Description
Architect Agentic AI Solutions: Design modular systems that integrate LLMs and support multi-step reasoning, retrieval-augmented generation, and tool use.
- AI Model Integration: Select and embed suitable models (e.g., GPT-5, custom LLMs) into scalable platforms.
- Agent Development: Build agents capable of research, summarization, and action execution.
- Infrastructure & Scalability: Use Docker/Kubernetes for containerization and ensure robust monitoring and security.
- Responsible AI Practices: Implement guardrails like content filters, logging, and data protection compliance.
- Customer Collaboration: Translate business needs into technical AI solutions and advise on use cases.
- Continuous Optimization: Analyze agent errors, refine prompts, and improve model performance.
Skill/Experience/Qualification
Oversee cloud platforms (Azure, AWS) and ensure cost-effective, secure, and compliant operations.
Collaborate with GSO to enforce infrastructure security, identity management, and data protection.
Ensure compliance with regulatory standards (UAE CB | SIA | SAMA)
Champion infrastructure-as-code, CI/CD pipelines, and automation of provisioning and monitoring.
Data Pipeline connectivity & expertise in building optimized, platform-agnostic data pipelines and federated data marts across enterprise. Being able to move data across the sources identified either in a POC or for Production.
