AI Agent Manager overseeing design, deployment, and adoption of AI agents in operational workflows. Driving efficiency, collaboration, and innovation through automation across teams in Dubai.
Responsibilities
Use Case Discovery and Prioritisation: Identify and evaluate high value opportunities to deploy AI agents across operations.
Agent Design, Build, and Deployment: Design, configure, and deploy AI agents and automated workflows using LLMs, APIs, and integration tools.
Operational Efficiency Improvement: Reduce manual effort in repetitive operational workflows by embedding AI agents into daily processes.
Adoption and Change Management: Drive bottom up adoption by working directly with operations teams and individual contributors.
Data Quality and Integration: Ensure AI agents operate on clean, reliable data by working with data teams and system owners.
Performance Measurement and Reporting: Define and track KPIs for each deployed agent including adoption rates, processing accuracy, throughput gains, and ROI.
Cross Functional Collaboration: Partner with Product, Engineering, and IT to align agent deployments with platform capabilities.
Experimentation and Innovation: Stay current with emerging AI capabilities, LLM developments, and automation tools relevant to operations.
Documentation and Knowledge Management: Maintain clear documentation for all deployed agents and build a reusable library of agent patterns and templates.
Vendor and Tool Evaluation: Evaluate and recommend AI tools, platforms, and vendors relevant to operational use cases.
Requirements
Bachelor degree in Operations Management, Engineering, Computer Science, Data Science, or related discipline.
Certifications in process improvement, AI, or automation platforms are a plus.
3 to 5 years experience in operations, process improvement, or operational technology roles.
Demonstrated experience deploying AI tools, LLM based agents, or workflow automation in an operational environment.
Experience with document processing, data extraction, workflow orchestration, and integration with operational systems.
Strong understanding of LLMs, prompt engineering, and AI agent frameworks.
Practical experience with automation platforms, document processing tools, and API integrations.
Data analysis and KPI design skills.
Change management ability to drive adoption bottom up without formal authority.
Proficiency in Anthropic’s Claude platform including Claude for Enterprise and Claude Teams administration, user provisioning, workspace configuration, and usage policy management.
Hands on experience with Claude Cowork mode for desktop automation, including skill creation and management (SKILL.md authoring), custom plugin development and deployment, and scheduled task configuration using cron based scheduling.
Advanced prompt engineering for Claude models including system prompts, structured output formatting, tool definitions, chain of thought techniques, and context window optimisation for enterprise scale document processing.
Benefits
Competitive Salary and Bonus: We reward your expertise and contributions.
Inclusive Onboarding Experience: Our onboarding program is designed to set you up for success right from day one.
Marcura Wellness Zone: We value your work-life balance and well-being.
Global Opportunities: Be part of an ambitious, expanding company with a local touch.
Diverse, Supportive Work Culture: We’re committed to inclusion, diversity, and a sense of belonging for all team members.
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