Senior Consultant Manager Cyber Operate Ai/Ml Engineer Cyber AutomationDeloitte & Touche (M.E.) · Saudi Arabia

Senior Consultant Manager Cyber Operate Ai/Ml Engineer Cyber Automation

🗓️ Posted 2026-10-09 Saudi Arabia Full-time Hybrid ICT
💰 Salary Not shared 📊 Market SAR 22,000–SAR 38,000/mo

About the Company

About Deloitte When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, Best Consulting Firm, and the Middle East Training & Development Excellence Award. Our Purpose Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most-for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges, and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations, and supporting our communities. Our shared values guide the way we behave to make a positive, enduring impact: During your tenure as a Senior Consultant / Manager, you will demonstrate and develop your capabilities in the following areas Find and prioritise opportunities Work with domain leads to map manual, repetitive, and high-volume tasks across strategy, technical assessments, risk, compliance, TPRM, governance, and performance management Build a prioritised backlog of AI and automation use cases, with expected time savings, risk, and effort for each Track AI advancements and good practice, and

Requirements

  • ● Total years of experience: 3-7 total professional years.
  • ● Bachelor's or Master's in computer science, data science, AI, or a related field.
  • ● Strong Python skills, with experience shipping ML or LLM-based solutions into real use, not only prototypes.
  • ● Data engineering skills: SQL, pandas, and building data pipelines.
  • ● Understanding of secure and responsible AI practices.
  • ● Cybersecurity, GRC, or risk domain experience.
  • ● MLOps tooling (MLflow, Docker, CI/CD).
  • ● Knowledge of Saudi AI and data regulations (SDAIA AI Ethics Principles, PDPL).
  • ● Arabic language is a plus.
  • ● At least one preferred certification: Microsoft Azure AI Engineer (AI-102), AWS Certified Machine Learning (Specialty or Engineer), Google Professional Machine Learning Engineer. Also valued: ISO/IEC 42001 Lead Implementer, IAPP AIGP.
  • ● Familiarity with NIST AI RMF 1.0, ISO/IEC 42001, SDAIA AI Ethics Principles, OWASP Top 10 for LLM Applications, PDPL, and NCA ECC-2:2024.