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.