planning engineer

ai engineer (saudi only)

automation engineer

commercial engineer

duty engineer

ai engineer

Lucidya

<div>The purpose of an AI engineer position is to design, develop, and implement artificial intelligence solutions to address complex problems and enhance processes within an organization. This role aims to leverage advanced algorithms, machine learning, and deep learning techniques to create intelligent systems that can analyze data, make predictions, and automate tasks. Ultimately, the AI engineer contributes to technological innovation, improves efficiency, and helps the organization stay competitive by harnessing the power of artificial intelligence in various applications, such as data analysis, image recognition, natural language processing, and more.
Requirements
<ul><li>Design and optimize machine learning algorithms for specific applications.
</li><li>Manage and preprocess large datasets to extract relevant features for training AI models.</li>
<li>Train machine learning models and evaluate their performance through testing.</li>
<li>Use programming languages (e.g., Python, Java) for AI development.</li>
<li>Apply expertise in deep learning frameworks like TensorFlow or PyTorch to build and implement neural networks.</li>
<li>Work closely with cross-functional teams, including data scientists, software engineers, and domain experts.</li>
<li>Analyze complex problems and propose innovative AI solutions to address business challenges.</li>
<li>Stay updated on the latest advancements in AI and integrate new technologies into existing systems.</li>
<li>Ensure AI applications comply with ethical standards and legal regulations.</li>
<li>Prepare comprehensive documentation for algorithms, models, and processes.</li>
<li>Engage in ongoing learning to stay abreast of emerging technologies and industry trends.</li>
<li>Assist in deploying AI models into production environments, ensuring scalability and efficiency.</li></ul></div>

AI Engineer (Saudi Only)

Lucidya | لوسيديا

<div>
 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&mdash;from backend infrastructure to prompt optimization.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 LLM Application Development: Build and deploy AI-powered applications leveraging LLMs, multimodal models, and generative AI frameworks.
 </li>
 <li>
 Prompt Engineering: Design, test, and optimize prompts to achieve reliable, high-quality outputs for diverse use cases.
 </li>
 <li>
 Model Integration: Integrate third-party models (e.g., OpenAI, Anthropic, open-source LLMs) into production systems using APIs and MCP servers.
 </li>
 <li>
 MLOps/AI Infrastructure: Configure and manage model-serving environments, ensuring scalability, security, and high availability.
 </li>
 <li>
 Data Handling: Preprocess and manage datasets to fine-tune or adapt models for specific business needs.
 </li>
 <li>
 Collaboration: Partner with product managers, designers, and researchers to align AI capabilities with user experience goals.
 </li>
 <li>
 Evaluation &amp; Monitoring: Define metrics, run experiments, and monitor generative AI systems for quality, bias, and performance.
 </li>
 <li>
 Innovation: Stay up to date with the latest advancements in generative AI and propose creative applications of emerging technologies
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum Bachelor's degree in Computer Science, Data Science, or a related field.
 </li>
 <li>
 Strong background in AI/ML, with a focus on generative models.
 </li>
 <li>
 Strong proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
 </li>
 <li>
 Practical experience with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models (e.g., LLaMA, Mistral, Falcon).
 </li>
 <li>
 Expertise in prompt engineering and prompt optimization for diverse tasks.
 </li>
 <li>
 Proven experience in configuring and setting up MCP servers or similar model-serving infrastructure.
 </li>
 <li>
 Strong problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.
 </li>
 <li>
 Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
 </li>
 <li>
 Proactive mindset with the ability to take ownership of challenges and drive solutions.
 </li>
 <li>
 Publications, research contributions, or involvement in open-source generative AI projects are a strong plus
 
 
 </li>
 </ul>
 
 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&mdash;both personally and professionally.
</div>

Generative AI Engineer (Saudi-based only)

<div>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&mdash;from backend infrastructure to prompt optimization.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul>
<li>LLM Application Development: Build and deploy AI-powered applications leveraging LLMs, multimodal models, and generative AI frameworks.
</li><li>Prompt Engineering: Design, test, and optimize prompts to achieve reliable, high-quality outputs for diverse use cases.
</li><li>Model Integration: Integrate third-party models (e.g., OpenAI, Anthropic, open-source LLMs) into production systems using APIs and MCP servers.
</li><li>MLOps/AI Infrastructure: Configure and manage model-serving environments, ensuring scalability, security, and high availability.
</li><li>Data Handling: Preprocess and manage datasets to fine-tune or adapt models for specific business needs.
</li><li>Collaboration: Partner with product managers, designers, and researchers to align AI capabilities with user experience goals.
</li><li>Evaluation &amp; Monitoring: Define metrics, run experiments, and monitor generative AI systems for quality, bias, and performance.
</li><li>Innovation: Stay up to date with the latest advancements in generative AI and propose creative applications of emerging technologies.</li>
</ul>Requirements<ul>
<li>Minimum Bachelor&rsquo;s degree in Computer Science, Data Science, or a related field.
</li><li>Strong background in AI/ML, with a focus on generative models.
</li><li>Strong proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
</li><li>Practical experience with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models (e.g., LLaMA, Mistral, Falcon).
</li><li>Expertise in prompt engineering and prompt optimization for diverse tasks.
</li><li>Proven experience in configuring and setting up MCP servers or similar model-serving infrastructure.
</li><li>Strong problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.
</li><li>Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
</li><li>Proactive mindset with the ability to take ownership of challenges and drive solutions.
</li><li>Publications, research contributions, or involvement in open-source generative AI projects are a strong plus.</li>
</ul>Benefits<h3 class="jobSectionHeader">
Why Join Us?</h3>
This is more than just an engineering role. it&rsquo;s an opportunity to shape the infrastructure and technical future of Lucidya. You&rsquo;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&rsquo;s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you&rsquo;ll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.</div>

<div>Lucidya is the leading customer experience intelligence platform in the MENA region, helping organizations deeply understand and serve their customers using cutting-edge AI. As we expand our AI capabilities, we are building agentic AI services that can reason, plan, and act autonomously to deliver real business value.
We are looking for an AI Agent Architect to design and lead the architecture of our next-generation AI agent systems.
As an AI Agent Architect, you will own the end-to-end design of agent systems at Lucidya. Your role is to define how agents reason, interact with tools, collaborate as multi-agent systems, manage memory, and operate safely at scale. You will work closely with ML engineers, backend engineers, product managers, and UX designers to turn advances in LLMs and agent frameworks into robust, production-ready systems fully integrated with Lucidya&rsquo;s platform.
We are seeking someone with a deep understanding of AI technologies who can architect systems that enable intelligent, goal-driven behaviors in our products. Collaboration is key: you will work across teams to align AI solutions with business needs, enhance user experiences, and bring innovative ideas from concept to production.<h3 class="jobSectionHeader">
Key Tasks &amp; Responsibilities</h3><ul>
<li>Design and implement the architecture of Lucidya&rsquo;s AI agents, including reasoning loops, planning, reflection, and multi-agent collaboration.
</li><li>Research and apply state-of-the-art methods in machine learning, natural language processing, and reinforcement learning.
</li><li>Guide the development of prototypes and proof-of-concept models, experimenting with emerging technologies.
</li><li>Collaborate with software engineers and data scientists to integrate AI capabilities seamlessly into Lucidya products.
</li><li>Architect scalable and secure agent&ndash;tool interactions (e.g., CRM, analytics APIs, external systems).
</li><li>Ensure AI solutions align with product goals and deliver measurable business value.
</li><li>Design short-term and long-term memory architectures for agents.
</li><li>Build retrieval-augmented generation (RAG) pipelines using vector databases (Pinecone, Weaviate, FAISS).
</li><li>Conduct evaluations of agent performance and optimize algorithms based on analytics and user feedback.
</li><li>Define observability standards for monitoring, debugging, and improving agent behaviors.
</li><li>Produce clear design documentation, specifications, and best practices for AI agent development.
</li><li>Establish AI governance and safety guardrails, ensuring agents act responsibly and in compliance with regulations.
</li><li>Stay current on the latest advancements in LLM, multi-agent, and AI systems research.
</li><li>Mentor engineers on agent orchestration and AI architecture best practices.
</li><li>Act as the subject matter expert and key driver of agentic AI within Lucidya.</li>
</ul>Requirements<ul>
<li>BA/BS or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
</li><li>5+ years of experience in AI/ML development with a proven track record in AI system architecture.
</li><li>Demonstrated experience designing and deploying LLM-driven or multi-agent AI systems.
</li><li>Strong knowledge of AI algorithms, including supervised, unsupervised, and reinforcement learning.
</li><li>Proficiency in programming languages such as Python (Java or equivalent a plus).
</li><li>Hands-on experience with ML frameworks (TensorFlow, PyTorch).
</li><li>Expertise in LLM frameworks (LangChain, LlamaIndex, AutoGen, Semantic Kernel).
</li><li>Experience with natural language processing and modern NLP libraries.
</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Weights &amp; Biases, Docker, Kubernetes).
</li><li>Solid grounding in software architecture principles and distributed systems.
</li><li>Strong analytical and problem-solving skills with an innovative mindset.
</li><li>Excellent communication skills, capable of articulating complex ideas clearly and persuasively.
</li><li>Collaborative team player with the ability to lead discussions on AI system design.</li>
</ul>Benefits<h3 class="jobSectionHeader">
Why Join Us?</h3>
This is more than just an engineering role. it&rsquo;s an opportunity to shape the infrastructure and technical future of Lucidya. You&rsquo;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&rsquo;s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you&rsquo;ll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.</div>

AI Agent Architect (Saudi-based only)

<div>
 Lucidya is the leading customer experience intelligence platform in the MENA region, helping organizations deeply understand and serve their customers using cutting-edge AI. As we expand our AI capabilities, we are building agentic AI services that can reason, plan, and act autonomously to deliver real business value.
 
 
 We are looking for an AI Agent Architect to design and lead the architecture of our next-generation AI agent systems.
 
 
 As an AI Agent Architect, you will own the end-to-end design of agent systems at Lucidya. Your role is to define how agents reason, interact with tools, collaborate as multi-agent systems, manage memory, and operate safely at scale. You will work closely with ML engineers, backend engineers, product managers, and UX designers to turn advances in LLMs and agent frameworks into robust, production-ready systems fully integrated with Lucidya's platform.
 
 
 We are seeking someone with a deep understanding of AI technologies who can architect systems that enable intelligent, goal-driven behaviors in our products. Collaboration is key: you will work across teams to align AI solutions with business needs, enhance user experiences, and bring innovative ideas from concept to production.
 
 
 
 Key Tasks &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement the architecture of Lucidya's AI agents, including reasoning loops, planning, reflection, and multi-agent collaboration.
 </li>
 <li>
 Research and apply state-of-the-art methods in machine learning, natural language processing, and reinforcement learning.
 </li>
 <li>
 Guide the development of prototypes and proof-of-concept models, experimenting with emerging technologies.
 </li>
 <li>
 Collaborate with software engineers and data scientists to integrate AI capabilities seamlessly into Lucidya products.
 </li>
 <li>
 Architect scalable and secure agent-tool interactions (e.g., CRM, analytics APIs, external systems).
 </li>
 <li>
 Ensure AI solutions align with product goals and deliver measurable business value.
 </li>
 <li>
 Design short-term and long-term memory architectures for agents.
 </li>
 <li>
 Build retrieval-augmented generation (RAG) pipelines using vector databases (Pinecone, Weaviate, FAISS).
 </li>
 <li>
 Conduct evaluations of agent performance and optimize algorithms based on analytics and user feedback.
 </li>
 <li>
 Define observability standards for monitoring, debugging, and improving agent behaviors.
 </li>
 <li>
 Produce clear design documentation, specifications, and best practices for AI agent development.
 </li>
 <li>
 Establish AI governance and safety guardrails, ensuring agents act responsibly and in compliance with regulations.
 </li>
 <li>
 Stay current on the latest advancements in LLM, multi-agent, and AI systems research.
 </li>
 <li>
 Mentor engineers on agent orchestration and AI architecture best practices.
 </li>
 <li>
 Act as the subject matter expert and key driver of agentic AI within Lucidya
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 BA/BS or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
 </li>
 <li>
 5+ years of experience in AI/ML development with a proven track record in AI system architecture.
 </li>
 <li>
 Demonstrated experience designing and deploying LLM-driven or multi-agent AI systems.
 </li>
 <li>
 Strong knowledge of AI algorithms, including supervised, unsupervised, and reinforcement learning.
 </li>
 <li>
 Proficiency in programming languages such as Python (Java or equivalent a plus).
 </li>
 <li>
 Hands-on experience with ML frameworks (TensorFlow, PyTorch).
 </li>
 <li>
 Expertise in LLM frameworks (LangChain, LlamaIndex, AutoGen, Semantic Kernel).
 </li>
 <li>
 Experience with natural language processing and modern NLP libraries.
 </li>
 <li>
 Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Weights &amp; Biases, Docker, Kubernetes).
 </li>
 <li>
 Solid grounding in software architecture principles and distributed systems.
 </li>
 <li>
 Strong analytical and problem-solving skills with an innovative mindset.
 </li>
 <li>
 Excellent communication skills, capable of articulating complex ideas clearly and persuasively.
 </li>
 <li>
 Collaborative team player with the ability to lead discussions on AI system design
 
 
 </li>
 </ul>
 
 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&mdash;both personally and professionally.
</div>

Ibix Global Tech

We are seeking a skilled Microsoft Engineer with proven expertise in Active Directory migrations, Office 365 security, and enterprise-grade email/network protection solutions. The ideal candidate will be responsible for implementing secure Microsoft environments, troubleshooting synchronization issues, and deploying best-in-class email and endpoint security platforms such as Darktrace, Bitdefender, Mimecast, Proofpoint, and Forcepoint.Key Responsibilities<ul><li>Plan, execute, and manage Microsoft Active Directory migrations and upgrades (on-prem, hybrid, or cloud).</li><li>Diagnose and resolve directory synchronization issues in hybrid environments.</li><li>Implement and manage Office 365 email security solutions (ATP, DKIM, SPF, DMARC, encryption, retention policies).</li><li>Deploy and integrate third-party security solutions including:</li><li>Darktrace (AI-driven threat detection &amp; response)</li><li>Bitdefender (endpoint security &amp; EDR/XDR)</li><li>Mimecast, Proofpoint, Forcepoint (email &amp; data security, DLP, phishing protection)</li><li>Other enterprise-grade tools as required</li><li>Perform Vulnerability Assessment and Penetration Testing (VAPT) &ndash; both automated and manual &ndash; to identify and mitigate risks.</li><li>Lead implementation of network security controls (firewalls, VPNs, IDS/IPS, zero-trust, endpoint protection).</li><li>Collaborate with client teams and vendors to deliver secure, reliable, and compliant environments.</li><li>Document architecture, configurations, and incident response playbooks.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, IT, or related field (or equivalent experience).</li><li>2&ndash;5 years of proven experience in Microsoft ecosystem and security domain.</li><li>Hands-on expertise in Active Directory migration, upgrade, and hybrid troubleshooting.</li><li>Strong administration knowledge of Microsoft 365 security &amp; compliance features.</li><li>Practical experience with enterprise-grade security platforms (Darktrace, Bitdefender, Mimecast, Proofpoint, Forcepoint, etc.).</li><li>Solid understanding of email security, endpoint security, and DLP solutions.</li><li>Proficiency in VAPT (manual &amp; automated testing) and remediation.</li><li>Familiarity with network security infrastructure (firewalls, IDS/IPS, SIEM).</li><li>Preferred certifications: Microsoft Security Administrator, Azure Administrator, Security+, CEH, or equivalent.</li></ul>What We Offer<ul><li>Competitive salary &amp; performance-based incentives</li><li>Opportunities for training and certifications in Microsoft and leading security solutions</li><li>Work on enterprise-level projects across Microsoft, email security, and network defense domains</li><li>Collaborative and fast-paced environment.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Can you join Immediately?</li><li>What is your expected monthly package in SAR?</li><li>What is your current monthly package SAR?</li><li>Can you describe your hands-on experience with Microsoft Active Directory migrations and troubleshooting synchronization issues in hybrid environments?</li><li>What specific Office 365 security and compliance features have you implemented &mdash; such as ATP, DKIM, SPF, DMARC, or data encryption policies?</li><li>Which enterprise-grade security platforms (e.g., Darktrace, Bitdefender, Mimecast, Proofpoint, or Forcepoint) have you deployed or managed, and what was your role in their implementation?</li><li>Can you walk us through your process for conducting Vulnerability Assessment and Penetration Testing (VAPT), both automated and manual?</li><li>What experience do you have implementing or managing network security controls such as firewalls, VPNs, IDS/IPS, or zero-trust architecture?</li><li>What is your level of experience with virtualization and cloud technologies (e.g., Azure, Hyper-V, VMware), and how have you integrated them within secure enterprise environments?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Language:<ul><li>Arabic (Preferred)</li></ul>Location:<ul><li>Jeddah (Required)</li></ul>Willingness to travel:<ul><li>100% (Required)</li></ul>

Microsoft Engineer

Dar Al Riyadh

<div>Responsibilities:
<ul><li>Lead the site staff in the relevant discipline and assures their adequate performance.
</li><li>Played the role as the technical advisor to the Engineer/the Employer in the relevant discipline.
</li><li>Managing work quality according to project contract, specification, approved shop drawing and QMS Procedures.
</li><li>Review and approve the shop drawings, materials and other submittals from the Contractor and other involved parties.
</li><li>Review the contractor's implementation and Construction plans and closely monitor its proper implementation.
</li><li>Co-ordinate and closely follow-up with the Contractor's technical team to expedite any drawings revision and submission.
</li><li>Control closely the Contractor&rsquo;s Work program submitted by the Contractor and notify the Engineer /the Employer about any slippage or delays with the recommendations for mitigation.
</li><li>Monitor and expedite contractor's procurement of material and equipment. Report to the Engineer/ the Employer any delays that may occur.
</li><li>Participate in any modification changes that may occur during project period, evaluate its impact on the system, and provide acceptable operational solutions.
</li><li>Attending the Weekly meetings between contractor, consultant and the Client and arranging meetings with the contractor at the Site.
</li><li>Be proactive in resolving any anticipated problems that may occur on site.
</li><li>Monitor and expedite contractor's procurement of material and equipment. Report to Management for any delays and critical items.
</li><li>Monitor, supervise and expedite the contractor&rsquo;s methods of exercising the testing and commissioning procedures and their records.
</li></ul>Essential Requirements:
<ul><li>Minimum Bachelor Degree in the relevant discipline.
</li><li>12 years&rsquo; experience.
</li><li>Minimum of 5 years&rsquo; experience in a similar position dealing with PMC/ Engineer / Employer.
</li><li>Proven previous experience in PMC Infra project is a MUST.
</li><li>Extensive experience in T&amp;C of Infrastructure projects.
</li><li>Proactive, good decision making skills.
</li><li>Excellent communication and leadership skills.
</li><li>Strong interpersonal skills and result oriented.
</li><li>Organized with excellent time management skills.</li></ul></div>

Infrastructure Utilities Engineer

Explore 55+ Ai engineer in Jeddah this October. Find roles across top companies and apply now to boost your career.

55 ai engineer jobs IN Jeddah

AI Engineer (Saudi Only)

Generative AI Engineer (Saudi-based only)

Generative AI Engineer (Saudi-based only)

AI Agent Architect (Saudi-based only)

AI Agent Architect (Saudi-based only)

Microsoft Engineer

Infrastructure Utilities Engineer