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Contract TypeContract TypeFull-time
Workplace typeWorkplace typeOn-site
LocationLocationRiyadh

About the Role

InnovationTeam is seeking a highly skilled AI Team Lead to join its team onsite in Riyadh, Saudi Arabia. The company specializes in delivering advanced AI-driven solutions for enterprises and government organizations. In this role, you will lead the design, development, implementation, and delivery of end-to-end AI solutions across various domains. This position requires a strong technical background in modern AI technologies, hands-on experience building production-ready AI solutions, and leadership capabilities to manage AI engineers, data scientists, ML engineers, and cross-functional delivery teams. The ideal candidate will translate business requirements into scalable AI solutions, manage project execution, guide technical teams, and ensure successful delivery of AI initiatives within scope, timeline, and quality standards.

Key Responsibilities

  • Lead the AI team in designing, developing, and delivering enterprise AI solutions.
  • Manage AI projects from requirement gathering to production deployment.
  • Translate business needs into technical AI solution designs and implementation plans.
  • Design and supervise solutions involving Generative AI, LLMs, RAG systems, AI agents, NLP, machine learning, deep learning, and computer vision.
  • Lead data science initiatives, including data analysis, feature engineering, model development, evaluation, and optimization.
  • Build and oversee end-to-end AI pipelines, including data ingestion, preprocessing, model training, inference, monitoring, and continuous improvement.
  • Guide the implementation of machine learning and deep learning models using frameworks such as PyTorch, TensorFlow, Scikit-learn, and related tools.
  • Supervise the development of AI agents, chatbots, recommendation systems, classification models, predictive analytics, and intelligent automation solutions.
  • Define AI architecture, integration patterns, APIs, microservices, and deployment strategies.
  • Ensure AI solutions are scalable, secure, reliable, cost-efficient, and production-ready.
  • Collaborate with business stakeholders, product teams, data teams, software engineers, and cloud teams.
  • Manage task allocation, technical reviews, project milestones, risks, and delivery timelines.
  • Establish best practices for MLOps, LLMOps, model governance, model monitoring, documentation, and quality assurance.
  • Support presales and client discussions by providing technical input, solution proposals, effort estimation, and feasibility assessments.
  • Ensure AI solutions comply with security, privacy, governance, and responsible AI principles.
  • Mentor and coach AI engineers, ML engineers, data scientists, and junior team members.
  • Stay up to date with the latest developments in AI, machine learning, deep learning, Generative AI, cloud AI services, and enterprise AI platforms.

Qualifications and Requirements

  • Minimum 5 years of professional experience in AI, machine learning, data science, or related technology fields.
  • Minimum 2-3 years of experience leading AI teams or managing AI solution delivery.
  • Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, or a related field.
  • Strong hands-on experience in machine learning, deep learning, NLP, Generative AI, and data science.
  • Solid understanding of LLMs, RAG architectures, AI agents, vector databases, prompt engineering, and model evaluation.
  • Strong experience with Python and AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, or LlamaIndex.
  • Experience in building and deploying ML/DL models for real-world enterprise use cases.
  • Strong understanding of supervised learning, unsupervised learning, classification, regression, clustering, recommendation systems, forecasting, and anomaly detection.
  • Experience with data preparation, data quality assessment, feature engineering, model training, validation, testing, and performance monitoring.
  • Strong software engineering knowledge, including REST APIs, microservices, Docker, Kubernetes, CI/CD, and Git.
  • Experience deploying AI workloads on cloud platforms such as OCI, Azure, AWS, or GCP; OCI experience is preferred.
  • Knowledge of MLOps and LLMOps practices, including model versioning, monitoring, retraining, evaluation, and deployment automation.
  • Strong project management skills, including planning, estimation, risk management, stakeholder communication, and delivery tracking.
  • Ability to communicate complex technical concepts clearly to business and technical stakeholders.
  • Excellent problem-solving, analytical, leadership, and decision-making skills.
  • Excellent command of English, both written and spoken.
  • Willingness to work onsite in Saudi Arabia.

Required Skills

  • Generative AI, Machine Learning, Deep Learning, Data Science, Computer Vision, NLP, Intelligent Automation, and Enterprise AI Systems.
  • AI Solution Architecture, MLOps, LLMOps, and Cloud Deployment.
  • Proficiency with LLMs, RAG systems, AI agents, and related technologies.
  • Expertise in AI/ML frameworks including PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, and LlamaIndex.
  • Strong software engineering skills in REST APIs, microservices, Docker, Kubernetes, CI/CD, and Git.
  • Experience with cloud platforms such as OCI, Azure, AWS, and GCP.
  • Knowledge of MLOps/LLMOps practices covering model versioning, monitoring, retraining, evaluation, and deployment automation.
  • Project management capabilities including planning, estimation, risk management, stakeholder communication, and delivery tracking.
  • Advanced problem-solving, analytical, leadership, and decision-making skills.
  • Experience with GPU-based model training and inference optimization.
  • Familiarity with computer vision, OCR, document AI, speech AI, or multimodal AI systems.
  • Experience with enterprise AI platforms like Azure OpenAI, Oracle AI Services, AWS Bedrock, or Google Vertex AI.
  • Understanding of AI governance, responsible AI, data privacy, cybersecurity, and compliance frameworks.
  • Experience in presales, technical proposal preparation, and client-facing solution presentations.

Work Environment and Additional Information

This is a full-time position requiring onsite work in Riyadh, Saudi Arabia. The role offers the opportunity to lead strategic AI initiatives and work on advanced AI solutions. Experience in government, healthcare, finance, telecom, or regulated enterprise environments is considered a plus. Arabic language skills are an advantage.


Requirements

  • Requires +10 Years experience

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