SME AI & Emerging Technologies📣 Job Ad

About EjadTech and the Role

EjadTech is seeking a full-time Subject Matter Expert (SME) in AI & Emerging Technologies to join its team in Riyadh. This senior, client-facing role is central to shaping demand, qualifying opportunities, and defining solution direction for enterprise and government stakeholders across Saudi Arabia. The position requires 5-10 years of experience and involves acting as a trusted advisor, bridging innovation ambitions with practical implementation pathways. It combines elements of sales, technical architecture, and delivery assurance, focusing on engaging executives and translating emerging technology concepts into business value.

The SME will serve as EjadTech’s technical and advisory front for AI and emerging technologies during client engagement, presales, executive awareness discussions, and solution shaping. The objective is to strengthen client confidence, enhance technical credibility during pursuit stages, and generate demand in markets where AI and emerging technology requirements may not yet be fully defined. This role is suited for a market-facing consultant with strong technical literacy, solution architecture thinking, client engagement maturity, and commercial awareness.

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.

Measures of Success

Success in this role will be evaluated based on 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.

Required Experience

Candidates should possess 8+ years of professional experience, demonstrating the ability to:

• Translate business needs into feasible technology use cases, solution concepts, and implementation approaches.
• Participate in or shape PoCs, prototypes, pilots, or production-oriented technology initiatives.
• Exhibit a strong understanding of enterprise integration, APIs, cloud environments, data platforms, cybersecurity, and solution scalability considerations.
• Engage clients effectively in workshops, discovery sessions, assessments, presentations, or solution-definition activities.
• Demonstrate strong exposure to Saudi government entities, regulated sectors, or large enterprises (highly preferred).

Preferred Qualifications

• 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.

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.