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.