AI Career Roles
Working in AI is not one job but several, each with different day-to-day work and a different way in. These are the four main paths. Explore each to see what it involves, who it fits, and which Claude certification maps to it.
Not sure which fits you yet? That is normal. If you come from a business, writing, or operations background, Consultant and Product Manager are natural on-ramps. If you enjoy building, look harder at Developer. Pick the one closest to who you want to become and open its page.
AI Solutions Architect
Designs how large AI systems fit together: what connects to what, the tradeoffs, and how it stays reliable at scale. Judgment over raw code.
AI / LLM Developer
Builds the actual applications: wiring models to tools and data, creating agents, shipping working software. The fastest-growing title in the field.
AI Consultant
Helps organizations find where AI genuinely helps and adopt it well, without necessarily building it. Translates business needs into what the tech can do.
AI Product Manager
Decides what an AI product should do, for whom, and why, then steers it from idea to launch. Sits between users, business, and the build team.