AI Team Lead

Overview

Requirements

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.

Required Skills & Qualifications

• 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.**
• Nice to Have
• Experience in government, healthcare, finance, telecom, or regulated enterprise environments.
• Experience with GPU-based model training and inference optimization.
• Experience with computer vision, OCR, document AI, speech AI, or multimodal AI systems.
• Experience with Azure OpenAI, Oracle AI Services, AWS Bedrock, Google Vertex AI, or similar enterprise AI platforms.
• Knowledge of AI governance, responsible AI, data privacy, cybersecurity, and compliance frameworks.
• Experience in presales, technical proposal preparation, and client-facing solution presentations.
• Arabic language skills are an advantage.

Benefits

• Opportunity to lead strategic AI initiatives in Saudi Arabia.
• Work on advanced AI solutions across Generative AI, machine learning, deep learning, and data science.
• Leadership role with direct impact on enterprise and government AI transformation projects.
• Collaborative and innovation-driven work environment.
• Competitive compensation package.
• Access to modern AI infrastructure, cloud platforms, and enterprise data environments.
• Professional growth, leadership development, and continuous learning opportunities.