A leading technology organisation in the UAE is seeking an experienced Responsible AI Engineer to assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical, and sustainable practices — designing and implementing technology mitigation strategies to ensure AI systems achieve ethical and responsible standards. This SME-level role requires a minimum of 5 years of experience in AI Agents & Workflow Integration, strong knowledge of AI evaluation techniques, and the leadership capability to guide cross-functional teams toward trustworthy, accountable AI deployments across the enterprise.
About This Responsible AI Engineering Opportunity
Role Level: Subject Matter Expert (SME) — responsible for team decisions, cross-team collaboration, and senior guidance on responsible AI implementation
Primary Skill: AI Agents & Workflow Integration — 5+ years of hands-on mandatory experience
Core Mission: Ensure AI systems operate within acceptable ethical, responsible, and sustainable boundaries — fostering trust and accountability in AI deployments
Leadership Scope: Lead framework development, knowledge sharing, mentorship of junior engineers, and cross-functional responsible AI initiatives
Why This Responsible AI Role Stands Out
Frontier AI Ethics Domain: Responsible and ethical AI is the fastest-growing governance priority across UAE technology organisations in 2026
SME-Level Authority: Own responsible AI frameworks, decisions, and mitigation strategies at team and cross-team levels — not a junior supporting role
End-to-End AI Lifecycle Scope: From AI system evaluation through risk identification, mitigation design, deployment governance, and continuous performance monitoring
Mentorship & Knowledge Leadership: Facilitate training on ethical AI principles and guide junior team members — building organisational AI ethics capability
Position Overview
A typical day as Responsible AI Engineer in the UAE involves evaluating artificial intelligence systems to ensure they meet established standards for responsibility, ethics, and sustainability, designing and applying mitigation strategies to address identified issues, ensuring AI technologies operate within acceptable ethical boundaries, continuously monitoring and adjusting AI systems to align with organisational and societal expectations, fostering trust and accountability in AI deployments, leading framework development for responsible AI practices, facilitating knowledge sharing and training on ethical AI principles, and mentoring junior engineers — while collaborating across multiple teams to drive responsible AI at enterprise scale.
Why This Role Matters: As Responsible AI Engineer in the UAE, you are the ethical guardian of AI systems that are increasingly shaping decisions, services, and outcomes that affect people’s lives. With AI Agents and Workflow Integration expertise and a deep understanding of what responsible, sustainable AI looks like in practice, you design the guardrails, evaluation frameworks, and mitigation strategies that ensure AI systems not just perform well technically — but behave well ethically, operate transparently, and earn the trust of the organisations and societies that depend on them.
Roles & Responsibilities
Responsible AI Framework Leadership
- Lead the development and implementation of frameworks that promote responsible AI practices across all projects — setting the ethical and governance standards for AI deployment
- Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical, and sustainable practices
- Design and implement technology mitigation strategies for AI systems to ensure ethical and responsible standards are consistently achieved
- Continuously monitor AI system performance against predefined benchmarks and thresholds — adjusting strategies as systems evolve and new risks emerge
AI Agents & Workflow Integration
- Apply deep expertise in AI Agents & Workflow Integration to design responsible, ethical agent architectures and integration patterns
- Integrate ethical considerations into AI lifecycle management — from design and training through deployment, monitoring, and decommissioning
- Evaluate AI agent systems and automated workflows for alignment with ethical standards, organisational values, and societal expectations
- Experience in designing and implementing mitigation strategies to address specific AI system risks — bias, transparency, safety, and accountability
Team Leadership, Mentoring & Knowledge Sharing
- Act as SME — collaborate with and manage the team to perform responsible AI evaluation and governance activities at high quality
- Engage with multiple teams and contribute to key decisions on responsible AI standards, risk responses, and framework improvements
- Facilitate knowledge sharing and training sessions to enhance team and organisational understanding of ethical AI principles and practices
- Support junior team members by providing guidance and mentorship to foster professional growth in the responsible AI domain
- Provide solutions to problems for the immediate team and across multiple teams — operating as a technical and ethical authority
Professional & Technical Requirements
Essential Requirements
- Minimum 5 years of experience in AI Agents & Workflow Integration — the core mandatory technical skill for this role
- 15 years of full-time formal education — minimum educational requirement
- Strong knowledge of AI system evaluation techniques focused on ethical and responsible AI standards
- Experience in designing and implementing mitigation strategies to address AI system risks
- Ability to collaborate effectively across diverse teams to drive responsible AI initiatives
- Familiarity with AI lifecycle management and integration of ethical considerations throughout all workflow stages
- Skilled in monitoring AI system performance against predefined benchmarks, thresholds, and responsible AI criteria
About This Responsible AI Engineering Opportunity — UAE
Join a leading technology organisation in the UAE as Responsible AI Engineer — an SME-level, full-time position at the forefront of one of 2026’s most consequential technology domains. As governments, enterprises, and regulators across the UAE and GCC intensify their focus on AI governance, ethics, and sustainability, experienced Responsible AI Engineers who combine deep AI Agents and Workflow Integration expertise with ethical framework design capability are among the most sought-after professionals in the regional technology market. This role offers the opportunity to shape how AI systems are evaluated, governed, and trusted — building the responsible AI infrastructure that the UAE’s most important technology deployments depend on.
Career Excellence: Lead responsible AI framework design and ethical governance in the UAE — ensuring AI systems earn the trust of organisations and society.
Who Should Apply?
- Senior AI Engineers with Ethics & Governance Focus: With 5+ years of AI Agents & Workflow Integration experience and a track record of responsible AI implementation
- AI Governance & Risk Specialists: Experienced designing ethical AI frameworks, mitigation strategies, and governance standards for enterprise AI deployments
- AI Lifecycle Management Experts: Comfortable integrating ethical considerations from AI design and training through production deployment and monitoring
- Technical SME Leaders: With cross-team collaboration experience, mentoring capability, and the authority to drive responsible AI decisions at senior level
- Sustainable & Ethical AI Practitioners: Passionate about ensuring AI systems operate with transparency, accountability, fairness, and trust — not just technical performance
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