Technical breadth is easy to acquire and surprisingly hard to explain. A resume that lists frontend, backend, cloud, data, automation, support, and product work may be accurate, yet still leave a hiring manager asking what the candidate should own. Breadth is useful evidence only after the reader can see what holds it together.
A resume upload can finish without an error and still produce the wrong application. A promotion becomes one long job, a consulting client becomes the employer, or a skill appears without the project that proves it. Autofill is a draft of your application, not proof that your resume was understood.
Forward Deployed Engineer can describe a rare hybrid: write production code, work with important customers, shape the product, and own visible outcomes. It can also describe a largely bespoke implementation job with unclear boundaries. Because employers use the title for different operating models, candidates should read past it and ask whether the role completes a full loop from ambiguous problem to adopted system to reusable product learning.
AI can help candidates produce a polished resume, cover letter, and project description quickly. That also makes it easier to polish claims that have little evidence behind them. Hiring teams still need evidence that a candidate can understand a problem, make tradeoffs, check the result, and explain the work. A well-designed work sample can supply that trust, but a vague unpaid project can waste time without measuring the job.
A skills-based resume should make your capabilities easier to verify. Too many candidates interpret that idea as permission to replace chronology with a page of claims. The document says "problem solving," "cloud architecture," or "stakeholder management," but leaves the reader hunting for the work that proves any of it.