154 Generative AI jobs in Saudi Arabia

We are seeking a Generative AI Engineer to join our team and help design, build, and optimize applications powered by large language models (LLMs) and other generative AI technologies. This role combines deep technical expertise with creativity in prompt design, system integration, and deployment of AI-driven solutions that deliver real-world impact.

You will work closely with product, research, and engineering teams to develop scalable, reliable, and effective AI solutions—from backend infrastructure to prompt optimization.

• LLM Application Development: Build and deploy AI-powered applications leveraging LLMs, multimodal models, and generative AI frameworks.
• Prompt Engineering: Design, test, and optimize prompts to achieve reliable, high-quality outputs for diverse use cases.
• Model Integration: Integrate third-party models (e.g., OpenAI, Anthropic, open-source LLMs) into production systems using APIs and MCP servers.
• MLOps/AI Infrastructure: Configure and manage model-serving environments, ensuring scalability, security, and high availability.
• Data Handling: Preprocess and manage datasets to fine-tune or adapt models for specific business needs.
• Collaboration: Partner with product managers, designers, and researchers to align AI capabilities with user experience goals.
• Evaluation & Monitoring: Define metrics, run experiments, and monitor generative AI systems for quality, bias, and performance.
• Innovation: Stay up to date with the latest advancements in generative AI and propose creative applications of emerging technologies.

• Minimum Bachelor’s degree in Computer Science, Data Science, or a related field.
• Strong background in AI/ML, with a focus on generative models.
• Strong proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
• Practical experience with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models (e.g., LLaMA, Mistral, Falcon).
• Expertise in prompt engineering and prompt optimization for diverse tasks.
• Proven experience in configuring and setting up MCP servers or similar model-serving infrastructure.
• Strong problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.
• Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
• Proactive mindset with the ability to take ownership of challenges and drive solutions.
• Publications, research contributions, or involvement in open-source generative AI projects are a strong plus.

This is more than just an engineering role. it’s an opportunity to shape the infrastructure and technical future of Lucidya. You’ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.

We offer Employee Stock Option Plans (ESOP) to give you ownership in the company’s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you’ll have the autonomy to lead, innovate, and grow—both personally and professionally.

Scope

• We are seeking a highly experienced and technically grounded Gen AI Consultant to lead and support client engagements. This role blends technical expertise in Gen AI and Agentic AI with consulting acumen and business development capabilities, driving strategic initiatives, identifying opportunities, and delivering value-driven solutions.
• The ideal candidate will have 10+ years of experience with a solid background in Gen AI, AI Agents, machine learning, and platforms. Plays a key role in driving growth by identifying AI-driven opportunities, engaging clients with innovative Generative AI and Agentic AI solutions, and enabling sales teams with the right technical and strategic insights. This role bridges technical expertise with commercial acumen, collaborating closely with sales, product, marketing, and delivery teams to accelerate the adoption of AI solutions across industries.

Job Responsibilities

• Partner with sales teams to identify, qualify, and pursue Gen AI and Agentic AI opportunities.
• Conduct client discovery sessions to understand pain points and map them to Generative AI and AI Agents use cases.
• Deliver tailored demos, technical presentations, and proof-of-concepts (POCs) to clients.
• Create solution architectures and assist in proposal development (RFPs, RFIs, SoWs).

Business Development

• Identify emerging trends and growth opportunities in the GenAI and Agentic AI space.
• Evangelize Generative AI and AI Agents capabilities to external clients and internal stakeholders.
• Develop go-to-market strategies and Gen AI and AI Agents solution offerings with product and marketing teams.
• Build and manage a pipeline of strategic Gen AI and AI Agents engagements with measurable business impact.

Thought Leadership & Enablement

• Stay abreast of advancements in Gen AI, Agentic AI, LLMs, multimodal models, and related technologies.
• Represent the company at industry forums, conferences, and client events.
• Train internal stakeholders on the value proposition, use cases, and limitations of GenAI and AI Agents.
• Contribute to whitepapers, case studies, and blogs to establish market presence.

Required Skills

• Deep understanding of LLMs, prompt engineering, fine-tuning, and AI model deployment.
• Familiarity with tools like OpenAI, Claude, Cohere, Google Gemini, Hugging Face, etc.
• Experience with APIs, vector databases (e.g., Pinecone, FAISS), and cloud-based AI tools.
• Ability to translate business problems into technical AI solutions.
• Knowledge of cloud data platforms (e.g., Azure Synapse, AWS Sagemaker, GCP BigQuery).
• Experience in regulatory considerations for AI (e.g., GDPR, data privacy, model bias).
• Experience with custom LLM training, RAG architectures, or AI copilots.

Business & Interpersonal Competencies

• Excellent client-facing and presentation skills.
• Strong problem-solving and consultative selling skills.
• Ability to communicate complex Gen AI and Agentic AI concepts to non-technical stakeholders.
• Entrepreneurial mindset with a strong drive to innovate and grow business.
• Cross-functional collaboration with sales, engineering, and product teams.
• Strong experience in client engagement, requirements gathering, solution scoping, and executive communication.
• Ability to create winning proposals, present value propositions, and conduct strategic account planning.
• Willingness to travel as needed to client sites.
• Strong organizational, analytical, and presentation abilities.

Required Experience

• 8-10 years of experience in technology consulting, pre-sales, or business development roles.
• At least 2–3 years of hands-on experience with Generative AI, AI Agents, NLP, or ML/AI platforms.
• Proven experience in client engagement, solutioning, and closing Gen AI and Agentic AI-centric deals.
• Experience working with enterprise clients across industries such as oil & gas, energy & utilities, petrochemical, government & public sectors, Healthcare, Retail and Manufacturing.
• Experience in developing proposals, responding to RFPs/RFIs, and managing technical presales cycles.

Required Education

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
• Master’s degree or MBA preferred (especially with AI, strategy, or innovation focus).
• Certifications in AI/ML (e.g., Google Cloud AI, Azure AI, AWS ML, OpenAI, Hugging Face, or equivalent) are a plus.

Seniority level

• Associate

Employment type

• Full-time

Job function

• Consulting
• Industries IT Services and IT Consulting

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Generative AI Engineer (Saudi-based only)

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We are seeking a Generative AI Engineer to join our team and help design, build, and optimize applications powered by large language models (LLMs) and other generative AI technologies. This role combines deep technical expertise with creativity in prompt design, system integration, and deployment of AI-driven solutions that deliver real-world impact.

You will work closely with product, research, and engineering teams to develop scalable, reliable, and effective AI solutions—from backend infrastructure to prompt optimization.

• LLM Application Development: Build and deploy AI-powered applications leveraging LLMs, multimodal models, and generative AI frameworks.
• Prompt Engineering: Design, test, and optimize prompts to achieve reliable, high-quality outputs for diverse use cases.
• Model Integration: Integrate third-party models (e.g., OpenAI, Anthropic, open-source LLMs) into production systems using APIs and MCP servers.
• MLOps/AI Infrastructure: Configure and manage model-serving environments, ensuring scalability, security, and high availability.
• Data Handling: Preprocess and manage datasets to fine-tune or adapt models for specific business needs.
• Collaboration: Partner with product managers, designers, and researchers to align AI capabilities with user experience goals.
• Evaluation & Monitoring: Define metrics, run experiments, and monitor generative AI systems for quality, bias, and performance.
• Innovation: Stay up to date with the latest advancements in generative AI and propose creative applications of emerging technologies.

• Minimum Bachelor’s degree in Computer Science, Data Science, or a related field.
• Strong background in AI/ML, with a focus on generative models.
• Strong proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
• Practical experience with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models (e.g., LLaMA, Mistral, Falcon).
• Expertise in prompt engineering and prompt optimization for diverse tasks.
• Proven experience in configuring and setting up MCP servers or similar model-serving infrastructure.
• Strong problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.
• Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
• Proactive mindset with the ability to take ownership of challenges and drive solutions.
• Publications, research contributions, or involvement in open-source generative AI projects are a strong plus.

This is more than just an engineering role. it’s an opportunity to shape the infrastructure and technical future of Lucidya. You’ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.

We offer Employee Stock Option Plans (ESOP) to give you ownership in the company’s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you’ll have the autonomy to lead, innovate, and grow—both personally and professionally.

We are seeking a Generative AI Engineer to join our team and help design, build, and optimize applications powered by large language models (LLMs) and other generative AI technologies. This role combines deep technical expertise with creativity in prompt design, system integration, and deployment of AI-driven solutions that deliver real-world impact.

You will work closely with product, research, and engineering teams to develop scalable, reliable, and effective AI solutions—from backend infrastructure to prompt optimization.

• LLM Application Development: Build and deploy AI-powered applications leveraging LLMs, multimodal models, and generative AI frameworks.
• Prompt Engineering: Design, test, and optimize prompts to achieve reliable, high-quality outputs for diverse use cases.
• Model Integration: Integrate third-party models (e.g., OpenAI, Anthropic, open-source LLMs) into production systems using APIs and MCP servers.
• MLOps/AI Infrastructure: Configure and manage model-serving environments, ensuring scalability, security, and high availability.
• Data Handling: Preprocess and manage datasets to fine-tune or adapt models for specific business needs.
• Collaboration: Partner with product managers, designers, and researchers to align AI capabilities with user experience goals.
• Evaluation & Monitoring: Define metrics, run experiments, and monitor generative AI systems for quality, bias, and performance.
• Innovation: Stay up to date with the latest advancements in generative AI and propose creative applications of emerging technologies.

• Minimum Bachelor’s degree in Computer Science, Data Science, or a related field.
• Strong background in AI/ML, with a focus on generative models.
• Strong proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
• Practical experience with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models (e.g., LLaMA, Mistral, Falcon).
• Expertise in prompt engineering and prompt optimization for diverse tasks.
• Proven experience in configuring and setting up MCP servers or similar model-serving infrastructure.
• Strong problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.
• Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
• Proactive mindset with the ability to take ownership of challenges and drive solutions.
• Publications, research contributions, or involvement in open-source generative AI projects are a strong plus.

This is more than just an engineering role. it’s an opportunity to shape the infrastructure and technical future of Lucidya. You’ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.

We offer Employee Stock Option Plans (ESOP) to give you ownership in the company’s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you’ll have the autonomy to lead, innovate, and grow—both personally and professionally.

We are seeking a Generative AI Engineer to join our team and help design, build, and optimize applications powered by large language models (LLMs) and other generative AI technologies. This role combines deep technical expertise with creativity in prompt design, system integration, and deployment of AI-driven solutions that deliver real-world impact.

You will work closely with product, research, and engineering teams to develop scalable, reliable, and effective AI solutions—from backend infrastructure to prompt optimization.

• LLM Application Development: Build and deploy AI-powered applications leveraging LLMs, multimodal models, and generative AI frameworks.
• Prompt Engineering: Design, test, and optimize prompts to achieve reliable, high-quality outputs for diverse use cases.
• Model Integration: Integrate third-party models (e.g., OpenAI, Anthropic, open-source LLMs) into production systems using APIs and MCP servers.
• MLOps/AI Infrastructure: Configure and manage model-serving environments, ensuring scalability, security, and high availability.
• Data Handling: Preprocess and manage datasets to fine-tune or adapt models for specific business needs.
• Collaboration: Partner with product managers, designers, and researchers to align AI capabilities with user experience goals.
• Evaluation & Monitoring: Define metrics, run experiments, and monitor generative AI systems for quality, bias, and performance.
• Innovation: Stay up to date with the latest advancements in generative AI and propose creative applications of emerging technologies.

• Minimum Bachelor's degree in Computer Science, Data Science, or a related field.
• Strong background in AI/ML, with a focus on generative models.
• Strong proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
• Practical experience with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models (e.g., LLaMA, Mistral, Falcon).
• Expertise in prompt engineering and prompt optimization for diverse tasks.
• Proven experience in configuring and setting up MCP servers or similar model-serving infrastructure.
• Strong problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.
• Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
• Proactive mindset with the ability to take ownership of challenges and drive solutions.
• Publications, research contributions, or involvement in open-source generative AI projects are a strong plus.

This is more than just an engineering role. it's an opportunity to shape the infrastructure and technical future of Lucidya. You'll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.

We offer Employee Stock Option Plans (ESOP) to give you ownership in the company's success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you'll have the autonomy to lead, innovate, and grow—both personally and professionally.

Scope:

• We are seeking a highly experienced and technically grounded Gen AI Consultant to lead and support client engagements. This role blends technical expertise in Gen AI and Agentic AI with consulting acumen and business development capabilities, driving strategic initiatives, identifying opportunities, and delivering value-driven solutions.
• The ideal candidate will have 10+ years of experience with a solid background in Gen AI, AI Agents, machine learning, and platforms. Plays a key role in driving growth by identifying AI-driven opportunities, engaging clients with innovative Generative AI and Agentic AI solutions, and enabling sales teams with the right technical and strategic insights. This role bridges technical expertise with commercial acumen, collaborating closely with sales, product, marketing, and delivery teams to accelerate the adoption of AI solutions across industries.

Job Responsibilities:

Pre-Sales Support:

• Partner with sales teams to identify, qualify, and pursue Gen AI and Agentic AI opportunities.
• Conduct client discovery sessions to understand pain points and map them to Generative AI and AI Agents use cases.
• Deliver tailored demos, technical presentations, and proof-of-concepts (POCs) to clients.
• Create solution architectures and assist in proposal development (RFPs, RFIs, SoWs).

Business Development:

• Identify emerging trends and growth opportunities in the GenAI and Agentic AI space.
• Evangelize Generative AI and AI Agents capabilities to external clients and internal stakeholders.
• Develop go-to-market strategies and Gen AI and AI Agents solution offerings with product and marketing teams.
• Build and manage a pipeline of strategic Gen AI and AI Agents engagements with measurable business impact.

Thought Leadership & Enablement:

• Stay abreast of advancements in Gen AI, Agentic AI, LLMs, multimodal models, and related technologies.
• Represent the company at industry forums, conferences, and client events.
• Train internal stakeholders on the value proposition, use cases, and limitations of GenAI and AI Agents.
• Contribute to whitepapers, case studies, and blogs to establish market presence.

Required Skills:

Technical Competencies:

• Deep understanding of LLMs, prompt engineering, fine-tuning, and AI model deployment.
• Familiarity with tools like OpenAI, Claude, Cohere, Google Gemini, Hugging Face, etc.
• Experience with APIs, vector databases (e.g., Pinecone, FAISS), and cloud-based AI tools.
• Ability to translate business problems into technical AI solutions.
• Knowledge of cloud data platforms (e.g., Azure Synapse, AWS Sagemaker, GCP BigQuery).
• Experience in regulatory considerations for AI (e.g., GDPR, data privacy, model bias).
• Experience with custom LLM training, RAG architectures, or AI copilots.

Business & Interpersonal Competencies:

• Excellent client-facing and presentation skills.
• Strong problem-solving and consultative selling skills.
• Ability to communicate complex Gen AI and Agentic AI concepts to non-technical stakeholders.
• Entrepreneurial mindset with a strong drive to innovate and grow business.
• Cross-functional collaboration with sales, engineering, and product teams.
• Strong experience in client engagement, requirements gathering, solution scoping, and executive communication.
• Ability to create winning proposals, present value propositions, and conduct strategic account planning.
• Willingness to travel as needed to client sites.
• Strong organizational, analytical, and presentation abilities.

Required Experience:

• 8-10 years of experience in technology consulting, pre-sales, or business development roles.
• At least 2–3 years of hands-on experience with Generative AI, AI Agents, NLP, or ML/AI platforms.
• Proven experience in client engagement, solutioning, and closing Gen AI and Agentic AI-centric deals.
• Experience working with enterprise clients across industries such as oil & gas, energy & utilities, petrochemical, government & public sectors, Healthcare, Retail and Manufacturing.
• Experience in developing proposals, responding to RFPs/RFIs, and managing technical presales cycles.

Required Education:

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
• Master's degree or MBA preferred (especially with AI, strategy, or innovation focus).
• Certifications in AI/ML (e.g., Google Cloud AI, Azure AI, AWS ML, OpenAI, Hugging Face, or equivalent) are a plus.

Gen AI Engineer (Arabic-Speaking, Riyadh-Based)

Job Type: Contract

Location: Riyadh, Saudi Arabia

About the Role

We are looking for a skilled
Gen AI Engineer
with strong expertise in
Large Language Models (LLMs)
and
Generative AI techniques
to join our team in
Riyadh
. This is a unique opportunity to work on cutting-edge AI solutions in collaboration with business SMEs and cross-functional teams.

Key Responsibilities

• LLM Development & Optimization
  : Design, fine-tune, and deploy GenAI solutions using prompt engineering, RAG, and agent-based architectures.
• Codebase Ownership
  : Write clean, efficient, and scalable code in
  Python
  (LangChain/LangGraph) and
  SQL
  .
• Cloud Deployment
  : Implement GenAI systems on cloud platforms (Azure, AWS, or GCP) with CI/CD best practices.
• Collaboration
  : Work closely with data scientists, engineers, and business stakeholders to translate needs into technical solutions.
• Mentorship
  : Provide technical leadership and support to the engineering team on best practices in LLM development.
• Innovation
  : Stay updated on GenAI research and introduce novel approaches to improve model performance.

Required Skills & Qualifications

• 5+ years of experience in building ML systems.
• 1+ years of hands-on experience with LLMs and Generative AI (prompt engineering, RAG, agents).
• Strong experience with
  Python
  ,
  Langchain/LangGraph
  , and
  SQL
  .
• Familiarity with cloud platforms (Azure, AWS, GCP).
• Strong communication skills and ability to work with Arabic-speaking business SMEs.
• Experience leading teams toward a technical roadmap.

Note
: Arabic-speaking candidates currently based in
Riyadh
are preferred.

We are seeking a Generative AI Engineer to join our team and help design, build, and optimize applications powered by large language models (LLMs) and other generative AI technologies. This role combines deep technical expertise with creativity in prompt design, system integration, and deployment of AI-driven solutions that deliver real-world impact.

You will work closely with product, research, and engineering teams to develop scalable, reliable, and effective AI solutions—from backend infrastructure to prompt optimization.

• LLM Application Development: Build and deploy AI-powered applications leveraging LLMs, multimodal models, and generative AI frameworks.
• Prompt Engineering: Design, test, and optimize prompts to achieve reliable, high-quality outputs for diverse use cases.
• Model Integration: Integrate third-party models (e.g., OpenAI, Anthropic, open-source LLMs) into production systems using APIs and MCP servers.
• MLOps/AI Infrastructure: Configure and manage model-serving environments, ensuring scalability, security, and high availability.
• Data Handling: Preprocess and manage datasets to fine-tune or adapt models for specific business needs.
• Collaboration: Partner with product managers, designers, and researchers to align AI capabilities with user experience goals.
• Evaluation & Monitoring: Define metrics, run experiments, and monitor generative AI systems for quality, bias, and performance.
• Innovation: Stay up to date with the latest advancements in generative AI and propose creative applications of emerging technologies.

• Minimum Bachelor's degree in Computer Science, Data Science, or a related field.
• Strong background in AI/ML, with a focus on generative models.
• Strong proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
• Practical experience with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models (e.g., LLaMA, Mistral, Falcon).
• Expertise in prompt engineering and prompt optimization for diverse tasks.
• Proven experience in configuring and setting up MCP servers or similar model-serving infrastructure.
• Strong problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.
• Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
• Proactive mindset with the ability to take ownership of challenges and drive solutions.
• Publications, research contributions, or involvement in open-source generative AI projects are a strong plus.

This is more than just an engineering role. it's an opportunity to shape the infrastructure and technical future of Lucidya. You'll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.

We offer Employee Stock Option Plans (ESOP) to give you ownership in the company's success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you'll have the autonomy to lead, innovate, and grow—both personally and professionally.

We are seeking a Generative AI Engineer to join our team and help design, build, and optimize applications powered by large language models (LLMs) and other generative AI technologies. This role combines deep technical expertise with creativity in prompt design, system integration, and deployment of AI-driven solutions that deliver real-world impact.

You will work closely with product, research, and engineering teams to develop scalable, reliable, and effective AI solutions—from backend infrastructure to prompt optimization.

Key Responsibilities

• LLM Application Development: Build and deploy AI-powered applications leveraging LLMs, multimodal models, and generative AI frameworks.
• Prompt Engineering: Design, test, and optimize prompts to achieve reliable, high-quality outputs for diverse use cases.
• Model Integration: Integrate third-party models (e.g., OpenAI, Anthropic, open-source LLMs) into production systems using APIs and MCP servers.
• MLOps/AI Infrastructure: Configure and manage model-serving environments, ensuring scalability, security, and high availability.
• Data Handling: Preprocess and manage datasets to fine-tune or adapt models for specific business needs.
• Collaboration: Partner with product managers, designers, and researchers to align AI capabilities with user experience goals.
• Evaluation & Monitoring: Define metrics, run experiments, and monitor generative AI systems for quality, bias, and performance.
• Innovation: Stay up to date with the latest advancements in generative AI and propose creative applications of emerging technologies

Requirements

• Minimum Bachelor's degree in Computer Science, Data Science, or a related field.
• Strong background in AI/ML, with a focus on generative models.
• Strong proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
• Practical experience with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models (e.g., LLaMA, Mistral, Falcon).
• Expertise in prompt engineering and prompt optimization for diverse tasks.
• Proven experience in configuring and setting up MCP servers or similar model-serving infrastructure.
• Strong problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.
• Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
• Proactive mindset with the ability to take ownership of challenges and drive solutions.
• Publications, research contributions, or involvement in open-source generative AI projects are a strong plus

Benefits
*Why Join Us? *
This is more than just an engineering role. it's an opportunity to shape the infrastructure and technical future of Lucidya. You'll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.

We offer Employee Stock Option Plans (ESOP) to give you ownership in the company's success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you'll have the autonomy to lead, innovate, and grow—both personally and professionally.