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Senior Solution Engineer

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: OmniOps
Full Time position
Listed on 2026-08-28
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, IT Consultant, Technical Sales
Salary/Wage Range or Industry Benchmark: 350000 - 550000 SAR Yearly SAR 350000.00 550000.00 YEAR
Job Description & How to Apply Below

Omni Ops is a Riyadh-based technology solutions provider, serving organizations across Saudi Arabia and beyond. With offices in Jordan, Egypt, and Morocco, we specialize in empowering businesses to migrate and scale their AI technology infrastructure confidently, achieving a high level of maturity in their digital landscapes. Our comprehensive services and products guarantee seamless cloud migration, scalability, and management, ensuring optimal performance and consistent reliability for our valued partners.

Role Description

We are looking for a highly experienced Senior Solution Engineer to join our Riyadh team. In this role, you will serve as a trusted technical advisor, partnering with customers to design innovative AI-driven solutions that address complex business challenges. You will work closely with Sales, Product, Engineering, and executive stakeholders to lead technical engagements, shape solution strategies, and position Omni Ops as a strategic AI transformation partner.

The ideal candidate combines strong technical expertise with excellent customer-facing, consulting, and presentation skills, and has hands‑on experience designing enterprise AI, cloud, and data solutions.

Key Responsibilities
  • Partner with Sales and Business teams to understand customer objectives, business challenges, and technical requirements throughout the sales lifecycle.
  • Lead technical discovery sessions, workshops, and architecture discussions to identify customer needs and define solution success criteria.
  • Design scalable, secure, and cloud‑native AI solution architectures tailored to customer environments.
  • Translate business requirements into AI‑driven solutions leveraging Generative AI, Machine Learning, Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), intelligent agents, MLOps, data platforms, and cloud technologies.
  • Deliver executive presentations, technical demonstrations, architecture reviews, and Proof of Concept (PoC) engagements.
  • Prepare and lead technical responses for RFPs, RFIs, proposals, solution architectures, and technical documentation.
  • Collaborate with Product Management, Data, and Engineering teams to ensure proposed solutions align with customer requirements and product capabilities.
  • Lead customer workshops focused on AI strategy, enterprise architecture, data governance, intelligent automation, and digital transformation.
  • Ensure a seamless transition from presales to delivery by validating solution architecture, implementation approach, technical scope, assumptions, and risks.
  • Stay up to date with emerging AI technologies, cloud platforms, and industry trends to continuously strengthen Omni Ops' solution portfolio.
  • Mentor junior Solution Engineers and technical team members through coaching, technical reviews, and knowledge sharing.
  • Represent Omni Ops during executive customer meetings, partner engagements, conferences, and technical events.
  • Contribute to presales methodologies, reusable solution assets, best practices, and technical playbooks.
Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.
  • A Master's degree is considered an advantage.
  • 5+ years of experience in Solution Engineering, Presales, Solutions Architecture, Cloud Consulting, or Enterprise Software.
  • Proven experience leading enterprise customer engagements from technical discovery through solution design and successful technical closure.
  • Experience working with enterprise customers across cloud, AI, or digital transformation initiatives.
  • Strong knowledge of Artificial Intelligence, Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, MLOps, and enterprise AI architectures.
  • Hands‑on experience developing or supporting Generative AI and Agentic AI applications.
  • Experience with Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP), including cloud‑native architectures and integration patterns.
  • Solid understanding of APIs, enterprise integration, networking, identity and access management, security, containers, and modern data platforms.
  • Experience designing enterprise‑scale cloud and…
Position Requirements
10+ Years work experience
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