116 وظيفة Associate Cybersecurity Engineer Saudi National في Riyadh

Role Purpose

EjadTech is seeking a senior, client-facing Subject Matter Expert in AI and Emerging Technologies who can help shape demand, qualify opportunities, define solution direction, and support credible technical conversations with enterprise and government stakeholders in Saudi Arabia. The role is designed for the market reality in which many clients are still building awareness, need trusted guidance before they buy, and expect a technically credible advisor who can connect innovation ambition with practical implementation pathways.

This position sits between traditional sales, technical architecture, and delivery assurance. It is intended for a professional who can engage executives, accompany leadership and sales teams in strategic meetings, translate emerging technology concepts into business value, frame feasible solution approaches, support indicative pricing and commercial shaping, and give clients confidence that proposed AI and emerging technology initiatives can move responsibly from idea to implementation.

The role is not a pure delivery role and not a pure sales role. It is a forward-facing consulting and solution-shaping role focused on AI-first growth, emerging technology opportunity development, and strong continuity between what is proposed, what is sold, and what can realistically be delivered.

Role Mandate

The SME will serve as Ejad Tech’s technical and advisory front for AI and emerging technologies during client engagement, presales, executive awareness discussions, solution shaping, and selected transition-to-delivery activities. The role is expected to strengthen client confidence, improve technical credibility during pursuit stages, and help the business create demand in markets where customers may not yet have fully defined AI or emerging technology requirements.

The successful candidate should be able to operate in the space between deep technologists and non-technical commercial stakeholders: strong enough to discuss architecture, integration, delivery implications, use-case feasibility, governance, and vendor options, while also being commercially aware enough to support opportunity qualification, sizing assumptions, solution packaging, and persuasive executive conversations.

Key Responsibilities

• Act as a senior, client-facing advisor on AI, Generative AI, machine learning, intelligent automation, and relevant emerging technologies for government and enterprise clients.

• Accompany Sales, Business Development, and Executive Leadership in strategic client meetings, executive briefings, workshops, and awareness sessions to educate stakeholders, shape demand, and position practical technology opportunities.

• Lead discovery, innovation, use-case, and solution-design workshops; translate business challenges into clear value cases, technology use cases, and phased implementation roadmaps.

• Qualify AI and emerging-technology opportunities by assessing business value, feasibility, data readiness, integration needs, organizational readiness, delivery complexity, and key risks.

• Define high-level solution scope, architecture, assumptions, dependencies, implementation approach, and commercial considerations; support proposals, RFPs, bids, presentations, demonstrations, and indicative pricing.

• Recommend the appropriate solution approach, including consulting, PoCs, accelerators, partner technologies, platforms, custom development, or integrated solutions.

• Design and assess AI-enabled solutions across GenAI, LLM assistants, knowledge systems, NLP, intelligent search, automation, computer vision, analytics, and domain-specific AI use cases.

• Shape integrated solutions that combine AI with data platforms, cloud, APIs, enterprise applications, IoT, digital twins, edge, XR, and other emerging technologies where relevant.

• Guide PoCs, prototypes, pilots, and demonstrations, ensuring a clear and credible path from concept to secure, scalable production implementation.

• Ensure proposed solutions consider Saudi regulatory and governance requirements, including SDAIA, NDMO, PDPL, privacy, cybersecurity, data governance, responsible AI, human oversight, and model risk.

• Build trusted-advisor relationships with senior stakeholders and contribute market insights, reusable offerings, solution frameworks, accelerators, and thought-leadership assets.

• Ensure continuity between presales and delivery by clarifying solution intent, architecture, assumptions, dependencies, governance requirements, and implementation risks; provide technical assurance without acting as the delivery owner.

Candidate Profile

The ideal candidate is not a pure salesperson and not a narrow specialist engineer. This role is intended for a market-facing consultant who combines strong technical literacy in AI and emerging technologies with solution architecture thinking, client engagement maturity, and enough commercial awareness to support opportunity development and presales confidence.

The successful candidate should be comfortable speaking to C-level executives, business sponsors, architects, delivery leads, and partner vendors. The person should be able to simplify complex technologies without oversimplifying them, create confidence without overpromising, and shape practical next steps in environments where customers may still be forming their technology agenda.

Required Experience

• Bachelor’s degree in computer science, Artificial Intelligence, Data Science, Computer Engineering, Software Engineering, Information Technology, or a related field; a Master’s degree is preferred.

• 8+ years of relevant experience across technology consulting, solution architecture, digital transformation, enterprise technology advisory, data and AI, or related domains.

• Strong practical understanding of AI/ML, Generative AI, LLM-oriented solution patterns, AI-enabled automation, and modern enterprise technology architectures.

• Demonstrated experience translating business needs into feasible technology use cases, solution concepts, and implementation approaches.

• Experience participating in or shaping PoCs, prototypes, pilots, or production-oriented technology initiatives.

• Strong understanding of enterprise integration, APIs, cloud environments, data platforms, cybersecurity, and solution scalability considerations.

• Experience engaging clients in workshops, discovery sessions, assessments, presentations, or solution-definition activities.

• Strong exposure to Saudi government entities, regulated sectors, or large enterprises is highly preferred.

• Arabic communication skills are strongly preferred for client-facing effectiveness in the Saudi market.

Preferred Experience

• Experience in technology consulting, innovation consulting, AI solution advisory, digital transformation, or advanced technology services.

• Experience supporting presales, proposal development, solution shaping, or technical-commercial discussions.

• Familiarity with Saudi public and private sector digital environments, data governance expectations, and responsible AI considerations.

• Experience evaluating technology vendors, partner offerings, and build-versus-buy options.

• Exposure to sectors such as government, defense, smart cities, utilities, transport, education, health, or other strategic enterprise domains in Saudi Arabia.

Core Competencies & Technology Expertise

AI-first advisory and solution shaping across Generative AI, LLMs, AI assistants, machine learning, intelligent automation, data platforms, cloud, APIs, and enterprise integration. Strong capability in executive engagement, use-case prioritization, high-level architecture, presales, workshops, commercial scoping, and delivery assurance.

Familiarity with emerging technologies such as IoT, digital twins, metaverse/XR, edge computing, computer vision, smart platforms, and technology-partner ecosystems to develop integrated, business-focused solutions.

Success Measures

Success in this role will be measured by a combination of market impact, technical credibility, and opportunity quality, including:

• Improved quality of client-facing AI and emerging technology conversations

• Stronger executive engagement and demand-shaping effectiveness

• Better-qualified opportunities

• Greater confidence in solution scope, assumptions, and indicative pricing

• Higher conversion of advisory conversations into structured opportunities

• Increased contribution to AI and emerging technology led revenue growth

• Development of reusable solution assets, architectures, and go-to-market content

Preferred Certifications

AI, machine learning, or Generative AI, Cloud architecture or cloud AI platforms, Solution architecture or enterprise architecture, Data governance, cybersecurity, or privacy, TOGAF or equivalent architecture frameworks, ISO/IEC 42001, responsible AI, or related AI governance domains