As an AI Engineer at COGNNA , you will be at the forefront of developing cutting-edge AI solutions that enhance our cybersecurity products. You will join our AI & ML team and collaborate with top-class engineers and data scientists to design, implement, and optimize machine learning algorithms that analyze and mitigate threats in real time. Key Responsibilities Develop and implement machine learning and deep learning algorithms to improve our threat detection capabilities. Work with large datasets to train and validate models while ensuring the accuracy and performance of the AI systems. Collaborate with cross-functional teams to integrate AI solutions into our existing products. Research and stay updated with the latest trends and advancements in AI technologies. Design, test, and deploy AI models using appropriate frameworks and tools. Monitor and evaluate the performance of AI systems, implementing improvements as necessary. Document processes, algorithms, and model performance for future reference and compliance. Mentor junior AI engineers and contribute to team knowledge sharing. Why Join Us? Joining COGNNA means being part of a visionary team dedicated to solving some of today’s biggest cybersecurity challenges. We encourage innovation, value contributions, and provide numerous opportunities for personal and professional growth. Ready to amplify your AI engineering skills? Apply today and help us safeguard the digital world! Requirements Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 3+ years of experience in AI/ML development and deployment. Strong proficiency in programming languages such as Python, Java, or R. Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn. Solid understanding of algorithms, data structures, and statistical analysis. Familiarity with neural networks and computer vision concepts. Experience with data preprocessing, feature engineering, and model evaluation techniques. Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and their AI services. Proven ability to work collaboratively in a fast-paced environment. Excellent problem-solving skills and a passion for innovation. What We Value Curiosity and a willingness to learn about new AI technologies. A proactive mindset that embraces challenge and creative problem-solving. Strong communication skills to convey complex ideas clearly and effectively.
As an AI Engineer at COGNNA , you will be at the forefront of developing cutting-edge AI solutions that enhance our cybersecurity products. You will join our AI & ML team and collaborate with top-class engineers and data scientists to design, implement, and optimize machine learning algorithms that analyze and mitigate threats in real time. Key Responsibilities Develop and implement machine learning and deep learning algorithms to improve our threat detection capabilities Work with large datasets to train and validate models while ensuring the accuracy and performance of the AI systems Collaborate with cross-functional teams to integrate AI solutions into our existing products Research and stay updated with the latest trends and advancements in AI technologies Design, test, and deploy AI models using appropriate frameworks and tools Monitor and evaluate the performance of AI systems, implementing improvements as necessary Document processes, algorithms, and model performance for future reference and compliance Mentor junior AI engineers and contribute to team knowledge sharing Why Join Us? Joining COGNNA means being part of a visionary team dedicated to solving some of today's biggest cybersecurity challenges. We encourage innovation, value contributions, and provide numerous opportunities for personal and professional growth. Ready to amplify your AI engineering skills? Apply today and help us safeguard the digital world! Requirements Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field 3+ years of experience in AI/ML development and deployment Strong proficiency in programming languages such as Python, Java, or R Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn Solid understanding of algorithms, data structures, and statistical analysis Familiarity with neural networks and computer vision concepts Experience with data preprocessing, feature engineering, and model evaluation techniques Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and their AI services Proven ability to work collaboratively in a fast-paced environment Excellent problem-solving skills and a passion for innovation What We Value Curiosity and a willingness to learn about new AI technologies A proactive mindset that embraces challenge and creative problem-solving Strong communication skills to convey complex ideas clearly and effectively
As an AI Engineer at COGNNA , you will be at the forefront of developing cutting-edge AI solutions that enhance our cybersecurity products. You will join our AI & ML team and collaborate with top-class engineers and data scientists to design, implement, and optimize machine learning algorithms that analyze and mitigate threats in real time. Key Responsibilities Develop and implement machine learning and deep learning algorithms to improve our threat detection capabilities Work with large datasets to train and validate models while ensuring the accuracy and performance of the AI systems Collaborate with cross-functional teams to integrate AI solutions into our existing products Research and stay updated with the latest trends and advancements in AI technologies Design, test, and deploy AI models using appropriate frameworks and tools Monitor and evaluate the performance of AI systems, implementing improvements as necessary Document processes, algorithms, and model performance for future reference and compliance Why Join Us? Joining COGNNA means being part of a visionary team dedicated to solving some of today's biggest cybersecurity challenges. We encourage innovation, value contributions, and provide numerous opportunities for personal and professional growth. Ready to amplify your AI engineering skills? Apply today and help us safeguard the digital world! Requirements Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field 3+ years of experience in AI/ML development and deployment Strong proficiency in programming languages such as Python, Java, or R Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn Solid understanding of algorithms, data structures, and statistical analysis Familiarity with neural networks and computer vision concepts Experience with data preprocessing, feature engineering, and model evaluation techniques Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and their AI services Proven ability to work collaboratively in a fast-paced environment Excellent problem-solving skills and a passion for innovation What We Value Curiosity and a willingness to learn about new AI technologies A proactive mindset that embraces challenge and creative problem-solving Strong communication skills to convey complex ideas clearly and effectively Benefits 💰 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
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 AI/ML Engineering 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. Data Engineering 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. Leadership & Collaboration 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": you're resourceful, comfortable wearing multiple hats, and willing to get into the details. Passion for tackling complex cybersecurity challenges with AI. Why Join Us? At COGNNA, you'll be part of a small, innovative team where your work directly shapes the product and the company's future. You'll have the freedom (and responsibility) to design, build, and ship impactful AI solutions that help security teams defend against evolving threats. If you want to push the boundaries of AI in cybersecurity, thrive in a collaborative and fast-moving environment, and enjoy the grind of building something that matters, then we'd love to hear from you! Take the next step in your AI engineering career and apply today! Requirements 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 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 Benefits 💰 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
We are seeking a GRC Expert with 4+ years of hands-on experience to support the operation of our GRC department. This role requires a strong background in international certification frameworks (ISO 27001, SOC 2), comprehensive Risk Management experience, and specific expertise in Identity and Access Management (IAM) governance. You will be instrumental in leveraging our automated compliance platform (Vanta) to streamline evidence collection, manage audits, and ensure continuous compliance. Compliance & Certification Management Lead the preparation and execution of external audits for ISO 27001 and SOC 2 (Type 1 & 2) certifications Manage compliance with local Saudi regulations, specifically NCA ECC and SAMA cybersecurity frameworks Utilize the Vanta platform to map internal controls to regulatory requirements (Custom Frameworks) and automate evidence collection Monitor compliance posture daily, ensuring all automated tests in Vanta are passing and remediating gaps promptly Identity & Access Management (IAM) Governance Oversee the IAM lifecycle from a governance perspective, ensuring "Least Privilege" and "Need-to-Know" principles are enforced Manage and execute Quarterly Access Reviews (User Access Reviews) campaigns within Vanta Monitor Identity Provider (IdP) integrations (e.g., Okta, Azure AD, Google Workspace) to ensure 100% MFA adoption and timely offboarding of terminated users Review and approve privileged access requests and ensure proper documentation of business needs Risk Management Maintain and update the organizational Risk Register Conduct periodic risk assessments, identifying threats and vulnerabilities, and tracking risk treatment plans to closure Perform Third-Party Risk Management (TPRM) assessments for new and existing vendors Policy & Audit Operations Review and update information security policies and procedures annually or as needed Coordinate internal audits and pre-assessments to ensure readiness for external certification bodies Assist in responding to client security questionnaires and maintaining the Vanta Trust Center Requirements Minimum of 4 years of dedicated experience in GRC, Information Security, or IT Audit Deep understanding of ISO 27001 and SOC 2 controls Familiarity with NCA ECC and SAMA regulations Experience with automated GRC platforms Solid understanding of IAM concepts (RBAC, SSO, MFA, PAM) Proficiency in risk assessment methodologies (e.g., ISO 27005, NIST SP 800-30) Certifications Holding at least one relevant certification is preferred (e.g., CISA, CISM, CRISC, CISSP, ISO 27001 Lead Implementer/Auditor) Soft Skills Excellent communication skills in English (Arabic is a strong plus) Ability to work independently and manage multiple audit timelines simultaneously Strong analytical and problem-solving skills Benefits 💰 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
As a Security Architect , you will define and enforce security-by-design principles across our platforms. You'll partner with engineering, product, and customer-facing teams to build resilient, cloud-native architectures, integrate DevSecOps practices, and ensure our SOC platform aligns with leading security frameworks. This role is both strategic and practical: shaping security roadmaps, advising leadership, and guiding teams through implementation. 🔧 What You'll Do Design and Lead Security Architecture for COGNNA's multi-tenant SaaS platform, ensuring secure cloud-native deployments across AWS, GCP, and Azure Develop and enforce security-by-design principles, integrating them into product architecture, SDLC, and CI/CD pipelines Conduct risk assessments, threat modeling, and architecture reviews to identify gaps and propose effective mitigations Mentor and guide security engineers, elevating team capabilities in secure development, automation, and operations Build defense-in-depth strategies spanning application, infrastructure, and data security layers Implement and automate security controls using tools like Terraform, Ansible, SOAR, and CI/CD integrations Collaborate with compliance teams to map architectures against standards such as NIST, ISO 27001, and CIS benchmarks Partner with product and customer teams to support demos, POCs, and deployment design reviews with enterprise clients Stay ahead of threats and innovations, continuously improving our architecture to meet evolving security and regulatory demands Support incident response by designing resilient monitoring, detection, and recovery strategies into the architecture Requirements Bachelor's or Master's degree in Computer Science, Cybersecurity, Information Systems, or a related technical field 7+ years of experience in information security, with at least 3 years in a leadership or security architecture role Proven experience leading and mentoring security engineering teams Strong background in cloud security (AWS, Azure, or GCP), including architecture, monitoring, and incident response Hands-on experience with secure SDLC, DevSecOps practices, and CI/CD security integrations Deep understanding of security architecture frameworks (NIST, ISO 27001, CIS, etc.) Strong knowledge of application, infrastructure, and cloud security controls Proficiency with risk assessments, threat modeling, and security reviews Experience with security automation and orchestration tools (Terraform, Ansible, CI/CD integrations, SOAR) Familiarity with IAM, encryption, endpoint security, vulnerability management, and network security Knowledge of container and microservices security (Docker, Kubernetes) is a strong plus Excellent communication and leadership skills — able to translate complex architecture into clear guidance for technical and non-technical stakeholders Security certifications (e.g., CISSP, CISM, CCSP, SABSA) are highly desirable Fluent in English; Arabic proficiency is a bonus Willingness to travel for key customer engagements, demos, and industry events Benefits 💰 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