Role

AI Security Engineer

Owns the AI attack surface, model security, and agent guardrails.

12 chaptersAbout 4–5 months15–30 min a day13 skills2 projects
Start this path free →

Chapter 1 is free. No card needed.

Day 1 on the AI Security Engineer path.

What a AI Security Engineer does

Keeps machine-learning systems and AI agents safe from attack by finding weak spots, setting guardrails, and testing them before launch. Sits between security engineering and machine learning, so models behave the way teams expect.

  • Map the AI attack surface across models, data, prompts, and agents
  • Defend against prompt injection, where bad input hijacks a model's behavior
  • Stop model theft and extraction so the private settings a model learned stay protected
  • Catch data poisoning, where attackers slip bad examples into training data
  • Set guardrails that block jailbreaks and unsafe model outputs
  • Red-team agents by attacking them on purpose before they ship
  • Review AI features with engineers and agree on security requirements

A day in the life

  1. Review alerts and logs from AI systems, then triage anything suspicious
  2. Try fresh jailbreaks and prompt attacks against a model in a test setup
  3. Meet machine-learning engineers to harden a new agent before it ships
  4. Tune guardrails and content filters, then re-test that they hold
  5. Write up findings and brief teams on the risks you found

Tools you will use

Programming: Python, BashMachine-learning frameworks: PyTorch, TensorFlow, Hugging FaceAI red-team tools: Garak, PyRIT, promptfooGuardrail tools: NeMo Guardrails, Llama Guard, RebuffVulnerability scanning: Nessus, OpenVASSIEM and logging (security event monitoring): Splunk, Elastic StackCloud security: AWS IAM, Azure ADVersion control: Git

Your plan

Chapter by chapter.

1~2 wks

See the work of an AI security engineer

StartFree
2~2 wks

Security foundations

Skills
3~2 wks

Vulnerability scan, prioritised remediation plan, and rescan

Proof
4~2 wks

AI and ML security

Skills
51–2 wks

Meet people doing the work

People
6~2 wks

Incident response and ops

Skills
7~2 wks

Analysis and judgment

Skills
8~2 wks

Communication and collaboration

Skills
9~2 wks

Three informational interviews with working infrastructure professionals

Proof
101–2 wks

Prepare for AI security engineer interviews

Interview
111–2 wks

Choose your route into AI security engineer work

Decide
12on your timeline

Apply for AI security engineer roles

Apply

By the last chapter

This is what you can show.

Things you've made

Vulnerability scan, prioritised remediation plan, and rescan and Three informational interviews with working infrastructure professionals

Skills you can prove

13 skills, each rated on work you actually did.

People you've talked to

4 people who do the job, with a message ready for each.

Questions you can answer

18 interview questions and a mock interview, with feedback.

Credentials

4 credentials compared, so you can pick one, or decide you don't need one. None is required.

Ways in

There is more than one route.

Ways to study

  • Bachelor degree in computer science, cybersecurity, or machine learning
  • Diploma or certificate in IT security plus self-study in machine learning
  • Security bootcamp combined with online machine-learning courses and labs
  • Self-study path using AI security courses, home labs, and a portfolio

How people get their first job

  • Start as a security engineer and take on AI and model security work
  • Start in machine learning and move into securing models and agents
  • Build a home lab and publish red-team write-ups of public models
  • Enter public AI red-team contests and share your attack findings
  • Earn security fundamentals certs, then study prompt and model attacks

Life skills on this path: Networking · Job interviews · Job search

How the work is changing

What AI is doing to this role

How AI is changing this role · one of 6 tasks we track

Set guardrails on model outputs

Sped up a lot

What AI does

Llama Guard and NeMo Guardrails ship most filters out of the box.

Still yours

You tune what to block without breaking the product.

Reviewed September 2026

In the app · Premium

The rest is in the app

  • How AI affects the other 5 tasks
  • Whether this job is growing or shrinking
  • How hard the first job is to get
  • Similar roles that are easier to get into
  • Updated every month, with sources
See it in the app →

How we rate a job →

Already working

Already a AI Security Engineer?

Plan your move to Senior AI Security Engineer: 10 chapters that end with a strong case for your next review.

Grow in the role →

Other roles in IT & Cloud Infrastructure

Agentic SOC AnalystCloud ArchitectCloud EngineerCybersecurity AnalystCybersecurity EngineerDatabase AdministratorDevOps EngineerFinOps EngineerIT Support SpecialistNetwork EngineerPlatform EngineerSite Reliability Engineer

Questions

Questions about this path

How long does it take to become a ai security engineer with Welica?

The path is 12 chapters, 4–5 months at 15 to 30 minutes a day. You can go faster or slower; the plan moves with you.

Do I need a degree?

Not always. Common routes are bachelor degree in computer science, cybersecurity, or machine learning, diploma or certificate in IT security plus self-study in machine learning, security bootcamp combined with online machine-learning courses and labs, or self-study path using AI security courses, home labs, and a portfolio.

What is free?

Chapter 1, See the work of an AI security engineer, is free for good. Premium unlocks the rest of the path.

Start the AI Security Engineer path.

Chapter 1 free. About 15 to 30 minutes a day.

Start this path free →

Already have an account? Sign in

Also on iPhone and Android