Platform Architect

Technical Expertise: Deep knowledge of AI, particularly LLMs, and their integration challenges. Experience with agent-based modelling and an understanding of its practical applications. Proficiency in low-code/no-code platforms and their capabilities. Knowledge of system assurance, QA processes, and testing methodologies. Familiarity with AI-driven response systems and chatbot frameworks. System Architecture Experience: Proven track record in architecting and overseeing the deployment of complex, multi-component platforms. Skills in ensuring seamless integrations between disparate system components. Ability to design scalable and resilient architectures that can handle high workloads and potential system failures. Strategic Vision: Capability to align technical architecture decisions with broader business goals and objectives. Foresight to anticipate technological advancements and adapt the architecture accordingly. Data Management & Security: Strong foundation in data management, storage, and retrieval strategies. Knowledge of cybersecurity best practices and data privacy regulations to ensure the platform's integrity and compliance. UX/UI Sensibility: While not necessarily a designer, the architect should understand the importance of user experience, especially in AI-driven response systems.

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