strong engineering component.
• Strong knowledge of computer vision, video analytics, IoT, geospatial intelligence, or real‑time OT.
• Strong understanding of edge AI; agentic AI frameworks such as vLLM, OVMS, LangGraph, LangChain, and LlamaIndex.
• Hands‑on developer capable of building agentic AI workflows, RAG systems, CV pipelines, integrations, APIs, and PoCs.
• Fluent in Arabic and English for meetings, presentations, and documentation.

Responsibilities

• Guide customers from discovery through deployment of agentic AI and PhyAI solutions.
• Partner with Saudi and GCC customers to enable solutions on Intel hardware for edge AI adoption.
• Conduct technical demos, workshops, and PoCs at customer sites.
• Create customer-facing technical content in Arabic and English (briefs, deployment guides, scripts, case studies).
• Provide field feedback to Edge & Phy AI product teams.

Skills

Computer Vision

Edge AI

Python

SQL

JavaScript/TypeScript

PyTorch

TensorFlow

ONNX

Kubernetes

OpenShift

Arabic & English

Education

Bachelor's degree in CS/Software Eng/Info Systems

Tools

Kubernetes

OpenShift

vLLM

OVMS

LangGraph

LangChain

LlamaIndex

Job description

About the role

Be the technical face of Intel's Edge Agentic AI and Physical AI (PhyAI) solutions for customers across Saudi Arabia and the broader MENA region. As a Solution Engineer, you will help city authorities, critical infrastructure operators, and government organizations design, deploy, and scale next-generation AI solutions for cognitive cities, autonomous operations, and intelligent edge-driven decision making. Your work will contribute directly to the Kingdom's transformation under Saudi Vision 2030 and the National Strategy for Data and AI (NSDAI). This role sits at the intersection of advanced engineering and customer engagement. You will deliver technical demonstrations, architect and execute proofs of concept, validate edge AI and agentic workflows, and drive customer success across the full AI lifecycle. Working closely with city, government, and AI solutions stakeholders, you will gather field insights, shape solution roadmaps for the region while working with Intel's global product, and ecosystem organizations.

What you'll do

Guide customers from initial discovery through successful deployment of agentic AI and Physical AI solutions powered by Intel technologies. Partner with Saudi and GCC customers to understand their use cases and enable solutions on Intel hardware accelerating the adoption of Edge Agentic and Phy AI. Run technical demos, workshops, and proofs of concept at customer sites. Produce customer-facing technical content in both Arabic and English: solution briefs, deployment guides, demo scripts, and case studies. Bring field signal back to the Edge & Phy AI product teams.

Qualifications

Required Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field. At least 5-6 years of experience in a technical role — 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 (OT). Strong understanding of edge AI solutions, AI & agentic AI frameworks such as vLLM,OVMS, LangGraph, LangChain, and LlamaIndex. Strong understanding of Agentic AI, multi‑agent systems, and AI orchestration frameworks. Hands‑on developer capable of building agentic AI workflows, RAG systems, computer vision pipelines, integrations, APIs, and customer PoCs. Experience in Python, SQL, JavaScript/TypeScript, Bash, PyTorch, TensorFlow, ONNX. Experience with microservices development and frameworks as Kubernetes and OpenShift. Ability to translate complex technical capabilities into measurable business outcomes. Fluent in both Arabic and English — able to lead a customer meeting, deliver a technical presentation, and write documentation in either language. Willingness to travel within Saudi Arabia and occasionally within the MENA region for client visits.

Preferred Qualifications Experience deploying Edge AI workloads and across distributed edge architectures. Understanding of Cognitive City, Intelligent Infrastructure, Critical Infrastructure use cases across 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, consulting firm within the MENA region Contributions to AI, edge computing, open‑source, or developer communities through technical blogs, GitHub projects, conference presentations, workshops, or hackathons.

Why join us

Be a founding member of Intel's customer success engineering presence in Saudi Arabia, working with the Kingdom's most ambitious AI customers. Hands‑on technical role with direct customer impact — see your work shipped into production at scale. Mentorship from senior engineers and customer success leaders, with structured early‑career development. Competitive compensation, travel support, and Intel's standard benefits package adapted for the Saudi market.

Job Type

Experienced Hire

Shift

Shift 1 (Saudi Arabia)

Primary Location

Saudi Arabia, Riyadh

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on‑site at their assigned Intel site and off‑site.

* Job posting details (such as work model, location or time type) are subject to change. * Intel’s official careers website. Find your next job and take on projects that shape tomorrow’s technology.