As an AI Architect, you will lead the end-to-end solution architecture for multiple high-profile Generative AI projects, managing the entire development lifecycle and ensuring operational stability and compliance.
Requirements
- Architectural Expertise: Proven experience designing and overseeing end-to-end AI/ML solutions specifically on Google Cloud, with a focus on Vertex AI and Model Garden.
- Operational Rigor: A strong background in MLOps and serverless-first engineering, with the ability to govern development standards and ensure operational stability.
- Client Centricity: Excellent communication skills with experience leading discovery workshops and presenting technical roadmaps to non-technical executive audiences.
- Financial Acumen: Experience managing project scopes and operational budgets, specifically regarding cloud consumption and resource optimization.
- Certified Excellence: You hold (or are ready to achieve) the following certifications: Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Cloud Architect, Google Cloud Professional Cloud Security Engineer
Benefits
- paid parental leave
- initiatives focused on your well-being
- discounted health insurance
- discounts on various products and services
- regular recognition and rewards for high performance
- career development through Capability Fingerprint, industry and partner training programs, special interest groups, and an AI-driven learning platform