Swimming Pool Technician Jobs - Jeddah Saudi

The Senior BIM Manager leads all Building Information Modeling (BIM) strategy, implementation, and governance across a large-scale design-build construction project. This role ensures integrated digital workflows, high-quality BIM deliverables, and seamless collaboration among multidisciplinary teams (architects, engineers, contractors, and stakeholders). The Senior BIM Manager drives innovation, enforces standards, and delivers value through digital coordination, risk mitigation, and lifecycle data management. DUTIES PREFORMED % of Time Key Accountabilities Key Activities 20% Design-Stage BIM Governance & Integration Lead and govern BIM strategy during the design-development stages, ensuring coordinated, constructible, and information-rich models aligned with Client EIR, approved BEP, project BIM standards, and contractual obligations. Ensure BIM supports design intent, constructability, and multidisciplinary coordination across the full Design–Build lifecycle, from concept through construction and handover. Ensure design-stage information is fit for downstream use, including construction planning, procurement, digital delivery, and asset handover. 25% BIM Governance, Compliance & Quality Assurance Establish, implement, and enforce BIM governance frameworks, information management procedures, and QA/QC controls in line with ISO 19650, contractual requirements, and project standards. Review, audit, and approve BIM deliverables from consultants, and subcontractors to ensure compliance with LOD/LOIN, BEP, MIDP/TIDP, and information delivery workflows. Govern and oversee the effective operation of the Common Data Environment (CDE), including approvals, version control, security, and information traceability. Maintain BIM compliance records, coordination logs, review registers, and audit trails, and support internal, client, PMC, and third-party audits, ensuring closure of non-conformities. 25% BIM Project Management & Delivery Control Plan, manage, and control BIM milestones, deliverables, and interfaces in alignment with the overall project programme and construction strategy. Define BIM scope, deliverables, KPIs, and performance requirements, and monitor consultant and subcontractor performance against agreed programmes and information delivery plans. Identify, manage, and escalate BIM-related technical, interface, and delivery risks, proposing mitigation measures to avoid programme, cost, or quality impacts. Coordinate BIM activities with engineering, construction, planning, and commercial teams to directly support site execution and informed decision-making. Support contractual and commercial management of BIM scope, including scope clarifications, variations, claims, and change control related to BIM and digital delivery. Lead the procurement, appointment, and oversight of third-party BIM and digital service providers (e.g. laser scanning, reality capture, specialist modeling). 10% Stakeholder & Client Interface Act as the primary BIM point of contact with the Client, PMC, authorities, JV partners, designers, and key stakeholders. Lead BIM-related coordination meetings, technical reviews, and governance workshops. Provide structured BIM progress reporting, risk visibility, and digital performance insights to senior project and executive leadership. Ensure BIM-related decisions, approvals, and actions are formally documented and aligned with project governance processes. 10% Team Leadership & Capability Development Lead and manage the project BIM team, defining clear roles, responsibilities, authorities, and performance objectives. Provide technical leadership, mentorship, and oversight to ensure consistent BIM delivery across all packages and disciplines. Support team capability development through guidance, reviews, and targeted training aligned with project and organizational digital objectives. 10% Digital Innovation & Continuous Improvement Evaluate and implement relevant digital construction and information management technologies where they add measurable project value. Capture lessons learned and contribute to the continuous improvement of BIM standards, governance frameworks, and digital delivery practices. <br><br><br>WORK CONTACTS Internal External Technical Director Lead Design Consultant Design Manager Subcontractors Operation Team Vendors / Suppliers Procurement Team Client / PMC BIM Representatives <br>WORKING CONDITIONS Working Environment Site office Degree of Risk - Physical Low to Medium Risk <br>JOB SPECIFICATIONS Industry / Domain Design–Build construction projects with BIM-led digital delivery. Project engineering–based BIM governance across design, construction, and handover stages on large, multidisciplinary developments. Necessary Knowledge and Experience Minimum 15+ years of relevant experience in BIM, digital engineering, or design management within large-scale Design–Build or complex construction project environments. Demonstrated senior-level experience leading BIM governance, coordination, and information management across multi-disciplinary teams throughout design, construction, and handover stages. Proven experience procuring, managing, and overseeing third-party BIM service providers and governing BIM deliverables in accordance with contractual and project requirements. Strong working knowledge of ISO 19650, including information management principles, Common Data Environment (CDE) operation, and information delivery planning (EIR, BEP, MIDP/TIDP). Experience reviewing, governing, and auditing Lead Design Consultant BIM outputs to ensure compliance, quality, coordination, and suitability for downstream use. Strong senior project leadership capability, with proven experience interfacing with clients, consultants, and internal stakeholders on complex, high-value projects. Excellent command of English, both written and spoken. Education and Certification Minimum Requirements Bachelor’s degree in engineering, Architecture, Construction Management, or a related discipline. (Master’s degree is an advantage) BIM-related professional certifications (e.g. ISO 19650, BIM management, digital engineering) are an advantage but not mandatory Job Specific and Technical Skills Advanced proficiency in BIM authoring, coordination, and review platforms (e.g. Revit, Navisworks, Synchro, ACC/BIM 360, or equivalent). Strong capability in establishing and enforcing BIM standards, BIM Execution Plans (BEPs), information delivery plans (MIDP/TIDP), and digital governance frameworks Proficient in Common Data Environment (CDE) management, including information workflows, approvals, version control, and audit trails in accordance with ISO 19650. Good understanding of BIM-enabled project uses across design, construction, and handover, including sequencing, cost integration, and asset information. Strong analytical and problem-solving skills, with the ability to identify BIM-related risks, data gaps, and coordination issues. Effective technical communication and leadership skills to coordinate across engineering teams, BIM service providers, and Client/PMC representatives.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Partner Sales Director - Global System Integrator (GSI) based in Saudi Arabia.<br><br>This is a senior, globally focused partner sales role responsible for accelerating growth through strategic Global System Integrator relationships. You will shape and execute partner strategies that expand adoption of open-source, Linux, cloud, and enterprise technologies. The role combines executive relationship management with hands-on ownership of sell-to, sell-through, and sell-with motions. You will work across engineering, sales, marketing, and product teams to identify opportunities and turn customer needs into scalable solutions. Success will depend on your ability to influence stakeholders from technical teams through C-suite executives. The environment is highly distributed, autonomous, fast-moving, and designed for people who thrive with significant ownership. International travel will be an important part of building relationships and driving joint business outcomes.<br><br>Accountabilities<br><br>Build and maintain strategic relationships with Global System Integrator partners, creating long-term engagement and strong alignment around technology and business opportunities. Develop and execute partner strategies covering sell-to, sell-through, and sell-with motions, with a focus on increasing market share, adoption, and partner-driven revenue. Lead business interactions across partner organizations, from engineers and sales teams through senior executives and C-suite stakeholders. Develop a deep understanding of partner organizations, sales structures, capabilities, and go-to-market models to identify areas for joint growth. Negotiate contracts, commercial agreements, and business terms while ensuring mutually valuable and sustainable partnerships. Collaborate closely with marketing, sales engineering, product management, and other internal teams to deliver partner and business objectives. Capture customer and partner requirements, identify gaps in existing offerings, and create new opportunities for technology adoption and digital transformation. Lead executive interlocks, customer workshops, sales events, public presentations, and other strategic engagements that strengthen partner relationships and generate pipeline. Act as a voice of the partner internally, bringing market intelligence, customer needs, and partner feedback into business and product decisions. Travel internationally as needed, potentially up to 40% of the time, to support partner engagements, customer opportunities, and strategic business initiatives.<br><br>Requirements<br><br>Extensive experience in alliance management, channel sales, indirect sales, or a comparable partner-focused commercial leadership role. Proven experience working with Global System Integrators and understanding their organizational structures, sales motions, and business models. Strong knowledge of Linux, open-source technologies, and the broader cloud software ecosystem, including experience with Open Stack, virtualization, containers, or related technologies. Demonstrated ability to develop strategic partnerships, influence senior stakeholders, and manage complex sales cycles involving multiple organizations and decision-makers. Strong commercial skills, including experience negotiating contracts, commercial terms, and partnership agreements. Ability to translate customer requirements into actionable opportunities, assess capability gaps, and develop solutions that create measurable business value. Excellent communication, presentation, negotiation, and relationship-building skills, with confidence engaging audiences ranging from technical experts to C-suite executives. Highly autonomous and disciplined, with a hands-on, results-oriented approach and the ability to move initiatives forward without extensive supervision. Comfortable operating in a fast-paced, high-pressure environment with ambitious growth and performance objectives. Genuine enthusiasm for open-source technology, Linux, cloud platforms, and the broader mission of accelerating digital transformation. Willingness and ability to travel internationally and participate in regular in-person team events, typically 2–4 times per year.<br><br>Benefits<br><br>Performance-driven annual bonus or commission in addition to base compensation. Compensation reviewed annually, with adjustments reflecting geography, experience, and performance. Fully distributed, remote-first working environment. Twice-yearly in-person team sprints in locations around the world. Annual personal learning and development budget of USD $2,000. Recognition and performance rewards. Annual holiday leave. Maternity and paternity leave. Team Member Assistance Program and wellness platform. Opportunities to travel internationally and collaborate with colleagues across a global organization. Priority Pass access and travel upgrades for eligible long-haul company events. Global career exposure within a highly distributed technology environment.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Director of Operations, Data Science based in Saudi Arabia.<br><br>This is a senior, cross-functional role connecting business strategy, data science, technology, and client delivery.<br><br>You will help turn complex data and analytical capabilities into practical solutions that improve business performance.<br><br>The role combines operational leadership with product-oriented thinking and hands-on Agile development management.<br><br>You will coordinate high-impact data science workstreams across strategy, growth, finance, technology, and other teams.<br><br>You will also support client engagements, workshops, and business development opportunities by translating technical insights into clear business value.<br><br>The environment is collaborative and fast-moving, bringing together technologists, data scientists, creators, and subject-matter experts.<br><br>This is an opportunity to shape how data, intelligence, and AI-enabled capabilities are applied to solve meaningful business challenges.<br><br>Accountabilities<br><br>Lead business optimization strategy: Act as a key liaison between business stakeholders and the Data Science team, helping identify opportunities where data and analytics can address organizational priorities and improve outcomes. Coordinate cross-functional initiatives: Facilitate collaboration across Growth, Strategy, Enablement, Finance, technology, product, and other business functions to ensure data science priorities align with broader organizational and technology roadmaps. Manage Agile delivery: Work with senior data science leadership to identify and prioritize high-impact initiatives, translate business requirements into technical direction, and manage epics, backlogs, sprint planning, grooming, reviews, and ongoing delivery. Support data science projects: Partner with opportunity owners and project leads to develop data-driven solutions for selected clients, helping move initiatives from business requirements through execution and delivery. Facilitate client engagement: Participate in in-person client workshops, requirements-gathering sessions, results presentations, and business development meetings, helping connect technical capabilities with client needs. Translate data into business insights: Turn complex datasets, analytical outputs, and technical concepts into clear, compelling recommendations that can be understood and acted upon by executives, clients, and cross-functional teams. Coordinate with technical teams: Work closely with data science, agency technology, product, and other technical stakeholders to ensure priorities, dependencies, and delivery plans remain aligned. Support data-driven tools and reporting: Help guide the development and use of dashboards, analytics solutions, and intelligence tools that enable better business decisions. Drive operational excellence: Establish effective processes for prioritization, communication, delivery tracking, and continuous improvement across data science workstreams.<br><br>Requirements<br><br>Strategic and product-oriented experience: Demonstrated experience connecting business priorities with technical or data-driven solutions, ideally with a background in product ownership, operations, strategy, or data science program management. Data science exposure: Strong understanding of how data science teams operate and how analytical capabilities can be translated into practical business solutions. Agile delivery management: Experience managing Agile development processes, including epic planning, backlog prioritization, sprint planning, backlog grooming, sprint reviews, and delivery coordination. Cross-functional leadership: Ability to facilitate conversations and align stakeholders across business, technology, data, finance, strategy, and other functions. Client-facing capability: Comfortable participating in client workshops, requirements sessions, presentations, and business development discussions. Communication: Excellent written and verbal communication skills, with the ability to explain sophisticated analytical or technical concepts in clear, accessible business language. Technical understanding: Solid knowledge of database concepts and familiarity with data, analytics, and technology environments. Project management tools: Comfortable working with project management and collaboration platforms such as Jira or comparable tools. Business intelligence: Experience with Tableau, Power BI, or similar BI platforms and the ability to understand how dashboards and visualizations can support decision-making. Leadership and influence: Ability to prioritize competing demands, build alignment, facilitate productive discussions, and drive initiatives forward without relying solely on formal authority. Problem-solving mindset: Strong analytical thinking and the ability to identify opportunities, clarify ambiguous requirements, and develop practical approaches to complex business challenges. Collaborative approach: Comfortable working alongside data scientists, technologists, knowledge workers, subject-matter experts, and business leaders in a dynamic environment.<br><br>Benefits<br><br>Annual compensation range of $119,000–$160,000, depending on experience. Health, vision, and dental insurance.401(k) benefits. Employee stock purchase plan. Vacation, personal days, and paid holidays. Disability and life insurance options. Flexible Spending Account (FSA) and Health Savings Account (HSA) plans, subject to applicable plan terms. Opportunity to work remotely. Collaborative environment focused on data, technology, innovation, and meaningful business impact. Inclusive workplace culture that values diverse backgrounds, perspectives, strengths, and contributions.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Company Description MUAF – Military Uniforms & Accessories Factory is a prominent manufacturer based in Al-Kharj , specializing in the production of high-quality uniforms, military gear, and civilian apparel. Our commitment to quality, innovation, and customer satisfaction has made us a trusted partner to a range of sectors, including defense, law enforcement, and private enterprises. We pride ourselves on delivering durable, comfortable, and reliable solutions to our clients.<br>Job Purpose Responsible for the development, maintenance, support, troubleshooting, and continuous improvement of software applications and industrial machine systems within the manufacturing environment. The role combines Software Engineering and Industrial Software Engineering, with responsibility for software applications, databases, system integration, Industrial PCs, machine-related software, HMI/SCADA systems, and IT/OT connectivity. The position works closely with IT, Production, Maintenance, Engineering, and machine vendors to ensure the reliability, availability, security, and effective integration of software and industrial systems supporting manufacturing operations. Key Accountabilities1. Software Engineering & Application Support Develop, maintain, enhance, and support software applications according to business and operational requirements. Analyze business and technical requirements and translate them into effective software solutions. Develop and maintain applications, utilities, and tools required to support manufacturing operations. Perform software testing, debugging, troubleshooting, and issue resolution. Develop and maintain databases and SQL queries required by applications and operational systems. Develop and maintain APIs and system interfaces where required. Manage software versions, configurations, updates, and application dependencies. Maintain appropriate technical documentation, source code, configurations, and system specifications. Identify opportunities to improve application performance, reliability, usability, and maintainability.2. Industrial Software & Machine Systems Support and maintain software applications used for the operation, monitoring, and control of industrial machines and production equipment. Install, configure, maintain, and troubleshoot software running on Industrial PCs and machine operator workstations. Support machine-related applications, including HMI, SCADA, and other industrial software platforms. Troubleshoot software and communication issues between industrial machines, controllers, Industrial PCs, and related systems. Maintain machine software configurations, parameters, licenses, backups, and critical system files. Support machine software installation, commissioning, upgrades, migrations, and replacements. Maintain software compatibility between machine applications, operating systems, hardware, and related industrial components. Coordinate with machine manufacturers and software vendors to resolve complex technical issues.3. IT/OT Integration Support the integration between Information Technology (IT) and Operational Technology (OT) environments. Support the exchange of data between machines, production systems, databases, and enterprise applications. Develop or support solutions for automated collection, processing, and reporting of machine and production data. Support integration with systems such as SAP, MES, databases, BI/reporting platforms, and other enterprise applications where applicable. Support industrial communication technologies and protocols such as OPC/OPC UA where applicable. Work with Network and Infrastructure teams to ensure reliable connectivity between industrial systems and approved IT systems.4. Manufacturing & Production Support Provide technical software support to Production, Maintenance, Engineering, and other manufacturing teams. Respond to software-related incidents that may affect machine availability or production continuity. Analyze recurring issues and implement corrective and preventive solutions. Participate in machine installation, commissioning, testing, and acceptance activities from the software and IT/OT perspective. Support production during critical software incidents and planned maintenance activities. Ensure appropriate change management procedures are followed before implementing changes to production systems.5. Backup, Recovery & Business Continuity Maintain reliable backups of machine software, configurations, databases, applications, and critical system files. Periodically verify the integrity and recoverability of backups. Maintain recovery procedures for critical machine-related software and systems. Support disaster recovery and business continuity activities for critical industrial applications.6. Cybersecurity & Compliance Apply IT and OT cybersecurity requirements to machine-related software and Industrial PCs. Coordinate with the Cybersecurity team to identify and mitigate cybersecurity risks affecting industrial systems. Ensure appropriate controls are applied to software installation, access, updates, remote access, and system changes. Support vulnerability remediation and security patching in accordance with approved procedures and production requirements. Ensure compliance with company IT policies, cybersecurity standards, and change management procedures.7. Vendor & Stakeholder Management Coordinate with machine manufacturers, software vendors, system integrators, and external technical support providers. Define and communicate technical requirements to vendors. Follow up on technical issues, software updates, patches, licenses, and support agreements. Participate in technical evaluations and acceptance testing of new machine software and systems. Maintain appropriate technical documentation and vendor information. Technical Skills & Competencies Software Engineering Programming and software development. Application development and maintenance. SQL and database management. API development and system integration. Software testing and debugging. Version control systems such as Git. Windows-based application environments. Industrial Systems Industrial PC configuration and support. HMI and SCADA systems. Basic understanding of PLCs and industrial automation. Machine control and monitoring software. Industrial communication and networking. OPC / OPC UA is an advantage. MES and manufacturing systems is an advantage. IT/OTUnderstanding of IT and OT environments. IT/OT system integration. Industrial networking fundamentals. Cybersecurity principles for industrial environments. Backup and recovery of industrial systems. Qualifications Bachelor's degree in Software Engineering, Computer Science, Information Technology, Computer Engineering, Automation Engineering, or a related field. Professional certifications in software development, industrial automation, networking, cybersecurity, or related technologies are an advantage. Experience3–5 years of relevant experience in software engineering, industrial software, application support, or a similar role. Experience in a manufacturing or industrial environment is preferred. Experience supporting Industrial PCs and machine-related software. Experience with HMI, SCADA, PLC-related systems, databases, or industrial automation is an advantage. Experience in IT/OT integration and manufacturing systems is an advantage. Behavioral & Professional Competencies Strong analytical and problem-solving skills. Excellent troubleshooting and diagnostic abilities. Ability to work under pressure, particularly during production-critical incidents. Strong communication and interpersonal skills. Ability to work effectively with IT, Production, Maintenance, and Engineering teams. Ability to communicate effectively with machine manufacturers and external vendors. Strong documentation and organizational skills. Attention to detail and commitment to system reliability. Ability to learn new technologies and industrial software platforms. Strong sense of responsibility and ownershi

Role Purpose Ejad Tech 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 Gen AI, 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