Solution Engineer — Edge Agentic AI

Intel is hiring a Solution Engineer — Edge Agentic AI in Riyadh, Saudi Arabia. Level rates it ; you can apply on Intel.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
Tools and skills the posting cites include LangChain, LlamaIndex and LangGraph.
Level classifies it as a senior role.
Level lists 860 other open roles at Intel.
The role was posted in the last few days.

AI in this role

LangChainLlamaIndexLangGraphvLLMPyTorchTensorFlow

ragai-agentsml-opscomputer-vision

Job Details:

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

Additional Locations:

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.

How we rate this

Solution Engineer — Edge Agentic AI at Intel rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Solution Engineer — Edge Agentic AI is an open job at Intel.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Saudi Arabia, Riyadh.
The job was posted on November 6, 2026.
Seniority: senior.
Applications are handled by Intel. Apply on Intel

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsML OpsComputer visionLangChainLlamaIndexLangGraphvLLM

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
How do you monitor a model once it's live, and how do you know it needs retraining?
Walk me through a computer vision problem you solved, from raw data to a deployed model.
Walk me through how you've used LangChain in your day-to-day work.

Adapt your resume

List these exact terms on your resume: RAG, AI agents, ML Ops, Computer vision, and LangChain. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker