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About the role

You would design, build, and deploy advanced enterprise AI solutions, identify reusable primitives for other machine learning teams, and shape the roadmap with Product and UX partners.

Key signals

You would build AI tools used by teams across Google, not isolated demos. The role offers real ownership, exposure to large-scale systems, and close work with Product and UX on reusable enterprise patterns.

About the role

You would work with Visa's Global Data Science group, using large payments datasets to build predictive models, shape client recommendations, and turn analyses into reusable data products across banking, merchant, digital product, and marketing problems.

Key signals

Here, Python and SQL are tied to real decisions for banks and merchants. It is a good place to build commercial judgment, work with stakeholders, and learn how analytics moves from a model into a product.

About the role

You would own the platform's technical strategy and build the backend services, data pipelines, agent runtimes, and orchestration layers that support AI products across the company.

Key signals

You would help build the platform behind Cloudflare's production AI products, from data pipelines to agent runtimes. It is a hands-on way to deepen your LLMOps and distributed-systems skills while shaping technical direction.