Accenture Middle East Careers
Accenture Careers 2026 – AI Security Consultant Jobs in Riyadh, Saudi Arabia
Work at the intersection of cybersecurity, artificial intelligence, machine learning and responsible innovation
Accenture Middle East is seeking an AI Security Consultant in Riyadh, Saudi Arabia. The role sits within Accenture’s Cybersecurity practice and focuses on helping clients identify, assess and reduce security risks across the full lifecycle of artificial intelligence and machine-learning systems.
This opportunity is suitable for professionals searching for AI security jobs in Riyadh, cybersecurity consulting roles in Saudi Arabia, generative AI security careers, AI governance jobs, LLM security positions or machine-learning risk assessment opportunities.
The selected consultant will support organisations as they adopt AI, machine learning and generative AI technologies. Responsibilities include conducting AI security assessments, producing risk registers, mapping controls, performing gap assessments, supporting threat modeling, evaluating AI security tools and converting complex technical findings into practical recommendations for clients.
Candidates should have a strong cybersecurity foundation and an understanding of how AI and machine-learning systems are designed, trained, deployed and operated. Familiarity with threats such as prompt injection, data leakage, model manipulation, unsafe outputs and malicious use of large language models will be valuable.
⚡ Quick Job Facts
Accenture Middle East
AI Security Consultant
Riyadh, Saudi Arabia
Cybersecurity
AI & ML Security
Consulting
Not Disclosed
Add Official URL
📋 Table of Contents
- Job Overview
- About Accenture Middle East
- Role Summary
- Key Responsibilities
- AI Security Assessments
- AI Threat Modeling
- AI and LLM Security Risks
- AI Security Tools
- Client Deliverables
- Required Experience
- Skills Required
- Preferred Experience
- Relevant Certifications
- Salary Information
- Career Growth
- How to Apply
- Resume Tips
- Interview Tips
- Frequently Asked Questions
Accenture AI Security Consultant Job Overview
| Category | Details |
|---|---|
| Company | Accenture Middle East |
| Job Title | AI Security Consultant |
| Location | Riyadh, Saudi Arabia |
| Practice | Cybersecurity |
| Specialization | Artificial Intelligence and Machine-Learning Security |
| Role Type | Cybersecurity Consulting |
| Core Focus | AI risk assessments, threat modeling, controls, governance, secure AI tools and client advisory |
| Salary | Not Disclosed |
| Official Application | Add Official Accenture Careers Link |
About Accenture Middle East
Accenture is a global professional-services company that helps organisations improve business performance through strategy, consulting, technology, operations, data, cloud and cybersecurity capabilities.
Accenture’s cybersecurity practice supports clients with security strategy, risk management, cloud security, identity, application security, security operations, incident response and emerging-technology security.
Within the Middle East, demand for secure digital transformation continues to grow as organisations adopt cloud platforms, advanced analytics, artificial intelligence, automation and generative AI. Cybersecurity consultants help ensure that these technologies are adopted responsibly and with appropriate governance, monitoring and technical controls.
AI Security Consultant Role Summary
The AI Security Consultant will help Accenture clients secure artificial-intelligence systems and the data environments that support them. The role covers the full AI lifecycle, from data preparation and model development to deployment, monitoring, use and retirement.
The consultant will identify security risks, assess existing safeguards, map risks to controls and recommend practical remediation actions. The role requires the ability to combine cybersecurity knowledge with an understanding of how AI and machine-learning systems operate.
The selected candidate will also contribute to workshops, client discussions, proposals and project deliverables. Strong communication is essential because complex technical findings must be translated into clear business risks, priorities and action plans.
Key Responsibilities
- Deliver AI security assessments using Accenture frameworks and client requirements.
- Evaluate security risks across the AI and machine-learning lifecycle.
- Produce clear and structured client-facing deliverables.
- Develop AI risk registers and control mappings.
- Prepare security-gap assessments.
- Maintain requirements-traceability documentation.
- Support AI threat-modeling activities.
- Translate technical risks into clear mitigation recommendations.
- Research emerging AI attack techniques and defensive strategies.
- Evaluate AI security tools and platforms.
- Compare vendor capabilities and security solutions.
- Contribute to client discussions and security workshops.
- Support cybersecurity proposals and project planning.
- Collaborate with multidisciplinary delivery teams.
- Follow Accenture cybersecurity methodologies and quality standards.
AI Security Assessments
AI security assessments help organisations understand where security risks exist and whether existing controls are appropriate. The consultant may review data sources, model-development processes, deployment architecture, APIs, access controls, monitoring, third-party services and user interaction.
- Define the scope of the AI security assessment.
- Identify business-critical AI use cases.
- Review AI architecture and data flows.
- Assess model-development and deployment practices.
- Evaluate access control and privileged access.
- Review data privacy and sensitive-data exposure risks.
- Assess logging, monitoring and incident-response readiness.
- Identify third-party and supply-chain risks.
- Map risks to relevant security controls.
- Prioritise remediation according to impact and likelihood.
AI Threat Modeling
Threat modeling is used to identify how an attacker, malicious user or compromised component could affect an AI system. The consultant will support structured threat analysis and help define practical security controls.
- Identify important AI assets and trust boundaries.
- Document users, systems, models, APIs and data flows.
- Identify potential threat actors and attack paths.
- Assess model, data, infrastructure and application risks.
- Evaluate possible misuse of AI capabilities.
- Identify controls that reduce attack likelihood or impact.
- Translate threat scenarios into security requirements.
- Document residual risks for client decision-makers.
AI, Machine-Learning and LLM Security Risks
AI systems introduce risks that may not exist in traditional applications. Candidates should understand common attack techniques and how they may affect confidentiality, integrity, availability, safety and business outcomes.
Malicious instructions designed to alter model behaviour or bypass intended restrictions.
Exposure of confidential, personal or proprietary information through model inputs or outputs.
Attempts to change, poison or influence model behaviour.
Malicious or low-quality data introduced to affect model performance.
Weak authentication, access control, rate limiting or input validation.
Harmful, inaccurate or policy-violating responses that may create business risk.
Unauthorised extraction, replication or misuse of proprietary models.
AI systems performing actions beyond appropriate authority or oversight.
AI Security Tools and Platforms
The role includes evaluating tools that help organisations identify, monitor and reduce AI security risks. Candidates should be comfortable comparing capabilities, limitations, integration requirements and operational value.
- AI Security Posture Management: Platforms that identify AI assets, risks, configurations and control gaps.
- Model Scanning: Tools used to inspect models, dependencies, files and known vulnerabilities.
- LLM Gateways: Security layers used to monitor and control interactions with large language models.
- Guardrails: Controls designed to restrict unsafe inputs, outputs and model behaviour.
- Prompt Security: Detection and prevention of prompt injection and malicious instructions.
- Data-Loss Prevention: Controls that reduce the risk of sensitive information entering or leaving AI systems.
- Model Monitoring: Tools that detect drift, anomalous activity and performance changes.
- AI Red-Teaming Tools: Solutions used to test AI systems against adversarial behaviour and misuse.
Client Deliverables and Documentation
High-quality consulting deliverables are a major part of the position. Documents should be accurate, easy to understand and directly linked to client risks, controls and decisions.
- AI security risk registers.
- Risk ratings and prioritisation tables.
- Security-control mappings.
- Gap-assessment reports.
- Requirements-traceability matrices.
- Threat models and attack-path diagrams.
- Security recommendations and remediation roadmaps.
- Vendor-comparison assessments.
- Executive presentations.
- Workshop materials and client briefing documents.
What You Will Bring
- Strong foundation in cybersecurity.
- Experience in cyber risk, governance or security controls.
- Experience in a technical security discipline is valuable.
- Understanding of AI and machine-learning systems.
- Knowledge of how AI systems are developed and deployed.
- Understanding of key AI security risks.
- Familiarity with model manipulation and data-leakage risks.
- Understanding of prompt-injection threats.
- Ability to transform complex findings into structured outputs.
- Strong analytical and problem-solving ability.
- Professional client and stakeholder communication.
- Interest in emerging AI security technologies.
- Proactive approach to learning new tools and capabilities.
Skills Required
Preferred Experience
- Experience implementing cybersecurity tools.
- Experience integrating security platforms or solutions.
- Exposure to cybersecurity advisory work.
- Experience developing cybersecurity strategies.
- Experience creating security roadmaps.
- Participation in AI or machine-learning initiatives.
- Experience with generative AI or large language models.
- Experience supporting consulting workshops or client proposals.
- Relevant cybersecurity certification.
Relevant Certifications
The job description does not require a specific certification, but relevant credentials may strengthen an application.
Foundational cybersecurity, controls and risk knowledge.
Broad information-security management and architecture knowledge.
Cloud-security architecture, controls and governance.
Information-security governance and risk management.
Information-security management and control assessment.
Responsible AI, AI risk management and emerging AI standards.
Salary and Benefits Information
The salary for the Accenture AI Security Consultant position in Riyadh is not disclosed in the supplied job description.
Candidates should confirm the monthly salary, performance bonus, medical coverage, annual leave, professional training, certification support, relocation assistance and other benefits directly with Accenture during the recruitment process.
Work Environment
- Client-focused cybersecurity consulting environment.
- Work involving AI, machine learning and generative AI.
- Collaboration with multidisciplinary delivery teams.
- Participation in workshops and client discussions.
- Preparation of formal reports and presentations.
- Research into emerging threats and defensive tools.
- Potential work across multiple industries and AI use cases.
- Continuous learning due to the fast-changing AI security landscape.
Career Growth Opportunities
AI security is a growing cybersecurity specialization. This role can help professionals build experience in consulting, AI governance, security strategy, technical risk assessment, model security and responsible AI.
Possible future career paths may include:
- Senior AI Security Consultant
- AI Security Manager
- Cybersecurity Advisory Manager
- Responsible AI Consultant
- AI Governance Lead
- Generative AI Security Architect
- Cloud and AI Security Architect
- Cybersecurity Strategy Manager
- AI Risk and Compliance Lead
- Cybersecurity Practice Lead
Why Consider This Accenture Opportunity?
- Work within a global cybersecurity consulting practice.
- Develop expertise in AI and generative AI security.
- Support major clients with emerging technology risks.
- Gain experience in structured consulting methodologies.
- Work on AI risk, governance and control assessments.
- Evaluate modern AI security platforms.
- Participate in workshops and client proposals.
- Build a career in a high-demand cybersecurity specialization.
- Develop strong client-facing communication skills.
Step-by-Step How to Apply
- Review the full responsibilities and required skills.
- Update your CV with cybersecurity risk, governance, controls and technical-security experience.
- Add AI, machine-learning or generative AI projects.
- Highlight threat modeling and security-assessment experience.
- Mention risk registers, control mappings and gap assessments you have prepared.
- Add AI security tools, platforms or frameworks you understand.
- Include relevant cybersecurity certifications.
- Replace the placeholder below with the official Accenture Careers link.
- Open the official application page.
- Create or sign in to your Accenture candidate profile.
- Complete all required application fields.
- Upload your updated CV.
- Review the application before submission.
- Monitor your email for recruitment updates.
Apply for Accenture AI Security Consultant
Location: Riyadh, Saudi Arabia
Application link: Replace the placeholder with the official Accenture vacancy URL.
🚀 Apply on Accenture CareersDocuments to Prepare
- Updated professional CV.
- Relevant degree details.
- Cybersecurity certifications.
- Employment experience records.
- Examples of cybersecurity assessments or consulting work where confidentiality allows.
- AI, machine-learning or generative AI project details.
- Professional references if requested.
- Identification and residency documents only through the verified recruitment process.
Resume Tips for AI Security Consultant Jobs
- Use “AI Security Consultant” as your professional headline.
- Include your cybersecurity specialization.
- Highlight AI, ML and generative AI knowledge.
- Mention threat-modeling experience.
- Add cybersecurity risk-assessment projects.
- List risk registers and control mappings you have prepared.
- Include gap-assessment and governance experience.
- Mention prompt injection, data leakage and model-security knowledge.
- List AI security tools or platforms you have evaluated.
- Add client workshop and presentation experience.
- Show measurable outcomes where possible.
- Keep confidential client information anonymous.
- Use relevant keywords naturally.
Example Professional Summary
Example Achievement Statements
- Supported AI security assessments covering data, models, APIs and cloud environments.
- Developed risk registers and control mappings for emerging-technology projects.
- Performed threat modeling for generative AI use cases.
- Evaluated LLM gateways and guardrail solutions against client requirements.
- Translated technical AI risks into prioritised remediation actions.
- Contributed to cybersecurity workshops, proposals and executive presentations.
AI Security Consultant Interview Tips
- Review the full AI and machine-learning lifecycle.
- Understand common LLM security risks.
- Prepare to explain prompt injection clearly.
- Review data leakage and model-manipulation scenarios.
- Understand how threat modeling applies to AI systems.
- Prepare examples of cybersecurity risk assessments.
- Know how to create a risk register.
- Review security-control mapping techniques.
- Research AI gateways, guardrails and model-scanning tools.
- Practice explaining technical risks to business stakeholders.
- Use structured consulting-style answers.
- Show curiosity about emerging AI security threats.
Possible Interview Questions
- What are the main security risks in a generative AI application?
- How would you assess an organisation’s AI security posture?
- What is prompt injection and how can it be reduced?
- How would you protect sensitive data used by an LLM?
- What controls would you recommend for an AI model API?
- How do AI guardrails work?
- What is an LLM gateway?
- How would you perform threat modeling for an AI use case?
- How do you prioritise AI security risks?
- How would you communicate AI risk to a senior executive?
Application Safety
- Apply through the verified Accenture Careers website.
- Do not pay money for an interview or job offer.
- Verify recruiter email domains.
- Do not share passwords or verification codes.
- Do not submit sensitive documents through unverified channels.
- Review the written employment offer before accepting.
Frequently Asked Questions
The job title is AI Security Consultant.
Accenture Middle East is hiring for this role.
The position is based in Riyadh, Saudi Arabia.
The role is part of Accenture’s Cybersecurity practice.
The consultant assesses AI risks, supports threat modeling, maps controls, evaluates security tools and provides clients with practical recommendations.
The role references risks such as model manipulation, data leakage and prompt injection.
AI security posture management tools, model scanners, LLM gateways and guardrail platforms may be reviewed.
Yes. Candidates should have a strong cybersecurity foundation in risk, governance, controls or technical-security domains.
Yes. Applicants should understand how AI and ML systems are developed, deployed and secured.
No specific certification is listed as mandatory, but relevant cybersecurity credentials are an advantage.
No. Salary information is not included in the supplied job description.
Candidates should apply through the official Accenture Careers vacancy page. Add the correct official URL before publishing this article.
Related Job Categories
Final Thoughts
The Accenture AI Security Consultant role in Riyadh is a strong opportunity for cybersecurity professionals who want to specialise in artificial intelligence, machine learning and generative AI security.
Candidates with experience in cybersecurity risk, governance, security controls, threat modeling, advisory work or technical-security implementation should consider this role. Knowledge of AI-specific risks, secure AI platforms, LLM gateways and guardrails can further strengthen an application.
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