×
Register Here to Apply for Jobs or Post Jobs. X

Artificial Intelligence Specialist

Remote / Online - Candidates ideally in
Riyadh, Riyadh Region, Saudi Arabia
Listing for: Sword Group
Remote/Work from Home position
Listed on 2026-02-18
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 200000 - 300000 SAR Yearly SAR 200000.00 300000.00 YEAR
Job Description & How to Apply Below

SWORD Group, being a leader in IT software solutions and services, has 3600+ IT/Digital & Software specialists present over 5 continents to accompany you in the growth of your organization in the digital age. SWORD is present in the MEA region through its offices in Cyprus, UAE, KSA, and Lebanon. As a leader in technological and digital transformation, SWORD Group has since the year 2000 acquired a solid reputation in software solutions and in complex IT & business project management.

With SWORD you have the guarantee of strong close and qualified local commitment, the aim of which is to automate your business processes and optimize/maximize the usage of business data.

About the Role

We are looking for a visionary and technically-skilled Artificial Intelligence Solutions Architect to bridge the gap between business problems and AI implementation. In this role, you will design robust, scalable, and secure AI architectures that integrate machine learning (ML), deep learning, and generative AI capabilities into our products and enterprise workflows. You will work closely with data scientists, engineers, and stakeholders to ensure that AI solutions are not only theoretically sound but also production-ready and aligned with business goals.

Responsibilities
  • Solution Design
    :
    Lead the architectural design of end-to-end AI solutions, including data pipelines, model selection, training infrastructure, and deployment strategies.
  • Stakeholder Translation
    :
    Translate complex business requirements into technical specifications and AI roadmaps; communicate technical constraints and possibilities to non-technical stakeholders.
  • Technology Strategy
    :
    Evaluate and recommend AI frameworks, cloud services (AWS, Azure, GCP), and third-party tools (e.g., OpenAI, Anthropic, Hugging Face) to optimize performance and cost.
  • GenAI & LLM Integration
    :
    Design architectures leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and vector databases to solve specific use cases.
  • MLOps & Scalability
    :
    Establish best practices for MLOps, including model monitoring, retraining pipelines, version control, and CI/CD integration for AI models.
  • Governance & Ethics
    :
    Ensure AI solutions adhere to ethical guidelines, data privacy laws (GDPR, CCPA), and security standards.
  • Cross-Functional Leadership
    :
    Mentor data engineers and data scientists, providing guidance on software engineering best practices within AI projects.
Mandatory Qualifications
  • Education
    :
    Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. PhD is a plus.
  • Experience
    :
    Minimum of 5 years of experience in software architecture, data engineering, or machine learning engineering, with at least 2+ years specifically in designing AI/ML solutions.
  • Cloud Proficiency
    :
    Strong experience designing architectures on at least one major cloud provider (AWS, Azure, or GCP), specifically utilizing their AI/ML services (e.g., Sage Maker, Vertex AI, Azure ML).
  • Programming Skills
    :
    Proficiency in Python, Java, or C++. Experience with libraries like Tensor Flow, PyTorch, Scikit-learn, or Lang Chain.
  • Data Architecture
    :
    Solid understanding of data engineering concepts (ETL/ELT, data warehousing, SQL/No

    SQL databases) and how they feed AI models.
  • LLM Experience
    :
    Hands-on experience integrating Generative AI models or building RAG pipelines in a production environment.
Other Qualifications (Nice-to-Have)
  • Experience with Kubernetes and containerization (Docker) for model deployment.
  • Familiarity with vector databases (Pinecone, Milvus, Weaviate).
  • Certifications in cloud architecture or AI/ML (e.g., AWS Certified Machine Learning Specialty).
  • Experience in specific industries such as [Healthcare, Finance, Fintech, E-commerce, etc.].
Required Soft Skills
  • Strategic Thinking
    :
    Ability to see the "big picture" and how AI fits into long‑term business strategy.
  • Proficiency in English Language. Arabic Language is a plus.
  • Communication:
    Exceptional ability to explain complex technical concepts to executive leadership and clients.
  • Problem Solving: A proactive approach to troubleshooting architectural bottlenecks and model performance issues.
  • Collaboration:

    A team player who thrives in a cross‑functional environment.
Why working at SWORD ?
  • Enjoy a Hybrid or Remote Work Environment
  • Being part of a Dynamic and Supportive Environment focused on Employee Wellness
  • Gain International Exposure and Multicultural Experience
  • Learn from a Diversified Team of experts across the world
  • Participate in major projects with industry leaders
  • Have the possibility to relocate to a regional office within SWORD Group
  • Benefit from an attractive salary, fully paid in Fresh USD, thanks to a financially stable business relying mainly on international markets.
#J-18808-Ljbffr
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary