Careers

We are more than an organization that provides FDE.
We envision agent use cases, design and validate architectures, implement deeply within real operational environments, and continuously redesign our systems.

By moving between research and real-world deployment, we are defining a new standard for advanced AI implementation in Japanese enterprises.

We build roadmaps from the voice of the customer.
We balance technical rigor with on-the-ground constraints. We iterate constantly between the ideal and the real
There is no single right answer.

We do more than build models, and more than ship products.
We take responsibility all the way to the point where AI becomes embedded in real organizational decision-making.

Our aim is to build a one-of-a-kind engineering organization that harmonizes technology with human judgment and bridges innovation with operational reality.

What gives Crystal intelligence its strength is not only the sophistication of the technology itself, but also its ability to respond to unprecedented change.

Models evolve. Use cases expand. Evaluation metrics shift.
The optimal answer today may no longer hold tomorrow.

In such a world, we do not try to eliminate uncertainty. We move forward by embracing it and restructuring.
This is not simply feature development.
It is an effort to redefine the very design philosophy of enterprise AI in Japan.

Engineers at SB OAI Japan are not simply people who build features.
They define agent use cases, identify the limitations of models, and move design forward even when information is incomplete.

Specifications are not simply handed to us. They are created through deep understanding.
Reading documentation alone is not enough. Only by testing systems ourselves and exploring what is possible can we uncover the core of the problem.

In other words, the depth and clarity with which you see the world defines the limitations and possibilities of the systems you build.

We stand at the frontier of AI technology, exploring its evolution through implementation and real-world operation.
Rather than observing trends from the outside, we are expected to engage directly with the latest developments, validate them collaboratively, and put them into practice ourselves.

Our goal is not simply to introduce AI, but to entirely redesign how the work is done.
Meeting requirements is only the starting point.
We seek to understand underlying structures, distill them into abstract frameworks, and optimize them into sustainable systems.

We foster a culture that welcomes discussion and embraces different perspectives.
People are evaluated by the quality of their thinking. That is what psychological safety means to us.

No one is left to work in isolation.
We value growing together with people who are curious about unknown possibilities, enjoy finding patterns within complexity, and are driven to think deeply.

If the goal is simply to experiment with frontier models, location does not matter.
But if the goal is to rigorously refine the design principles of enterprise AI, there is no better environment than Japan.

In Japan, quality is never compromised. Accountability must be demonstrated in practice, not just process.
Business processes are complex, rooted in long-standing practices, deliberate decision-making, and broad organizational impact.

Systems that work in Japan cannot rely on speed or novelty alone.
They are tested for durability, repeatability, and structural strength.

Large-scale agent deployment is already advancing in real operational environments, while the underlying assumptions behind enterprise AI itself continue to evolve. This is not simply a matter of OpenAI expanding into Japan.

Under the strategic partnership between SoftBank and OpenAI, this is an innovative, long-term effort to evolve the very structure of enterprise AI.