Question 1

What new jobs has AI created?

Accepted Answer

AI has created a wave of new roles across three buckets: technical jobs such as Context Engineer, RAG Engineer, and AI Agent Developer; governance roles such as Chief AI Officer and AI Ethics & Compliance Officer; and vertical-domain roles such as Healthcare AI Integrator and GEO Specialist.

Question 2

Do these jobs require a technical background?

Accepted Answer

Not all of them. Governance and adoption roles often care more about business context, change management, and communication. Non-technical professionals can start with AI tools and prompt skills, then transition using their original domain strength.

Question 3

What is the difference between a Prompt Engineer and a Context Engineer?

Accepted Answer

A Prompt Engineer focuses on improving a single interaction with the model. A Context Engineer designs the wider system that feeds the model the right information at the right time, which usually includes retrieval, memory, and knowledge structure.

Question 4

How strong are salaries for new AI jobs?

Accepted Answer

Most new AI roles pay above traditional benchmarks. Technical roles often sit around $100K-$200K+, governance roles can reach $120K-$400K+, and niche domain roles often land between $80K-$180K depending on region and seniority.

Question 5

How should I move into one of these jobs from scratch?

Accepted Answer

Start with AI basics and core tools, then choose one direction that fits your background, and finally build projects that prove you can use AI in a real workflow. The fastest path is not learning everything at once, but picking a role and building toward it deliberately.

Question 6

Will these jobs also be replaced by AI soon?

Accepted Answer

Not in the near term. These roles exist because companies need people who can judge where AI fits, where it fails, and how to make it useful in a real business or domain context.