About Innovative Solutions

Innovative Solutions (IS) is a leading cybersecurity company in the GCC since 2003, now expanding into the broader digital world of opportunities. As we transcend beyond cybersecurity’s legacy of risk, fear, and loss, we are re-imagining our role as a digital partner focused on opportunity, optimism, and gain.

We are seeking a highly skilled AI & Data Engineer to pioneer the design and development of an exciting and futuristic Agentic AI solution.

Key Responsibilities

·       Design, develop, and deploy AI/ML models to support Threat Detection, Fraud Detection, and Event Classification.

·       Build, train, and fine-tune Agentic AI models that can autonomously handle triage and analysis workflows.

·       Develop scalable data pipelines for ingesting, preprocessing, and enriching structured and unstructured security data.

·       Implement explainable AI techniques for transparent detection and decision-making.

·       Collaborate with experts, and data scientists to enhance detection accuracy.

·       Continuously improve model performance through feedback loops, data augmentation, and retraining.

Preferred Experience

·       Prior development of AI models for Threat Detection or Fraud Detection.

·       Experience with cybersecurity data sources (network logs, endpoint telemetry, identity logs, threat intel).

·       Exposure to agentic AI concepts (autonomous task handling, decision chaining, tool use).

What We Offer

·        Opportunity to pioneer AI-driven Cybersecurity solutions & automation in the GCC region.

·       Work on cutting-edge Agentic AI technology shaping the future of cybersecurity.

·        Collaborative, future-oriented, and innovation-driven culture.

·       Attractive salary and benefits package.

Requirements

Qualifications & Requirements

·        Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.

·       2–3 years of experience in AI/ML development, ideally in cybersecurity, fraud detection, or anomaly detection.

·       Proven track record in AI model development for classification, detection, or predictive analytics.

·       Strong programming skills in Python, TensorFlow, PyTorch, Scikit-learn, or equivalent frameworks.

·        Experience with NLP, anomaly detection, reinforcement learning, or multi-agent systems is a plus.

·       Familiarity with cloud platforms (AWS, Azure, GCP) for scalable AI deployment.

·       Excellent problem-solving, analytical, and communication skills.