Lead Digital Solutions Analyst (Graphic Designer)- SMP Opportunity with Saudi Aramco

📍 Job Overview

Job Title: Lead Digital Solutions Analyst (Graphic Designer) - SMP Opportunity with Saudi Aramco

Company: Saeed Raddad Group

Location: Dhahran, Saudi Arabia

Job Type: Full time

Category: Digital Solutions / Graphic Design / AI & Data Science

Date Posted: 2026-08-05

Experience Level: 10+ Years

Remote Status: On-site

🚀 Role Summary

• This role is a unique SMP (Specialist Master Program) opportunity, focusing on advanced AI technologies and digital solutions within a significant project for Saudi Aramco.

• The position requires a blend of graphic design expertise with a strong foundation in implementing robust Artificial Intelligence (AI) modules, pipelines, and services.

• Responsibilities include developing scalable backend infrastructure to support real-time data ingestion, model inference, and user access, utilizing microservices and agentic architecture for enhanced scalability.

• The analyst will be instrumental in building and managing a scalable real-time data ingestion pipeline, encompassing preprocessing, normalization, labeling, transformation, and feature engineering across multiple data streams.

• A key aspect of this role involves participating in strategic research and development for Saudi Aramco’s sovereign AI technologies, including Large Language Models (LLMs), Large Time Series Models, and Large Vision Models.

📝 Enhancement Note: The job title and description indicate a hybrid role that bridges the gap between creative digital design and advanced AI/data engineering. While "Graphic Designer" is in the title, the core responsibilities heavily lean towards AI/ML engineering, data pipelines, and backend infrastructure for AI models. This suggests a need for candidates who can visually represent complex data and AI concepts, or perhaps lead design aspects of AI solutions. The "SMP Opportunity with Saudi Aramco" implies a significant, potentially strategic project with high visibility.

📈 Primary Responsibilities

• Implement robust AI modules, pipelines, solutions, and services for advanced AI technologies, ensuring seamless integration and operational efficiency.

• Develop and maintain scalable backend infrastructure designed to support real-time data ingestion, model inference, and secure user access.

• Implement components that effectively consume and process events from streaming output sources in real-time, leveraging event-driven architecture patterns for dynamic data flow.

• Design and build a scalable real-time data ingestion pipeline, covering critical stages such as data preprocessing, normalization, labeling, transformation, feature engineering, and storage across diverse data streams.

• Participate actively in strategic research and development initiatives focused on building Saudi Aramco’s sovereign Language Models Technology, encompassing Large Language Models (LLMs), Large Time Series Models, and Large Vision Models.

• Collaborate with cross-functional teams to translate complex AI concepts and data insights into visually compelling and understandable digital solutions.

• Ensure data integrity and quality throughout the ingestion and processing pipeline, implementing validation checks and anomaly detection mechanisms.

• Optimize existing AI modules and pipelines for performance, scalability, and cost-effectiveness.

• Contribute to the architectural design of AI solutions, ensuring adherence to best practices in microservices and agentic architectures.

• Stay abreast of the latest advancements in AI, machine learning, data engineering, and digital design trends to drive innovation.

📝 Enhancement Note: The responsibilities highlight a deep technical requirement in AI/ML engineering and data pipelines, which is unusual for a role explicitly mentioning "Graphic Designer." This suggests the graphic design aspect might be more about conceptualizing and visualizing AI solutions, data flows, or creating user interfaces for AI-powered applications rather than traditional graphic design tasks. The focus on "sovereign Language Models Technology" indicates a strategic initiative for Saudi Aramco to develop proprietary AI capabilities.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Graphic Design, Computer Science, Data Science, Engineering, or a related quantitative field. Experience:

• Minimum of 10 years of progressive experience in graphic design, data science, AI/ML engineering, or a related technical field.

• Proven experience in implementing and managing AI modules, data pipelines, and backend infrastructure.

• Demonstrated experience with event-driven architecture and real-time data processing.

• Experience in developing and deploying microservices and agentic architectures.

• Familiarity with research and development in advanced AI models like LLMs, Time Series Models, and Vision Models. Required Skills:

• Artificial Intelligence (AI) & Machine Learning (ML): Deep understanding of AI/ML concepts, model deployment, and inference.

• Backend Development: Proficiency in building scalable backend infrastructure and microservices.

• Data Engineering: Expertise in designing and implementing real-time data ingestion pipelines, including preprocessing, normalization, and feature engineering.

• Architecture Design: Experience with event-driven architecture and agentic architecture patterns.

• Graphic Design Principles: Strong understanding of visual design, user interface (UI) principles, and the ability to translate complex technical information into clear visual representations.

• Programming Languages: Proficiency in relevant programming languages such as Python, Java, or Scala.

• Data Visualization: Ability to create compelling visualizations of data and AI model outputs.

• Cloud Platforms: Familiarity with cloud environments (e.g., AWS, Azure, GCP) for deploying AI solutions.

Preferred Skills:

• Experience with developing "sovereign" or proprietary AI models.

• Knowledge of Large Language Models (LLMs), Large Time Series Models, and Large Vision Models.

• Experience with data labeling and transformation techniques.

• Familiarity with DevOps and MLOps practices.

• Experience working on large-scale projects for major enterprises like Saudi Aramco.

• Project management skills for leading complex technical initiatives.

📝 Enhancement Note: The combination of "Graphic Designer" in the title and the extensive AI/data engineering responsibilities is highly unusual. Candidates will need to demonstrate how their graphic design skills can be applied to AI solutions, perhaps in UI/UX for AI platforms, data visualization, or conceptualizing AI project architectures. The "10+ years" experience requirement, coupled with the "SMP Opportunity," indicates a senior or lead-level role with significant responsibility.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase at least 2-3 distinct projects demonstrating your ability to design and implement AI modules, data pipelines, or backend services.

• Include examples of how you have translated complex data or AI concepts into visually comprehensible formats (e.g., diagrams, dashboards, conceptual designs).

• Highlight projects involving real-time data processing, microservices, or event-driven architectures.

• Provide evidence of contributions to research and development in AI technologies, particularly LLMs, Time Series, or Vision Models if applicable.

• Demonstrate proficiency in utilizing relevant AI/ML frameworks and programming languages. Process Documentation:

• For each project, clearly outline the problem statement, your role, the technologies used, the implemented processes, and the quantifiable results or impact.

• Detail the architecture of the AI solutions or data pipelines you designed, emphasizing scalability, efficiency, and robustness.

• Explain the methodologies used for data preprocessing, normalization, feature engineering, and model inference.

• Describe your approach to implementing and managing backend infrastructure for AI applications, including microservices and agentic architectures.

• Document your experience with any research and development cycles for new AI model technologies.

📝 Enhancement Note: Given the hybrid nature of the role, the portfolio should emphasize both technical AI/data engineering achievements and the candidate's ability to visualize or conceptualize these complex systems. Candidates should be prepared to walk through the technical architecture and data flows of their projects, explaining the design decisions and trade-offs.

💵 Compensation & Benefits

Salary Range:

• Estimated Range: SAR 25,000 - SAR 45,000+ per month (approx. USD 6,667 - USD 12,000+ per month).

• Methodology: This estimate is based on industry benchmarks for Lead/Senior AI/ML Engineers and Data Scientists with 10+ years of experience in Saudi Arabia, considering the specialized nature of the role (SMP, Saudi Aramco project) and the dual skillset requirement. Saudi Aramco, as a major employer, typically offers competitive compensation packages, and the "SMP Opportunity" suggests a premium. The salary will likely vary based on the candidate's specific experience, depth of AI expertise, and negotiation.

Benefits:

• Competitive Basic Salary: A strong base salary reflecting the seniority and specialized skills required.

• Overbase: Additional compensation, potentially performance-based or project-specific, adding to the overall remuneration.

• Adequate Health Insurance: Comprehensive medical coverage for the employee and potentially dependents.

• Annual Leave: Paid time off, standard for full-time positions, allowing for rest and personal time.

• Public Holidays: Paid days off in observance of national and religious holidays.

• Annual Flight Tickets for Expats: A significant benefit for expatriate employees, covering round-trip airfare to their home country annually.

Working Hours:

• Full-time position, typically 40 hours per week, aligning with standard business operations in Saudi Arabia (e.g., Sunday to Thursday).

• Potential for extended hours or flexible scheduling may be required to meet project deadlines, especially given the real-time nature of the responsibilities.

📝 Enhancement Note: The salary range is an estimate for a senior-level, highly specialized role in Saudi Arabia. The "Overbase" benefit is a key differentiator, potentially indicating a bonus structure tied to project milestones or performance. The provision of annual flight tickets specifically for expats highlights the company's approach to international talent acquisition.

🎯 Team & Company Context

🏢 Company Culture

Industry: Investment Holding Group with diverse sectors including Energy, Manufacturing, Engineering, Facilities Management, Human Resources, Medical and Pharmaceutical Industries, Travel and Tourism, Real Estate, and Information and Communication Technology.

Company Size: Large (Saeed Raddad Group operates multiple diverse companies, implying a significant organizational footprint).

Founded: The founding date is not specified, but the group's diverse portfolio suggests a well-established entity.

Team Structure:

• The role is part of a specialized initiative ("SMP Opportunity") likely involving a dedicated project team for Saudi Aramco.

• This team is expected to be cross-functional, comprising AI/ML engineers, data scientists, backend developers, and potentially project managers and business analysts.

• The graphic design aspect suggests potential collaboration with design specialists or a requirement for the analyst to bridge the gap between technical teams and visual representation.

• Reporting likely goes up through a project lead or a senior manager within the group's IT or Digital Solutions division. Methodology:

• The work will be heavily data-driven, focusing on scientific methods for AI model development and data pipeline construction.

• Emphasis on agile methodologies for iterative development and deployment of AI modules and backend services.

• A structured approach to research and development for new AI technologies, involving experimentation and validation.

• Process optimization and efficiency will be key, particularly in data ingestion and model inference.

Company Website: https://www.srg.com.sa/ (Based on domain_derived)

📝 Enhancement Note: Saeed Raddad Group's broad industry diversification suggests a robust corporate structure. The specific project for Saudi Aramco, a global energy giant, indicates a high-stakes, technologically advanced undertaking. The culture will likely blend corporate professionalism with the fast-paced, innovative demands of AI development.

📈 Career & Growth Analysis

Operations Career Level: Lead / Senior Specialist. This role is positioned as a "Lead Digital Solutions Analyst" with over 10 years of experience, indicating a senior individual contributor or team lead capacity. The "SMP Opportunity" further suggests a high-impact, strategic assignment.

Reporting Structure: The analyst will likely report to a Project Manager or a Director overseeing Digital Solutions and AI initiatives within Saeed Raddad Group, with close collaboration and reporting lines to Saudi Aramco stakeholders for project-specific deliverables.

Operations Impact: This role has a direct impact on the development of Saudi Aramco's advanced AI capabilities, specifically in the realm of sovereign AI technologies. Success will contribute to Saudi Aramco's strategic goals in AI innovation, data utilization, and technological independence. The analyst's work will influence how Saudi Aramco leverages AI for operational efficiency, strategic decision-making, and future technological advancements.

Growth Opportunities:

• Specialization: Deepen expertise in specific AI domains such as LLMs, time series analysis, or computer vision.

• Leadership: Potential to lead specialized AI development teams or technical workstreams within the Saudi Aramco project.

• Cross-Functional Exposure: Gain extensive experience working with a global leader like Saudi Aramco, understanding their complex operational needs and technological strategies.

• Skill Expansion: Opportunity to transition into roles focusing on AI strategy, architecture, or advanced research.

• Industry Recognition: Contributing to a high-profile project for Saudi Aramco can significantly boost professional profile and career prospects within the energy and technology sectors.

📝 Enhancement Note: The "SMP Opportunity" designation suggests this is more than a standard job; it's likely a program designed to cultivate high-level talent for strategic technological initiatives. Growth here could involve moving into higher levels of technical leadership, AI architecture, or program management.

🌐 Work Environment

Office Type: On-site position, likely within a modern office environment in Dhahran, Saudi Arabia, designed to facilitate collaboration and focused work. This may include dedicated project spaces, meeting rooms, and potentially lab facilities for AI development.

Office Location(s): Dhahran, Saudi Arabia. This location is a major hub for the energy industry, particularly for Saudi Aramco.

Workspace Context:

• Collaborative Environment: Expect close collaboration with a team of AI specialists, data scientists, engineers, and potentially representatives from Saudi Aramco.

• Technology-Rich: Access to advanced computing resources, development tools, and potentially specialized hardware required for AI model training and deployment.

• Innovation Focus: The environment will likely foster innovation, encouraging exploration of new AI technologies and methodologies.

• Professional Demeanor: Given the involvement of Saudi Aramco, a high degree of professionalism, punctuality, and adherence to corporate standards will be expected.

Work Schedule: Full-time, on-site, with standard working hours likely from Sunday to Thursday. However, the demands of real-time data processing and project deadlines may necessitate occasional flexibility or extended working hours.

📝 Enhancement Note: Working on-site in Dhahran means being in the heart of Saudi Arabia's oil and gas industry. The environment will be professional and technologically advanced, with a strong emphasis on project delivery and stakeholder satisfaction, especially for the Saudi Aramco client.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and portfolio, focusing on the blend of graphic design visualization skills and deep AI/data engineering experience.

• Technical Assessment: In-depth interviews assessing knowledge of AI/ML concepts, data pipeline architecture, backend development, microservices, and relevant programming languages. This may include coding challenges or system design exercises.

• Portfolio Presentation: A dedicated session where candidates present selected projects, detailing their technical contributions, design thinking, and impact. Expect detailed questions about architecture, data flows, and challenges overcome.

• Behavioral & Cultural Fit: Interviews to assess problem-solving abilities, collaboration style, communication skills, and alignment with the company's and Saudi Aramco's professional standards.

• Stakeholder Interview: Potential interviews with representatives from Saudi Aramco to ensure alignment with project requirements and expectations.

Portfolio Review Tips:

• Highlight Dual Skills: Clearly demonstrate how your graphic design or visualization expertise complements your technical AI/data engineering capabilities. Use examples where visual representation was critical to understanding or deploying AI solutions.

• Technical Depth: For AI/data projects, be prepared to discuss the technical architecture, data models, algorithms used, scalability considerations, and performance metrics in detail.

• Quantifiable Results: Showcase the impact of your work using metrics. For AI projects, this could include model accuracy improvements, processing speed enhancements, cost reductions, or successful feature implementations.

• Problem-Solving Narrative: Structure your project presentations around a clear problem, your solution (technical and visual), and the outcomes.

• Relevance to SMP: Emphasize any experience with large-scale projects, advanced AI research, or initiatives involving sovereign technology development.

Challenge Preparation:

• AI System Design: Be ready to design a system for real-time data ingestion, model inference, or a microservices-based AI application. Consider scalability, reliability, and data security.

• Data Pipeline Optimization: Prepare to discuss how you would optimize a complex data pipeline for performance, cost, or efficiency.

• Visualization of Complex Data: Practice explaining how you would visually represent the output of an LLM, time series forecast, or vision model to different stakeholders.

• Technical Q&A: Brush up on core concepts in AI/ML, distributed systems, cloud computing, and relevant programming languages.

📝 Enhancement Note: The interview process will likely be rigorous, testing both technical acumen and the unique ability to bridge design and AI. Candidates must be ready to articulate their contributions to complex technical systems and demonstrate how their design sensibility adds value.

🛠 Tools & Technology Stack

Primary Tools:

• Programming Languages: Python (essential for AI/ML), potentially Java, Scala.

• AI/ML Frameworks: TensorFlow, PyTorch, scikit-learn, Keras.

• Backend Technologies: Frameworks like Flask, Django (Python), Spring Boot (Java) for microservices.

• Data Processing: Apache Spark, Kafka, Flink for real-time data streaming and processing.

• Containerization & Orchestration: Docker, Kubernetes for scalable deployment.

Analytics & Reporting:

• Data Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn, Plotly for creating dashboards and visual reports.

• Data Warehousing/Lakes: Experience with cloud data warehouses (Snowflake, Redshift, BigQuery) or data lake concepts.

CRM & Automation:

• While not explicitly mentioned, experience with workflow automation tools or platforms that integrate with AI models might be beneficial.

• Familiarity with CI/CD pipelines for MLOps and DevOps practices.

📝 Enhancement Note: The technology stack is heavily skewed towards AI/ML engineering and distributed systems. Proficiency in Python and major AI frameworks is non-negotiable. The mention of "microservices" and "agentic architecture" points towards modern, scalable system design principles.

👥 Team Culture & Values

Operations Values:

• Innovation & Excellence: Driving advancements in AI and digital solutions, striving for best-in-class implementation.

• Collaboration: Working effectively across diverse teams and with external stakeholders (Saudi Aramco) to achieve shared goals.

• Data-Driven Decision Making: Relying on data and rigorous analysis to guide development and strategic choices.

• Efficiency & Scalability: Designing solutions that are not only functional but also performant, scalable, and cost-effective.

• Integrity & Professionalism: Upholding high ethical standards and professional conduct, especially when working with a major client like Saudi Aramco.

Collaboration Style:

• Cross-Functional Integration: Expect close collaboration between technical AI/data specialists and potentially design or business units.

• Agile & Iterative: Embracing a flexible approach to development, with regular feedback loops and iterative improvements.

• Knowledge Sharing: A culture that encourages sharing insights, best practices, and lessons learned, particularly in a rapidly evolving field like AI.

• Stakeholder Management: Proactive communication and engagement with Saudi Aramco project representatives to ensure alignment and manage expectations.

📝 Enhancement Note: The culture will likely emphasize high performance, technical rigor, and a strong client focus due to the Saudi Aramco partnership. Candidates should be prepared for a professional environment that values both individual contribution and team synergy.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging Design and AI: Successfully integrating graphic design principles with complex AI/ML engineering tasks, requiring a unique blend of skills.

• Developing Sovereign AI: Contributing to the creation of proprietary AI models, which involves significant R&D and overcoming technical hurdles.

• Real-time Data Processing: Managing and optimizing complex, high-volume real-time data streams and ensuring low latency for model inference.

• Scalability of Infrastructure: Building backend systems that can scale to meet the demands of advanced AI applications and a large user base.

• Stakeholder Alignment: Effectively communicating technical concepts and project progress to diverse stakeholders, including those at Saudi Aramco.

Learning & Development Opportunities:

• Advanced AI Specialization: Immersion in cutting-edge AI research for LLMs, Time Series, and Vision Models.

• Large-Scale Project Experience: Gaining invaluable experience working on projects of national strategic importance for Saudi Aramco.

• Cloud & Distributed Systems: Deepening expertise in cloud-native architectures, microservices, and distributed computing.

• Cross-Disciplinary Skill Development: Enhancing both technical AI/data skills and strategic visualization/communication abilities.

• Industry Exposure: Working within the Saudi Arabian energy sector and with one of the world's largest companies provides unparalleled industry insight.

📝 Enhancement Note: The primary challenge lies in the dual nature of the role. Overcoming this requires strong adaptability and a clear strategy for showcasing both skill sets effectively. The growth potential is significant, offering exposure to advanced AI and large-scale enterprise projects.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex AI system you designed or contributed to. How did you ensure its scalability and real-time data processing capabilities?" (Focus on architecture, data pipelines, technologies used).

• "How would you approach designing a user interface or visualization for an AI model's output, such as a Large Language Model's response or a Time Series forecast?" (Highlight design thinking, user-centricity, and technical feasibility).

• "Discuss your experience with developing or researching proprietary AI technologies. What are the key challenges and considerations?" (Emphasize R&D process, innovation, and strategic thinking).

• "Walk me through your portfolio project that best demonstrates your ability to integrate technical backend development with visual representation." (Be ready to present technical details and design rationale). Company & Culture Questions:

• "What interests you about this specific SMP opportunity with Saudi Aramco, and how do you see your skills contributing to their sovereign AI initiatives?" (Showcase research on Saudi Aramco's AI strategy and your unique value proposition).

• "How do you stay current with the rapid advancements in AI and digital design?" (Demonstrate a commitment to continuous learning).

• "Describe a time you had to collaborate with a team with very different technical or creative backgrounds. How did you ensure successful communication and project delivery?" (Highlight collaboration and communication skills). Portfolio Presentation Strategy:

• Structure for Impact: Begin with a high-level overview of the project's objective and your role, then dive into technical details and design choices, concluding with quantifiable results and lessons learned.

• Visual Aids are Key: Since graphic design is mentioned, use compelling visuals within your presentation. Diagrams, mockups, and screenshots of implemented solutions will be crucial.

• Explain the 'Why': For both technical and design decisions, clearly articulate the rationale behind them. Why was a particular architecture chosen? Why a specific visualization approach?

• Demonstrate Problem-Solving: Highlight challenges encountered and how you creatively or technically overcame them.

• Tailor to the Role: Emphasize projects that showcase both AI/data engineering expertise and a strong visual or conceptual design capability.

📝 Enhancement Note: Interview preparation should focus on articulating the synergy between graphic design and AI engineering. Candidates need to prove they can not only build complex systems but also conceptualize and visualize them effectively.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Oracle Cloud portal link.

• Portfolio Customization: Curate your portfolio to prominently feature projects that demonstrate your experience in AI module implementation, backend infrastructure development, real-time data pipelines, and any instances where graphic design or visualization skills were critical to conveying technical concepts.

• Resume Optimization: Tailor your resume to highlight keywords such as "Artificial Intelligence," "Data Ingestion," "Backend Infrastructure," "Microservices," "Large Language Models," and "Graphic Design" or "Data Visualization." Clearly state your years of experience and specific achievements.

• Interview Preparation: Practice articulating your technical expertise in AI/ML and backend systems, alongside your design sensibilities. Prepare to present your portfolio with clear explanations of your role, the technical challenges, design considerations, and quantifiable outcomes.

• Company Research: Thoroughly research Saeed Raddad Group's diverse business sectors and Saudi Aramco's strategic initiatives in AI and digital transformation. Understand the significance of "sovereign AI" and the potential impact of this SMP opportunity.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.