About the role
Be the technical face of the company'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 the company's global product, and ecosystem organizations.
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What you'll do
- Guide customers from initial discovery through successful deployment of agentic AI and Physical AI solutions powered by the company's technologies.
- Partner with Saudi and GCC customers to understand their use cases and enable solutions on the company's 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 such 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, and 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, or 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 the company'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 the company's standard benefits package adapted for the Saudi market.
Job Type:
Experienced Hire
Shift:
Shift 1 (Saudi Arabia)
Primary Location:
Saudi Arabia, Riyadh
Work Model for this Role
This role will be eligible for a hybrid work model which allows employees to split their time between working on-site at their assigned company's site and off-site.
