About the Job: As part of our Cyber Technology Consulting team, you will design, build, and operationalize Generative AI–driven cybersecurity solutions across detection, response, risk, and assurance use cases. You will work closely with clients and internal cyber teams to apply AI responsibly and securely across Security Operations Centers (SOC), offensive security, Governance, Risk, and Compliance (GRC), and cyber defense functions. The role involves hands-on engineering, model integration, security architecture, and advisory leadership—bridging advanced AI capabilities with real-world cybersecurity challenges across IT, cloud, OT, and hybrid environments.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
Key Responsibilities:
- Design, develop, and deploy Generative AI–powered cybersecurity solutions.
- Integrate AI models with cybersecurity data sources such as SIEM, SOAR, EDR, NDR, CSPM, CI/CD, and threat intelligence platforms.
- Architect secure AI pipelines including prompt engineering and evaluation for cyber use cases.
- Develop deployment patterns for AI in cloud and hybrid environments in compliance with security, privacy, and regulatory requirements.
- Produce high-quality technical documentation and executive-level outputs translating AI-driven insights into actionable cyber decisions.
- Manage multiple engagements while ensuring delivery quality, ethical AI use, and alignment with client objectives.
- Stay current with emerging threats in AI security, GenAI misuse, and evolving defensive and offensive AI techniques.
Skills and Attributes for Success:
- Strong ability to bridge AI engineering and cybersecurity engineering.
- Excellent communication and collaboration skills across technical and business teams.
- Proficiency in Python and modern AI frameworks such as LangChain and Haystack.
- Strong understanding of AI risk, ethics, and governance in regulated environments.
- Hands-on experience in Deep Learning, Natural Language Processing (NLP), and Generative AI.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Data Science, AI, or related fields.
- 2–6 years of experience in cybersecurity engineering, security consulting, AI/ML engineering, or a strong hybrid profile.
- Ability and willingness to travel as required.
Language Requirements: Not specified.
What We Offer:
- Competitive compensation package based on performance.
- Continuous learning opportunities.
- Flexible tools to make a meaningful impact.
- Transformative leadership insights and coaching.
- A diverse and inclusive culture.
If you meet the criteria above, please contact us as soon as possible.
