158 AI Consultant jobs in Saudi Arabia

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We are Look AI, an AI Consultant firm. You will be part of a growing team that designs and implements intelligent systems and data-driven strategies. You will support senior consultants and technical teams in analyzing business problems, identifying AI opportunities, and implementing machine learning or automation solutions that create real value for our clients.

• Assist in assessing client needs and identifying suitable AI-driven solutions
• Support in designing AI/ML workflows and data pipelines
• Collaborate with data scientists, software developers, and business stakeholders
• Prepare documentation, client reports, and technical recommendations
• Conduct research on emerging AI tools, frameworks, and use cases
• Contribute to AI model evaluation, testing, and validation
• Help deliver presentations and demos to clients on AI solutions

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field
• Basic understanding of AI/ML concepts, such as supervised learning, NLP, computer vision, or automation
• Familiarity with Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, or OpenCV)
• Knowledge of data manipulation and analysis (e.g., Pandas, SQL)
• Strong communication skills and ability to translate technical ideas into business value
• Problem-solving mindset, eagerness to learn, and attention to detail
• Internship or academic project experience in AI/ML is a plus

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industry: Non-profit Organizations

This job posting is active and accepting applications.

Role Overview:

• Provide AI strategy consulting for enterprises and government sectors.
• Build and lead AI Centers of Excellence (AI Factories).
• Support organizations in AI strategy implementation and deployment services.
• Conduct AI readiness assessments and maturity evaluations to identify gaps and opportunities.
• Collaborate with stakeholders to design scalable AI architectures aligned with business objectives.
• Guide clients on the adoption of emerging AI technologies and frameworks.

Key Responsibilities:

• Define and implement enterprise-level AI strategies.
• Architect end-to-end AI solutions across multiple domains (ML, NLP, Computer Vision, etc.).
• Assess AI maturity and deliver tailored roadmaps for digital transformation.
• Develop governance frameworks and best practices for AI adoption.
• Partner with business leaders to ensure AI solutions meet performance, security, and compliance standards.
• Provide technical leadership and mentorship for AI implementation teams

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• 7+ years of experience in architecture, strategic planning, and AI consultancy.
• Strong expertise in AI technologies, including:
• Machine Learning (ML)
• Natural Language Processing (NLP)
• Deep Learning
• Robotic Process Automation (RPA)
• Computer Vision
• Generative AI & Agentic AI
• OSINT & GEOINT applications
• Proven track record in designing and deploying enterprise-scale AI solutions.
• Strong business acumen with the ability to bridge the gap between technical and executive stakeholders.
• Excellent communication, presentation, and client-facing skills.

Preferred:

• Master's degree in AI, Data Science, or a related advanced field.
• AI-related certifications (e.g., AWS AI/ML Specialty, Google Cloud ML, Microsoft AI Engineer).
• Experience in regulated industries (healthcare, finance, government).

Job Title:
AI Consultant

Experience:
7+ Years

Location:
Saudi Arabia (On-site)

Contract Duration:
Long Term (1–2 years)

Work Time:
AST Time Zone

Overview

We are seeking an
AI Consultant/Expert
with a minimum of
7 years of hands-on experience
in Artificial Intelligence. The consultant will work
on-site in Saudi Arabia
for a duration of
1–2 years
, leading and supporting advanced AI initiatives, spanning
Generative AI, Applied AI, predictive analytics, and automation projects
.

Responsibilities

• Support and deliver both
  Generative AI
  and
  Applied AI
  projects.
• Develop and deploy
  Large Language Models (LLMs)
  using
  LangChain
  and
  Retrieval-Augmented Generation (RAG)
  .
• Implement
  predictive analytics
  and
  forecasting use cases
  .
• Conduct
  Natural Language Processing (NLP)
  and
  text analysis
  .
• Design and deploy
  computer vision solutions
  for image and video analysis.
• Enable
  intelligent automation
  and integrate AI into business workflows.
• Build and optimize
  recommendation systems
  and analyze
  user behavior
  .
• Ensure
  data quality
  ,
  model explainability
  , and compliance with AI best practices.
• Utilize modern AI frameworks and platforms:
  HuggingFace, PyTorch, TensorFlow, Azure AI, and OpenAI
  .

Skills & Requirements

• Generative AI
  &
  Applied AI
  expertise.
• Large Language Models (LLMs), LangChain, RAG
  .
• Predictive Analytics
  & statistical modeling.
• Natural Language Processing (NLP), Text Analysis
  .
• Computer Vision (Image & Video Analysis)
  .
• Intelligent Automation & Workflow Integration
  .
• Recommendation Systems, User Behavior Analysis
  .
• Data Quality, Model Explainability
  .
• Tools/Frameworks:
  HuggingFace, PyTorch, TensorFlow, Azure AI, OpenAI
  .

AI Consultant / Expert

We are seeking an experienced AI Consultant / Expert to join our team. The ideal candidate will have a strong background in Artificial Intelligence, with proven expertise in developing and implementing AI-driven solutions that support business growth and innovation.

Key Responsibilities:

Provide expert advice on AI strategy, technologies, and best practices.

Design, develop, and implement AI models and solutions tailored to business needs.

Analyze data to identify opportunities for AI adoption and optimization.

Collaborate with cross-functional teams to integrate AI solutions into existing systems.

Stay up to date with the latest trends and advancements in AI.

Requirements:

Proven experience as an AI Consultant, AI Expert, or in a related role.

Strong knowledge of AI technologies such as Machine Learning, Deep Learning, NLP, and Computer Vision.

Proficiency in programming languages (Python, R, or similar).

Excellent problem-solving, analytical, and communication skills.

Ability to translate complex technical concepts into practical business solutions.

Job Types: Full-time, Part-time, Temporary, Contract

Artificial Intelligence Consultant

Location: Dhahran, KSA

We are seeking an
Artificial Intelligence Consultant

. The successful candidate will play a pivotal role in identifying and advancing AI-driven business cases that support data-informed decision-making in
energy and commodity trading

. This role focuses on
managing AI initiatives from concept to proof-of-concept (PoC)

, including requirements gathering, vendor collaboration, and business case validation. The candidate 
will not be responsible for end-to-end implementation

of AI models or systems, but rather 
for scoping, prioritizing, and enabling AI opportunities

in alignment with the client's strategic goals.

Duties and Responsibilities

The successful candidate will be required to perform the following:

• Lead the identification and scoping of AI business cases
   in collaboration with trading, risk, finance, shipping, HR, legal, procurement, and operations teams.
• Gather and document functional and technical requirements
   for AI use cases, ensuring alignment with business objectives and data availability.
• Collaborate with internal stakeholders and external vendors
   to design and execute AI PoCs, including defining success criteria and evaluating outcomes.
• Prioritize AI initiatives
   based on business impact, feasibility, and strategic alignment.
• Develop and maintain a roadmap
   for AI adoption across the trading and risk functions.
• Coordinate with data scientists, engineers, and IT teams
   to ensure PoC outputs can be transitioned effectively to implementation teams.
• Identify and assess Generative AI opportunities
   in areas such as trading strategy support, risk scenario generation, financial forecasting, and HR analytics.
• Apply statistical and analytical methods
   to validate hypotheses and measure the effectiveness of AI solutions.
• Assess and mitigate risks
   related to data governance, cybersecurity, and compliance during the early stages of AI initiatives.
• Act as the internal AI focal point
   for trading and risk stakeholders, ensuring alignment and transparency across all AI-related activities.

Minimum Requirements

• Bachelor's degree in
  Engineering, Computer Science, Data Science, Artificial Intelligence, or a related field
   from an accredited university. An
  advanced degree
   in
  Machine Learning, Applied Statistics, or Operations Research
   is preferred.
• Minimum of 10 years of experience in managing AI and data science initiatives
  , preferably in
  energy trading or commodity trading
  .
• Demonstrated experience in
  requirements gathering
   and
  use case scoping
   for AI/ML applications.
• Proven track record in
  collaborating with vendors and third-party AI providers
   to define and execute PoCs.
• Hands-on experience in managing AI projects in energy trading
  , including exposure to trading workflows, risk modeling, or market analytics.
• Strong understanding of
  machine learning fundamentals
  , including
  regression, classification, clustering, NLP, and optimization algorithms
  .
• Proficiency in Python, SQL, and data analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
• Experience with
  data visualization tools
   and techniques to communicate insights to business stakeholders.
• Solid
  analytical and problem-solving skills
  , with the ability to translate business challenges into AI opportunities.
• Project management skills
  , including planning, resource coordination, and stakeholder communication.
• Familiarity with
  AI governance, data privacy, and cybersecurity best practices
   is highly desirable.

Preferred Qualifications

• Prior experience 
  in energy trading firms or commodity trading houses
  .
• Background in
  trading analytics, risk modeling, or financial forecasting
   using AI/ML.
• Experience working with
  cloud-based AI platforms
   (e.g., AWS, Azure, GCP) and
  big data technologies
  .
• Strong communication and stakeholder engagement skills, especially with non-technical audiences.

Responsibilities:

• Recruit, screen, and place AI specialists (data scientists, ML engineers, AI researchers, etc.) across multiple industries.
• Provide training programs to upskill teams in advanced AI skills and emerging technologies.
• Deliver AI project manpower solutions, ensuring the right talent is aligned with project needs and timelines.

• Bachelor's degree in Business, IT, Computer Science, Software Engineering, or related field.
• Minimum 5 years of experience in AI staffing, talent management, training, and project-based manpower solutions.
• Familiarity with AI technical domains: ML, NLP, Deep Learning, RPA, Computer Vision, Gen AI, Agentic AI, OSINT, GEOINT.
• Strong communication, talent assessment, and training delivery skills.

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Direct message the job poster from Discovered MENA

Role: AI Solutions Head - Arabic Speaking

Rate: Up to 60K SAR

• Partner with client engagement and technical teams to gather business requirements and convert them into practical AI/analytics solutions.
• Provide strategic guidance on solution architecture, ensuring alignment with client goals.
• Act as the technical lead in client workshops and delivery discussions.
• Build and deploy machine learning models and end-to-end analytical workflows, including data preprocessing, feature engineering, training, and validation.
• Leverage a mix of classical ML and deep learning techniques (e.g., forecasting, NLP, optimization, anomaly detection).
• Ensure models are reliable, modular, and production-ready.
• Mentor junior data scientists and engineers in model development and project delivery.
• Conduct code reviews, promote best practices, and uphold high technical standards across the team.

• Collaborate with engineering teams to integrate models seamlessly into production.
• Ensure solutions are containerized, API-enabled, and compatible with CI/CD pipelines.
• Keep pace with the latest ML/AI advancements and evaluate their relevance for real-world use.
• Drive internal prototyping and experimentation to test new approaches.
• Share insights through documentation, demos, and team knowledge sessions.

• Deep Learning: PyTorch, TensorFlow/Keras
• Cloud Platforms: AWS (preferred) or GCP

• Bachelor’s or Master’s in Computer Science, Engineering, or related field.
• 8+ years of experience in machine learning, data science, or applied analytics.
• Proven track record leading technical aspects of projects and mentoring junior team members.
• Strong hands-on expertise in building, validating, and deploying ML models.
• Ability to balance deep technical work with practical business impact.
• Excellent communication and collaboration skills across technical and non-technical stakeholders.
• Fluency in Arabic and English (written and spoken mandatory)

• Mid-Senior level

• Full-time

• Information Technology

• IT Services and IT Consulting

Referrals can increase your chances of interviewing at Discovered MENA.

Role: AI Solutions Head -
Arabic Speaking

Location: Riyadh, Saudi (Full time)

Rate: Up to 60K SAR

Key Responsibilities

Client-Facing Solutioning

• Partner with client engagement and technical teams to gather business requirements and convert them into practical AI/analytics solutions.
• Provide strategic guidance on solution architecture, ensuring alignment with client goals.
• Act as the technical lead in client workshops and delivery discussions.

Model Development & Execution

• Build and deploy machine learning models and end-to-end analytical workflows, including data preprocessing, feature engineering, training, and validation.
• Leverage a mix of classical ML and deep learning techniques (e.g., forecasting, NLP, optimization, anomaly detection).
• Ensure models are reliable, modular, and production-ready.

Collaboration & Mentorship

• Mentor junior data scientists and engineers in model development and project delivery.
• Conduct code reviews, promote best practices, and uphold high technical standards across the team.

Integration & Deployment

• Collaborate with engineering teams to integrate models seamlessly into production.
• Ensure solutions are containerized, API-enabled, and compatible with CI/CD pipelines.

Innovation & Continuous Improvement

• Keep pace with the latest ML/AI advancements and evaluate their relevance for real-world use.
• Drive internal prototyping and experimentation to test new approaches.
• Share insights through documentation, demos, and team knowledge sessions.

Technical Stack

• Languages & Libraries:
  Python, JavaScript, NumPy, pandas, scikit-learn, XGBoost
• Deep Learning:
  PyTorch, TensorFlow/Keras
• Cloud Platforms:
  AWS (preferred) or GCP
• Databases:
  PostgreSQL, Oracle
• Distributed Processing:
  Apache Spark, Apache Flink

Qualifications

• Bachelor's or Master's in Computer Science, Engineering, or related field.
• 8+ years of experience in machine learning, data science, or applied analytics.
• Proven track record leading technical aspects of projects and mentoring junior team members.
• Strong hands-on expertise in building, validating, and deploying ML models.
• Ability to balance deep technical work with practical business impact.
• Excellent communication and collaboration skills across technical and non-technical stakeholders.
• Fluency in Arabic and English (written and spoken mandatory)

The
AI Solutions Architect
is responsible for designing and overseeing the implementation of AI-driven solutions, ensuring they meet both business and technical requirements. The architect defines the technical architecture for AI systems, ensuring scalability, performance, and seamless integration with existing infrastructure. This role involves selecting the appropriate technologies and tools for AI model development, deployment, and integration. Additionally, the architect provides leadership and mentorship to development teams, ensuring the solutions are developed following best practices, and maintaining high standards for security, compliance, and quality.

Key Responsibilities:

1. Design scalable and efficient AI solution architectures.
2. Define and document technical specifications for AI projects.
3. Lead the selection of AI technologies, frameworks, and tools, including TensorFlow, PyTorch, Keras, and Apache Spark.
4. Oversee the integration of AI models with data pipelines and business applications using technologies like Apache Kafka, Kafka Streams, and cloud platforms (AWS, Azure, GCP).
5. Ensure the AI solutions meet security, compliance, and performance standards using best practices in security protocols and data privacy (GDPR, HIPAA).
6. Collaborate with cross-functional teams to align on technical goals and requirements.
7. Mentor development teams and provide technical leadership on machine learning algorithms, deep learning, NLP, and reinforcement learning.
8. Monitor and optimize the performance of deployed AI solutions, leveraging performance monitoring tools such as Grafana, Prometheus, or ELK stack.
9. Drive innovation and stay up-to-date with emerging AI technologies and architectures, such as microservices-based designs, Kubernetes, and Docker.
10. Communicate technical designs and concepts to both technical and non-technical stakeholders, ensuring clarity on how AI models and systems integrate with the overall business ecosystem