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Architect Agentic AI Solutions
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Job Description 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.
