AI Solution Architect — Edge Agentic and Physical AI

Intel Corporation; Riyadh; Hybrid; SAR 350,000 - 600,000; Full time

Benefits offered by this job

Relocation support

Saudi market benefits

Job summary

Intel Corporation in Riyadh seeks an experienced Solutions Engineer to design, deploy, and scale Edge Agentic AI and Physical AI initiatives across Saudi Arabia and the wider region.

You will translate customer requirements into architectures, develop PoCs, and produce customer-facing assets. Strong coding skills and multi-agent frameworks are essential, with Arabic and English fluency and willingness to travel within the region.

Qualifications

• Bachelor's degree in a technical field.
• 5–6+ years in Solution/AI/Software Engineering or Technical Consulting.
• Strong software development background; able to code and guide teams.
• Proficient in English and Arabic, with strong communication skills.

Responsibilities

• Lead design and architecture of end-to-end Edge Agentic AI and Cognitive City solutions.
• Engage stakeholders to translate goals into scalable technical projects.
• Develop proof-of-concepts showcasing sovereign edge AI architectures.
• Create technical assets: blueprints, references, deployment guides, workshops.

Skills

Python

SQL

JavaScript

Docker

Vector Databases

Edge AI

Multi-agent frameworks

AI orchestration

REST APIs

Microservices

Kubernetes

OpenShift

LangGraph

LangChain

LlamaIndex

vLLM

OVMS

MCP-based agent architectures

Education

Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, AI, Data Science, or related technical discipline

Tools

Docker

Kubernetes

OpenShift

REST APIs

Job description

About the role

Join Intel's Edge Agentic AI team 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).

Why join us

Help shape the future of Cognitive Cities, Edge Agentic AI, and Physical AI across Saudi Arabia and the ME region.

Influence strategic customer deployments that support Vision 2030 initiatives.

Gain exposure to emerging technologies spanning AI agents, digital twins, robotics, autonomous operations, and sovereign AI platforms.

Competitive compensation, relocation support where applicable, and Intel's standard benefits package adapted for the Saudi market.

Job Type and Work Model

Job Type: Experienced Hire. Shift: Shift 1 (Saudi Arabia). Primary Location: Saudi Arabia, Riyadh. 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.

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.