Being a link between technical roles (i.e. AI engineers, automation engineers, data scientists), business stakeholders and the architecture community;
Translate business goals into AI-powered solutions, ensuring technical feasibility through collaboration with squad leads, data scientists, AI engineers, and full stack engineers;
Prototype and deliver POCs quickly by leveraging cloud-based AI/ML services and third-party LLM endpoints;
Design agent and multi-agents solutions;
Design the integration of the new AI solutions into our current enterprise application landscape;
Create comparative analysis and technical recommendations across multiple AI solutions (agents orchestrators, open LLMs, computer vision solutions);
Define technical standards, frameworks, and best practices for AI and ML systems;
Advising business stakeholders on technical vision and strategy;
You are inspiring and coaching the development teams to use the power of Google Cloud AI services/products;
Being constantly on the lookout for new inspiration to improve the architecture in and beyond your area of responsibility.
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