AI roles directory
20 roles AI is reshaping — the ones you retrain into, and the ones you already have. For each: what the job actually involves, the skills it demands, and the curriculum that trains for it.
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Roles you train into
Technical roles reached by writing code and shipping real projects.
AI Engineer
Builds products on top of large language models — retrieval pipelines, assistants and AI features inside existing software. Less model training than model application: the hard part is making a probabilistic system behave reliably in production.
What this role doesMachine Learning Engineer
Trains, evaluates and deploys machine-learning models, then keeps them working as data shifts underneath them. Sits between data science and software engineering, and is accountable for the model in production.
What this role doesData Scientist
Turns raw data into decisions — designing the analysis, running it honestly, and telling the organisation what it does and does not support. The output is a decision someone can act on, not a chart.
What this role doesSecurity Engineer
Finds and closes the ways a system can be broken into, before someone else finds them. Covers application, cloud and identity security, plus the governance work that proves controls exist.
What this role doesFull Stack Engineer
Builds and ships complete web products — interface, server, database and deployment. The generalist role most AI products are actually built by.
What this role doesComputer Vision Engineer
Builds systems that interpret images and video — detection, segmentation, tracking and OCR — and makes them run fast enough to be useful on real footage.
What this role doesLLM Agent Architect
Designs the architecture of systems where language models take actions — tool use, memory, planning and the protocols that let agents talk to other software safely.
What this role doesAgentic AI Engineer
Builds and operates autonomous agents at production scale — multi-agent orchestration, long-running workflows, and the monitoring that keeps them from quietly going wrong.
What this role doesAI Product Manager
Decides what AI product gets built and why. Owns the problem, the success measures and the trade-offs — including when the honest answer is that AI is the wrong tool.
What this role doesForward Deployed Engineer
Works from inside a customer to turn a product that works into a deployment that works: finds the real problem, gets the data out and clean, builds the integration and the AI workflow on their systems, proves it with evals on their cases, and hands over a system their team can run.
What this role doesRoles you already have
Existing jobs, done better with AI. No code involved.
Marketer
Uses AI assistants as a copywriter, strategist and analyst — producing on-brand campaigns, emails, ads and reporting at a volume that was previously impossible, without outsourcing judgment.
What this role doesFinance Professional
Applies AI to analysis, month-end, forecasting and board reporting — with the verification discipline finance requires, because an unchecked number is worse than no number.
What this role doesFounder
Runs every function with no team to delegate to. Uses AI as the first hire they can afford — validating ideas, writing the pitch, selling, and running operations.
What this role doesTeacher
Hands the preparation mountain to AI — lesson plans, differentiation, resources, feedback and reports — while pedagogy, accuracy and duty of care stay with the teacher.
What this role doesProject Manager
Uses AI across the delivery cycle — requirements, planning, risk and stakeholder reporting — and builds no-code assistants that absorb the recurring administrative load.
What this role doesSales Professional
Pushes the admin half of selling onto AI — research, outreach drafts, call prep, follow-ups and proposals — to spend more hours actually in front of buyers.
What this role doesOperations Manager
Applies AI to forecasting, procurement, logistics exceptions and the institutional knowledge that usually lives in one person's head.
What this role doesCreator
Uses AI as a writers' room — ideas, scripts, show notes and repurposing one idea into ten assets — while still sounding like themselves rather than like a model.
What this role doesStudent
Uses AI as a personal tutor rather than a shortcut — active reading, guided problem-solving and study systems that build understanding instead of replacing it.
What this role doesGTM Engineer
Builds the machine the sales and marketing teams work inside, without code: the ideal customer as data, lists that rebuild themselves, enrichment with a confidence on every cell, a scoring model with reasons, outreach with a check before a person sends, routing in minutes, and a dashboard with one number per stage.
What this role doesNot sure which one fits you?
Five questions, about three minutes, a free student account. Get an honest starting point.