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If I were a college career counselor or in career services, Iโd quickly be figuring out how to get students to understand these forward deployed engineer jobs exist and how to get them.
The requirements are a mix of deep technical skills, often CS majors or minors. You must be great at understanding problem solving, how to have systems thinking, and have a strong business acumen. The kicker, of course, is to make sure youโre very deep in AI agents; you need to have fluency in coding agents, MCP, CLIs, Skills, and so on.
Hundreds (thousands?) of technology companies will be hiring for these roles, same with any consulting and IT services company, and the vast major of mid-size and large enterprises will be hiring for this talent internally as well.
One great example of opportunity for highly technical talent out there.
As agents expand to bring automation to most areas of knowledge work like legal, finance, or life sciences, they need a core set of tools like the ability to work with computers, execute code, and the ability to store off work and manage data. File systems are becoming a core primitive that agents have to power this.
Agents are insanely good at working with file systems as they offer the perfect environment for manipulation of data and managing context for what agents need to work on.
This is just the start, though. File systems also offer a natural container for agents to have a secure space where they can collaborate with human users. As agent-to-human and agent-to-agent collaboration increases, you will need to have effective data access controls, security, and governance.
At Box, weโre focused on bringing a full cloud file system to agents wherever theyโre doing work from. And by having the file system in the cloud, this also means you can have agents from different platforms working on the same information. Weโre just at the very start of what this trend looks like, but itโs going to get wild.