AI-era careers

Review how a model is used and who it can harm before it ships: governance, fairness, privacy, and risk notes.

Decide where a model belongs in a product and what “good” means.

Build Android apps across the devices people actually own.

Build immersive apps people walk through, not only click through.

Build APIs, data stores, and the services that sit behind the screen.

Review contracts and chain systems for holes before money moves.

Write protocols and apps that run on shared ledgers.

Design cloud systems that can grow without a surprise bill or outage.

Write software, study algorithms, and ship systems that run on computers and networks.

Plan what to publish, for whom, and how to measure whether it helped.

Protect systems and data from attack, misuse, and sloppy access.

Watch for attacks, triage alerts, and close the ones that matter.

Answer business questions with queries, charts, and a clear caveat.

Build pipelines so analysts and models get clean, timely data.

Turn messy data into models, dashboards, and decisions others can trust.

Automate builds, deploys, and the systems that keep software up.

Build the screens and interactions people use in a browser or app.

Ship features across the interface and the server in the same week.

Code gameplay, tools, or engines under a ship date.

Test channels until acquisition is a habit, not a hope.

Keep networks, apps, and business systems running, secure, and usable for teams.

Build Apple-platform apps and keep them passing review.

Train, evaluate, and ship models that have to work outside a notebook.

Ship apps for phones and tablets that have to work on a train.