Senior AI Engineer - Riyadh

COGNNA; Remote; SAR 30,000 - 45,000; Full time

Job summary

A leading cybersecurity startup is seeking a Senior AI Engineer to design and deploy machine learning models focused on threat detection and analytics. This role requires a passion for problem-solving in cybersecurity, a bachelor's or master's degree in a relevant field, and over 5 years of experience in AI/ML development. You will work in a flexible, remote environment, collaborating with cross-functional teams to innovate and improve the security landscape. Competitive salary and equity options are offered.

Benefits

Competitive Package – Salary + equity options + performance incentives

Flexible & Remote – Work from anywhere

Team of Experts – Collaborate with skilled professionals

Growth‑Focused – Your ideas ship and your growth matters

Global Impact – Build impactful products

Qualifications

• 5+ years of experience in AI/ML development, especially in cybersecurity.
• Hands-on experience with ETL/ELT pipelines and distributed systems.
• Solid understanding of data storage and streaming.

Responsibilities

• Design, develop, and deploy ML models for threat detection and analytics.
• Implement monitoring and continuous improvement pipelines.
• Collaborate with cross-functional teams to deliver AI-powered solutions.

Skills

Machine learning engineering

Data engineering

Cloud platforms

Programming languages (Python, Java, R)

Machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn)

Deep learning architectures

Problem-solving

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

MLOps tools

Cloud-based AI services (AWS, GCP, Azure)

Job description

At COGNNA, we are on a mission to transform cybersecurity with intelligent, AI‑driven solutions. We’re looking for a Senior AI Engineer who thrives in fast‑paced startup environments and is excited to build cutting‑edge systems from the ground up. This role is ideal for someone who is as comfortable architecting large‑scale ML pipelines as they are coding data transformations, who enjoys solving hard problems hands‑on, and who wants to make a meaningful impact on the future of cybersecurity.

Key Responsibilities

• Design, develop, and deploy machine learning models for threat detection, behavioral analytics, and automation.
• Implement rigorous testing, monitoring, and continuous improvement pipelines to ensure reliable model performance in production.
• Stay on top of the latest advancements in AI/ML, evaluating and adopting relevant technologies to keep our platform ahead of the curve.
• Build and optimize data pipelines that handle large volumes of diverse security telemetry.
• Ensure data quality, scalability, and availability for ML workflows across the COGNNA ecosystem.
• Partner with platform engineers to integrate AI and data services seamlessly into production systems.
• Lead projects end‑to‑end, from conception to production deployment.
• Collaborate with cross‑functional teams (security engineers, product managers, platform engineers) to deliver AI‑powered solutions that meet real customer needs.
• Communicate technical concepts and trade‑offs clearly to both technical and non‑technical stakeholders.

What We’re Looking For

• Strong expertise in machine learning engineering (model development, deployment, monitoring).
• Solid foundation in data engineering (ETL/ELT pipelines, distributed systems, data storage/streaming).
• Hands‑on experience with cloud platforms, MLOps tools, and modern data stacks.
• A “startup mindset”: resourceful, comfortable wearing multiple hats, and willing to get into the details.
• Passion for tackling complex cybersecurity challenges with AI.
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
• 5+ years of experience in AI/ML development and implementation, with a focus on cybersecurity applications.
• Expertise in programming languages such as Python, Java, or R.
• Extensive experience with machine learning frameworks like TensorFlow, PyTorch, and Scikit‑Learn.
• Solid understanding of deep learning architectures, reinforcement learning, and natural language processing.
• Proven experience with data wrangling, feature selection, and model evaluation techniques.
• Familiarity with cloud‑based AI services (AWS, GCP, Azure) for scalable deployment of AI models.
• Exceptional problem‑solving and analytical skills with a passion for innovation.
• Strong communication and collaboration skills, comfortable interfacing with technical and non‑technical stakeholders.

Why Join Us?

💰 Competitive Package – Salary + equity options + performance incentives
🧘 Flexible & Remote – Work from anywhere with an outcomes‑first culture
🤝 Team of Experts – Work with designers, engineers, and security pros solving real‑world problems
🚀 Growth‑Focused – Your ideas ship, your voice counts, your growth matters
🌍 Global Impact – Build products that protect critical systems and data

What We Value

• A commitment to continuous learning and curiosity about emerging AI technologies.
• A team‑oriented mindset with a drive to mentor and grow fellow team members.
• A result‑oriented approach to solving real‑world problems through technology.