Description :

Architect and design scalable, efficient AI systems and reference architectures for rapid iteration.

- Lead the Agile AI build path from DemoBytes ? POC ? MVP ? Demoable ? Production, ensuring clear stage gates and documentation.

- Drive a fast release cadence : monthly demo drops and production releases every two months.

Responsibilities :

- Architect and design scalable, efficient AI systems and reference architectures for rapid iteration.

- Lead the Agile AI build path from DemoBytes ? POC ? MVP ? Demoable ? Production, ensuring clear stage gates and documentation.

- Drive a fast release cadence : monthly demo drops and production releases every two months.

- Integrate AI services and LLMs into existing platforms, data pipelines, and APIs with reliability and security in mind.

- Establish best practices for model evaluation, testing, observability, and CI/CD in MLOps.

- Mentor engineers on modern AI stacks, code quality, and experiment tracking.

- Champion ethical AI, privacy-by-design, and compliance in data handling and deployments.

- Track the AI landscape and propose pragmatic adoption of new models, tools, and methodologies