Senior Solution Engineer

OmniOps; Riyadh; On-site; SAR 350,000 - 550,000; Full time

Job summary

OmniOps is a Riyadh‑based technology solutions provider specializing in AI-driven cloud migration, scalability, and reliable data platforms. The Senior Solution Engineer will partner with Sales, Product, Engineering, and executives to shape strategic AI solutions and lead technical engagements.

The role requires strong customer-facing consulting, architecture design, and hands‑on experience with Generative AI, LLMs, RAG, MLOps, and cloud platforms across Azure, AWS, and GCP.

Qualifications

• Bachelor’s degree in CS/IT/SE or related field.
• Master’s degree is advantageous.
• 5+ years in solution engineering, presales, or architecture.
• Experience leading enterprise customer engagements.
• Experience with cloud, AI, or digital transformation initiatives.

Responsibilities

• Understand customer objectives and requirements across sales cycle.
• Lead discovery sessions, architecture discussions, and success criteria.
• Design scalable, cloud‑native AI solution architectures.
• Translate business needs into AI‑driven solutions using LLMs, RAG, MLOps.
• Deliver PoCs, technical demos, and architecture reviews.
• Prepare responses for RFPs/RFIs and technical documentation.
• Collaborate with Product, Data, and Engineering teams.
• Lead customer workshops on AI strategy and enterprise architecture.
• Ensure smooth presales to delivery transition and assess risks.

Skills

Solution architecture

Customer engagement

Communication

Presales expertise

Leadership

Education

Bachelor's degree in CS/IT/SE

Master's degree (advantage)

Tools

Azure

AWS

GCP

Job description

OmniOps 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 OmniOps 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 OmniOps' solution portfolio.
• Mentor junior Solution Engineers and technical team members through coaching, technical reviews, and knowledge sharing.
• Represent OmniOps 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 AI architectures.
• Experience delivering Proofs of Concept (PoCs), technical workshops, demonstrations, and executive presentations.

Skills & Competencies

• Excellent solution architecture and technical consulting skills.
• Strong customer engagement and stakeholder management capabilities.
• Consultative selling mindset with the ability to align technology solutions to business outcomes.
• Excellent communication, presentation, and documentation skills.
• Strong analytical and problem‑solving abilities.
• Ability to manage multiple customer engagements in a fast‑paced environment.
• Leadership and mentoring experience with junior technical team members.
• Collaborative mindset with the ability to work effectively across Sales, Product, Engineering, and Delivery teams.

Preferred Qualifications

• AI, cloud, or enterprise architecture certifications (Microsoft Azure, AWS, Google Cloud, Kubernetes, or equivalent).
• Experience working for AI, cloud, or enterprise software vendors, system integrators, or technology consulting firms.
• Knowledge of enterprise AI governance, responsible AI practices, and modern data architectures.
• Familiarity with digital transformation initiatives across enterprise and government sectors in the GCC.