Role Overview :

We are looking for a GCP Technical Architect to join our core leadership team someone who thrives in the zero-to-one phase of a startup.

This is not a role for maintaining legacy systems.

This is for a builder, dreamer, and technologist who wants to architect, productize, and scale AI-first solutions on Google Cloud for global enterprises.

The Mission :

As a GCP Technical Architect, you will lead the end-to-end architecture and productization of our GCP-based AI solutions.

Your mission is to transform complex AI capabilities into scalable, secure, and ROI-driven products for customers worldwide.

Key Responsibilities :

- Architect and design cloud-native AI platforms on Google Cloud.

- Lead productization of AI/ML solutions using Vertex AI and GCP data services.

- Define scalable, resilient, and secure cloud architectures.

- Collaborate closely with product, data science, and engineering teams.

- Drive best practices around data scaling, MLOps, and deployment.

- Mentor and build high-performing engineering teams.

- Influence technology roadmap and contribute to strategic decision-making.

- Work closely with leadership to align technology with business outcomes.

Required Skills & Experience :

- Deep expertise in Google Cloud Platform (GCP).

- Strong hands-on experience with Vertex AI.

- Expertise in data services, scalability, and cloud architecture.

- Proven experience in AI-first or product-driven startups.

- Strong understanding of cloud-native design patterns and MLOps.

- Ability to translate AI capabilities into real-world business value.

- Excellent communication and leadership skills.

Leadership & Mindset :

- A natural leader who builds and mentors teams.

- Comfortable with ambiguity, speed, and rapid iteration.

- Strong product mindset-you think beyond code.

- Ownership-driven and proactive.

Industry Focus :

- Passion for the Manufacturing domain.

- Strong interest in driving AI-led transformation in industrial and manufacturing ecosystems.