artificial intelligence engineer Jobs in Riyadh

artificial intelligence engineer

ai automation (llms, rag) engineer Jobs in Riyadh

ai automation (llms, rag) engineer

ai engineer

ai solution, engineer

ai systems engineer

ai automation llms rag engineer

HUED | هيود

<div>
 
 
 Job Summary
 
 
 
 We are seeking an experienced AI Applications / Solutions Engineer to design, build, and deploy intelligent solutions powered by modern AI technologies. The ideal candidate will have strong expertise in Large Language Models (LLMs), Generative AI (GenAI), and Retrieval-Augmented Generation (RAG) systems, with the ability to integrate AI models with enterprise data and business workflows.
 
 
 This role requires a strong software engineering background combined with hands-on experience in developing scalable AI-driven applications, optimizing model performance, and delivering production-ready solutions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy AI-powered applications using Large Language Models (LLMs) and Generative AI technologies.
 </li>
 <li>
 Build and optimize Retrieval-Augmented Generation (RAG) pipelines integrated with enterprise data sources.
 </li>
 <li>
 Develop effective prompt engineering strategies to improve AI output quality, consistency, and reliability.
 </li>
 <li>
 Prepare and process structured and unstructured datasets for AI model consumption, including data cleaning, chunking, and embedding generation.
 </li>
 <li>
 Integrate AI systems with internal platforms, APIs, and business applications.
 </li>
 <li>
 Work with vector databases such as Pinecone or FAISS for semantic search and knowledge retrieval.
 </li>
 <li>
 Evaluate model performance and continuously improve solution accuracy, latency, and scalability.
 </li>
 <li>
 Collaborate with cross-functional teams to identify AI use cases and deliver business-driven solutions.
 </li>
 <li>
 Stay updated with the latest advancements in AI, LLMs, and GenAI technologies.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Software Engineering, AI, or a related field.
 </li>
 <li>
 Minimum 4 years of software development experience.
 </li>
 <li>
 Recent hands-on experience in Artificial Intelligence, particularly in LLM and GenAI applications.
 </li>
 <li>
 Strong understanding of Large Language Models (LLMs) and their practical applications.
 </li>
 <li>
 Proven experience in designing and implementing Generative AI solutions.
 </li>
 <li>
 Strong experience in Prompt Engineering.
 </li>
 <li>
 Hands-on experience building RAG solutions.
 </li>
 <li>
 Strong proficiency in Python.
 </li>
 <li>
 Experience in data preparation for AI systems (Cleaning, Chunking, Embedding).
 </li>
 <li>
 Experience working with vector databases such as Pinecone or FAISS.
 </li>
 <li>
 Familiarity with Fine-Tuning techniques is a strong plus.
 </li>
 </ul>
</div>

Artificial Intelligence Engineer

SEDER GROUP

<div>
 
 
 About Us
 
 
 
 Seder Group is a leading Saudi organization providing integrated services across multiple sectors throughout the Kingdom of Saudi Arabia. We are committed to delivering excellence, innovation, and sustainable solutions that support the Kingdom's growth.
 
 
 
 
 
 
 About the job
 
 
 
 We are seeking a highly skilled
 
 
 Senior AI Engineer to join our growing team in Riyadh. The ideal candidate will have strong expertise in designing, developing, and deploying AI-powered solutions, with hands-on experience in Computer Vision, Natural Language Processing, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). You will play a key role in developing innovative AI applications that drive business value and enhance customer experiences.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy AI and machine learning solutions for business applications.
 </li>
 <li>
 Build and optimize Computer Vision (CV) models for image and video analysis.
 </li>
 <li>
 Develop Natural Language Processing (NLP) applications, including text classification, information extraction, and language understanding.
 </li>
 <li>
 Design and implement intelligent chatbots and virtual assistants powered by Large Language Models (LLMs).
 </li>
 <li>
 Develop and optimize Retrieval-Augmented Generation (RAG) systems for enterprise AI solutions.
 </li>
 <li>
 Integrate Text-to-Speech (TTS) and Speech-to-Text (STT) technologies into AI applications.
 </li>
 <li>
 Deploy AI models on cloud platforms and ensure scalability, security, and performance.
 </li>
 <li>
 Collaborate with cross-functional teams to gather requirements and deliver AI-driven products.
 </li>
 <li>
 Optimize model performance through testing, monitoring, and continuous improvement.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
 </li>
 <li>
 3&ndash;5 years of experience in AI/ML engineering or a related role.
 </li>
 <li>
 Strong experience in Computer Vision (CV).
 </li>
 <li>
 Strong experience in Natural Language Processing (NLP).
 </li>
 <li>
 Hands-on experience with Large Language Models (LLMs) such as GPT, Llama, Claude, or similar models.
 </li>
 <li>
 Experience in designing and implementing Retrieval-Augmented Generation (RAG) solutions.
 </li>
 <li>
 Experience developing AI-powered chatbots and conversational AI applications.
 </li>
 <li>
 Experience with Text-to-Speech (TTS) and Speech-to-Text (STT) technologies.
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Competencies
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Excellent programming and software engineering practices.
 </li>
 <li>
 Ability to work independently and collaboratively in a fast-paced environment.
 </li>
 <li>
 Strong communication and presentation skills.
 </li>
 <li>
 Passion for innovation and emerging AI technologies.
 </li>
 </ul>
 
 
 
 
 
 
</div>

Senior AI Engineer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Senior AI Engineer (Arabic Speaker)</h1>
Location: Riyadh, Saudi Arabia 
Experience: 6&ndash;8 Years 
Employment Type: Full-Time / Contract 
Language Requirement: Native or Fluent Arabic Speaker (Mandatory)<h2 class="jobSectionHeader">
About the Role</h2>
We are seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in Artificial Intelligence, Generative AI, Machine Learning Operations (MLOps), and Cloud-based AI Platforms, with proven experience in designing, developing, deploying, and managing enterprise-grade AI solutions.
The successful candidate will play a key role in building scalable AI systems, implementing GenAI applications, operationalizing machine learning models, and collaborating with business stakeholders to deliver innovative AI-driven solutions that create measurable business impact.<h2 class="jobSectionHeader">
Key Responsibilities</h2><h3 class="jobSectionHeader">
AI &amp; Machine Learning Development</h3><ul><li>
Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases.</li><li>
Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions.</li><li>
Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies.</li><li>
Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures.</li><li>
Evaluate and benchmark AI models to ensure performance, scalability, and reliability.</li></ul><h3 class="jobSectionHeader">
Generative AI Engineering</h3><ul><li>
Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms.</li><li>
Develop conversational AI solutions, intelligent assistants, and knowledge management systems.</li><li>
Build prompt engineering frameworks and optimize prompts for business use cases.</li><li>
Implement vector databases and semantic search solutions.</li><li>
Develop AI agents and autonomous workflows using modern AI orchestration frameworks.</li></ul><h3 class="jobSectionHeader">
MLOps &amp; AI Operations</h3><ul><li>
Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.</li><li>
Automate model deployment using CI/CD pipelines and infrastructure-as-code practices.</li><li>
Monitor model performance, drift detection, retraining strategies, and operational KPIs.</li><li>
Establish AI governance, model versioning, reproducibility, and compliance standards.</li><li>
Implement scalable AI platforms supporting multiple business units.</li></ul><h3 class="jobSectionHeader">
Cloud &amp; Platform Engineering</h3><ul><li>
Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI.</li><li>
Manage containerized AI environments using Docker and Kubernetes.</li><li>
Design scalable AI infrastructure supporting high-volume enterprise workloads.</li><li>
Optimize cloud resources, performance, and operational costs.</li></ul><h3 class="jobSectionHeader">
Data Engineering &amp; Integration</h3><ul><li>
Collaborate with data engineering teams to build AI-ready data pipelines.</li><li>
Integrate AI solutions with enterprise applications, APIs, databases, and business platforms.</li><li>
Ensure data quality, security, privacy, and compliance with organizational standards.</li></ul><h3 class="jobSectionHeader">
Stakeholder Management</h3><ul><li>
Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions.</li><li>
Present AI solution architectures, recommendations, and project outcomes to technical and non-technical audiences.</li><li>
Mentor junior AI engineers, data scientists, and platform engineers.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Artificial Intelligence &amp; Machine Learning</h3><ul><li>
Machine Learning</li><li>
Deep Learning</li><li>
Natural Language Processing (NLP)</li><li>
Predictive Analytics</li><li>
Computer Vision (preferred)</li><li>
Reinforcement Learning (preferred)</li></ul><h3 class="jobSectionHeader">
Generative AI</h3><ul><li>
Large Language Models (LLMs)</li><li>
Retrieval-Augmented Generation (RAG)</li><li>
Prompt Engineering</li><li>
AI Agents &amp; Multi-Agent Systems</li><li>
Fine-Tuning and Model Optimization</li><li>
Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)</li><li>
LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen</li></ul><h3 class="jobSectionHeader">
MLOps</h3><ul><li>
MLflow</li><li>
Kubeflow</li><li>
Airflow</li><li>
Model Monitoring &amp; Observability</li><li>
CI/CD for ML</li><li>
Feature Stores</li><li>
Model Registry</li><li>
Experiment Tracking</li><li>
Model Governance</li></ul><h3 class="jobSectionHeader">
Cloud Platforms</h3><ul><li>
Microsoft Azure</li><li>
AWS</li><li>
Google Cloud Platform (GCP)</li><li>
Oracle Cloud Infrastructure (OCI) &ndash; Preferred</li></ul><h3 class="jobSectionHeader">
Containers &amp; DevOps</h3><ul><li>
Docker</li><li>
Kubernetes</li><li>
Git</li><li>
GitHub Actions</li><li>
Jenkins</li><li>
Terraform</li><li>
Infrastructure as Code</li></ul><h3 class="jobSectionHeader">
Programming Languages</h3><ul><li>
Python (Mandatory)</li><li>
SQL</li><li>
Bash/Shell Scripting</li><li>
Java or C# (Preferred)</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.</li><li>
Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</li></ul><h2 class="jobSectionHeader">
Experience Requirements</h2><ul><li>
6&ndash;8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</li><li>
Minimum 3+ years of hands-on experience implementing Generative AI solutions.</li><li>
Proven experience building and operationalizing machine learning models in production environments.</li><li>
Strong experience implementing enterprise MLOps frameworks and practices.</li><li>
Experience working with cloud-native AI services and modern AI platforms.</li></ul><h2 class="jobSectionHeader">
Preferred Certifications</h2><ul><li>
Microsoft Azure AI Engineer Associate</li><li>
AWS Machine Learning Specialty</li><li>
Google Professional Machine Learning Engineer</li><li>
OCI AI Foundations Associate</li><li>
Kubernetes Certifications (CKA/CKAD)</li><li>
Databricks Machine Learning Professional</li></ul><h2 class="jobSectionHeader">
Soft Skills</h2><ul><li>
Strong analytical and problem-solving skills.</li><li>
Excellent communication and stakeholder management abilities.</li><li>
Ability to work effectively in cross-functional and multicultural environments.</li><li>
Strong ownership, accountability, and leadership mindset.</li><li>
Passion for innovation and continuous learning.</li><li>
Ability to communicate fluently in both Arabic and English.</li></ul><h2 class="jobSectionHeader">
Mandatory Requirements</h2><ul><li>
Native or Fluent Arabic Speaker.</li><li>
6&ndash;8 years of relevant AI/ML engineering experience.</li><li>
Hands-on expertise in Generative AI and MLOps.</li><li>
Strong Python programming skills.</li><li>
Experience deploying AI solutions in enterprise production environments.</li><li>
Willingness to work onsite in Riyadh, Saudi Arabia.</li></ul>
synAh1U1mw</div>

Senior AI Engineer (Arabic Speaker)

Nameless Ventures

<div>
 
 Looks like your next bAIg move!
 
 
 
 
 
 Get it? AI, Big, BAIg? Ok i'll stop now.
 
 
 
 
 
 We&rsquo;ve partnered with a stealth-mode AI delivery company operating at the heart of some of the most strategic initiatives in Saudi Arabia. They work directly with major enterprises and government-backed entities, embedding engineers on-site to build and deploy real AI systems in production - not just talk about them.
 
 
 
 
 
 They are now looking for Forward Deployed Engineers (FDEs) to join their founding team in KSA!
 
 
 
 
 
 🚀
 
 The Role:
 
 
 
 You&rsquo;ll be embedded directly within client environments, working side-by-side with stakeholders to identify real business problems and build AI-driven solutions from scratch.
 
 
 We&rsquo;re talking:
 
 
 &rarr; LLMs, RAG pipelines, agent-based systems
 
 
 &rarr; Integrations with enterprise platforms (SAP, Oracle, etc.)
 
 
 &rarr; Full ownership from problem &rarr; architecture &rarr; build &rarr; deployment
 
 
 
 
 
 In simple terms: You build it. You ship it. You own it.
 
 
 
 
 
 
 ✅ What You&rsquo;ll Already Have:
 
 
 
 -4+ years of experience in backend / data / software engineering
 
 
 -Python wizard
 
 
 -Exposure to AI / LLMs / data pipelines (RAG, agents, etc.)
 
 
 -Strong communication skills - able to work directly with clients
 
 
 -Comfortable working on-site and traveling across the region
 
 
 -Arabic fluency is the cherry on top
 
 
 
 
 
 
 🎁 Package &amp; Benefits:
 
 
 
 -Competitive Salary!
 
 
 -Housing, transport, and schooling support (Nice, eh?)
 
 
 -High-impact work across some of the region&rsquo;s most important organisations
 
 
 -Opportunity to be part of a founding AI engineering team in KSA
 
 
 
 
 
 Hit that apply button or drop me a message and we&rsquo;ll take it from there 👀
 
</div>

Forward Deployed Engineer

MASTER-WORKS

<div>Our subsidiary (Nabeh) is seeking an AI Solution, Engineer who combines strong technical knowledge in AI and software engineering with excellent customer-facing and presentation skills. The role will work closely with Sales, Product, and Engineering teams to understand customer requirements, define solution scope, build Proofs of Concept, demonstrate AI products, and translate business needs into practical technical solutions.
Key Responsibilities:<ul><li>
Build and deliver AI Proofs of Concept and technical prototypes.</li><li>
Support Sales during customer meetings, workshops, and product demonstrations.</li><li>
Understand customer requirements and translate them into clear technical and product scopes.</li><li>
Evaluate AI models and technologies based on accuracy, performance, and business needs.</li><li>
Prepare high-level solution architectures, workflows, and technical documentation.</li><li>
Support technical proposals, RFPs, and RFIs.</li><li>
Define POC success criteria, assumptions, limitations, and dependencies.</li><li>
Coordinate with Product and Engineering teams to ensure smooth project handover.</li><li>
Collect customer feedback and recommend product enhancements.</li><li>
Communicate technical capabilities and limitations to technical and non-technical stakeholders.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.</li><li>
+3 years of experience in AI engineering, software engineering, solution engineering, or technical pre-sales.</li><li>
Strong knowledge of AI, machine learning, Generative AI, and software development.</li><li>
Hands-on experience with Python, APIs, databases, and backend development.</li><li>
Familiarity with LLMs, RAG, computer vision, speech AI, or document intelligence.</li><li>
Ability to build prototypes and integrate AI models into applications.</li><li>
Strong communication, presentation, and problem-solving skills.</li><li>
Ability to translate business requirements into practical technical solutions.</li><li>
Native Arabic speaker is mandatory.</li><li>
Strong professional proficiency in English is required.</li></ul>
Preferred Skills<ul><li>
FastAPI, Flask, or Django</li><li>
PostgreSQL and vector databases</li><li>
Docker and Kubernetes</li><li>
Cloud and on-premises AI deployments</li><li>
AI model serving and GPU infrastructure</li><li>
Product demonstrations and technical proposal writing</li></ul>
Job location: HQ 
Benefits</div>

AI Solution, Engineer

Sulava MEA

<div>
 We are looking for a
 
 Deployment Engineer &amp; Architect
 
 to lead the design, development, and deployment of AI agent solutions using Microsoft Copilot, Copilot Studio, and Azure AI services for our Customers.
 
 
 This role is a combination of
 
 hands-on engineering and architecture leadership
 
 , focusing on building scalable, secure, and high-impact AI solutions. You will play a key role in our
 
 Agent Factory (FFL)
 
 model&mdash;delivering production-ready AI agents that transform business processes.
 
 
 
 
 What You Will Do
 
 
 
 
 <ul>
 <li>
 Design and implement end-to-end AI agent architectures across Microsoft 365 and Azure
 </li>
 <li>
 Build and deploy agents using Copilot Studio and integrate with enterprise systems
 </li>
 <li>
 Develop custom plugins, connectors, and workflows to extend agent capabilities
 </li>
 <li>
 Lead technical design for Agent Factory (FFL) delivery and scaling models
 </li>
 <li>
 Work with customer teams to translate business use cases into technical solutions
 </li>
 <li>
 Implement RAG pipelines, integrations, and data orchestration for agent intelligence
 </li>
 <li>
 Set up and optimize Azure AI environments, landing zones, and deployment pipelines
 </li>
 <li>
 Ensure security, governance, and compliance in all solutions
 </li>
 <li>
 Collaborate with AI Transformation Advisors to deliver end-to-end customer impact
 </li>
 <li>
 Support testing, optimization, and continuous improvement of agent solutions
 
 
 </li>
 </ul>
 
 
 What You Bring
 
 
 
 
 
 
 Core Engineering &amp; Architecture Skills
 
 
 
 
 <ul>
 <li>
 Strong software engineering background (e.g. .NET, Python, JavaScript/TypeScript)
 </li>
 <li>
 Experience designing scalable cloud-native architectures
 </li>
 <li>
 Ability to lead technical design and architecture decisions
 
 
 </li>
 </ul>
 
 
 AI &amp; Agent Development
 
 
 
 
 <ul>
 <li>
 Hands-on experience with Copilot Studio and agent development
 </li>
 <li>
 Experience building AI solutions using Azure AI / Azure AI Foundry
 </li>
 <li>
 Understanding of multi-agent patterns, orchestration, and automation
 </li>
 <li>
 Experience integrating APIs, data sources, and enterprise systems
 
 
 </li>
 </ul>
 👉 Agents operate across business processes and systems, combining orchestration, automation, and knowledge layers to deliver real value [
 
 
 
 
 Data &amp; Integration
 
 
 
 
 <ul>
 <li>
 Experience with RAG (Retrieval-Augmented Generation) architectures
 </li>
 <li>
 Knowledge of Azure AI Search, data pipelines, and indexing approaches
 </li>
 <li>
 Experience integrating with Microsoft Graph, SharePoint, and enterprise data sources
 
 
 </li>
 </ul>
 
 
 Security &amp; Governance
 
 
 
 
 <ul>
 <li>
 Understanding of enterprise security, identity (Entra ID), and data protection
 </li>
 <li>
 Experience implementing AI governance, compliance, and data security controls
 
 
 </li>
 </ul>
 👉 AI solutions are expected to include governance, identity, and security layers alongside agent orchestration and data acces
 
 
 
 
 What Makes You Successful
 
 
 
 
 <ul>
 <li>
 You can move from architecture to hands-on delivery seamlessly
 </li>
 <li>
 You build solutions that are production-ready, secure, and scalable
 </li>
 <li>
 You understand both technical design and real business impact
 </li>
 <li>
 You are comfortable working in fast-evolving AI environments
 </li>
 <li>
 You take ownership and drive technical outcomes end-to-end
 
 
 </li>
 </ul>
 
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Experience with Power Platform (Power Automate, Dataverse)
 </li>
 <li>
 Familiarity with Copilot extensibility and plugin models
 </li>
 <li>
 Experience with DevOps / CI-CD pipelines for AI solutions
 </li>
 <li>
 Knowledge of KSA regulatory and data residency requirements
 </li>
 <li>
 Arabic language skills
 </li>
 </ul>
</div>

Deployment Engineer & Architect

FlyAkeed

<div>
 
 About FlyAkeed:
 
 
 
 FlyAkeed is a leading online platform dedicated to simplifying the travel booking process for flights and hotels. Established in 2017 and headquartered in Riyadh, Saudi Arabia, we are committed to delivering an exceptional travel experience for our clients.
 
 
 
 Highlights:
 
 
 
 Current funding stage: Series A
 
 
 Supported by: PIF subsidiary Sanabil Investments, Elm, Artal Capital, Alrajhi Partners.
 
 
 
 Role Definition
 
 
 
 A Go-To-Market (GTM) Engineer is a hybrid technical and revenue-focused role that bridges Sales, Marketing, Growth, Revenue Operations, and Engineering. The role is responsible for designing, building, integrating, and automating the technical infrastructure that powers the buyer journey, from lead generation and data enrichment to AI-powered personalization, lead routing, pipeline management, and performance reporting.
 
 
 The GTM Engineer translates business requirements and growth strategies into scalable technical workflows that reduce manual work, improve data quality, accelerate sales execution, and drive repeatable revenue growth.
 
 
 
 Role Overview
 
 
 
 We are looking for a highly technical and business-minded GTM Engineer to join FlyAkeed's Growth team in Riyadh. This role sits at the intersection of revenue strategy, data, automation, and systems architecture. You will be responsible for building and optimizing the technical engine behind FlyAkeed's go-to-market operations, including CRM workflows, enrichment systems, outbound campaigns, AI-driven personalization, lead scoring, reporting dashboards, and integrations across the sales and marketing tech stack.
 
 
 The ideal candidate is comfortable working with both commercial teams and technical tools. You should be able to understand sales and marketing needs, convert them into automated workflows, and continuously improve the systems that help FlyAkeed scale its revenue engine across Saudi Arabia and the GCC.
 
 
 
 Key Responsibilities:
 
 
 
 
 GTM Systems &amp; Architecture
 
 
 
 <ul>
 <li>
 Design, build, integrate, and maintain FlyAkeed's GTM tech stack across CRM, marketing automation, outbound, enrichment, analytics, and sales productivity tools
 </li>
 <li>
 Ensure seamless data flow between systems such as HubSpot, Clay, n8n, Make, Smartlead, Lemlist, analytics tools, and other revenue platforms
 </li>
 <li>
 Translate business requirements from Sales, Marketing, Growth, and RevOps teams into scalable technical workflows
 </li>
 <li>
 dentify system gaps, workflow inefficiencies, and manual processes that can be automated or improved
 
 
 </li>
 </ul>
 
 Workflow Automation
 
 
 
 <ul>
 <li>
 Build and deploy automated workflows for lead capture, enrichment, scoring, qualification, routing, follow-up, and lifecycle management
 </li>
 <li>
 Create automation logic to assign high-priority leads or accounts to the right sales team members in a timely and accurate manner
 </li>
 <li>
 Automate repetitive sales and marketing operations to improve team productivity and execution speed
 </li>
 <li>
 Maintain documentation of GTM workflows, system logic, and automation rules
 
 
 </li>
 </ul>
 
 Lead Generation &amp; Outbound Operations
 
 
 
 <ul>
 <li>
 Build and manage prospecting systems using tools such as Clay, LinkedIn Sales Navigator, enrichment platforms, and outbound sequencing tools
 </li>
 <li>
 Support outbound campaign execution, including list building, segmentation, personalization workflows, sequencing, and performance tracking
 </li>
 <li>
 Improve account prioritization, lead qualification, and campaign targeting based on data and market signals
 </li>
 <li>
 Collaborate with Sales and Marketing teams to improve lead quality and conversion rates
 
 
 </li>
 </ul>
 
 AI Implementation &amp; Personalization
 
 
 
 <ul>
 <li>
 Design and implement AI-powered workflows to support account research, lead qualification, personalized outreach, sales enablement, and next-best-action recommendations
 </li>
 <li>
 Configure AI and LLM-based tools to generate relevant company insights, prospect summaries, personalized messaging, and campaign support
 </li>
 <li>
 Continuously test AI use cases that improve GTM efficiency, personalization, and sales productivity
 
 
 </li>
 </ul>
 
 Data Management &amp; CRM Operations
 
 
 
 <ul>
 <li>
 Own CRM data hygiene, segmentation, deduplication, enrichment, validation rules, and lifecycle stage management
 </li>
 <li>
 Ensure clean and reliable data across GTM systems to support accurate reporting and decision-making
 </li>
 <li>
 Manage lead source tracking, UTM tracking, form capture, field mapping, and campaign attribution
 </li>
 <li>
 Support data governance and improve consistency across sales and marketing operations
 
 
 </li>
 </ul>
 
 Analytics, Reporting &amp; Experimentation
 
 
 
 <ul>
 <li>
 Build dashboards and reports to track pipeline health, campaign performance, funnel conversion, lead quality, sales productivity, and revenue impact
 </li>
 <li>
 Monitor GTM performance and identify opportunities to improve conversion rates across the buyer journey
 </li>
 <li>
 Run experiments across outbound, lead scoring, personalization, routing, and campaign workflows
 </li>
 <li>
 Provide insights and recommendations to support better GTM decision-making
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Minimum 3 years of hands-on experience in GTM Engineering, Revenue Operations, Marketing Operations, Sales Operations, Growth Operations, or a similar technical growth role
 </li>
 <li>
 Strong experience with CRM platforms, preferably HubSpot
 </li>
 <li>
 Hands-on experience with automation tools such as Clay, n8n, Make, Zapier, or similar platforms
 </li>
 <li>
 Familiarity with outbound, enrichment, and prospecting tools such as Clay, Smartlead, Lemlist, or similar
 </li>
 <li>
 Strong understanding of B2B sales funnels, lead generation, pipeline management, sales processes, and campaign operations
 </li>
 <li>
 Ability to build workflows, manage data structures, clean datasets, and design segmentation logic
 </li>
 <li>
 Strong data literacy with the ability to analyze funnel performance, campaign results, and pipeline metrics
 </li>
 <li>
 Comfortable using AI tools and LLMs for research, personalization, automation, and productivity
 </li>
 <li>
 Strong problem-solving skills with the ability to convert business needs into scalable technical systems
 </li>
 <li>
 Good communication skills and ability to work cross-functionally with Sales, Marketing,Growth, RevOps, and Product teams
 </li>
 <li>
 Based in or willing to relocate to Riyadh, Saudi Arabia
 </li>
 </ul>
</div>

GTM Engineer

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