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AI Security Engineer

You find and close the ways AI systems get attacked — prompt injection, data poisoning, model theft, unsafe tool use.

Degree usually expected Hard, because it sits across two specialisms.


Can I actually do this?

Not a first job. It assumes either security engineering or ML engineering already; the material below is standards and taxonomy, not an introduction to either field.

Who it suits. People who instinctively ask how a thing breaks, and who can write the failure up so a team can act on it.

Runway. Realistic from a security or ML background; you need one of the two before adding the other.

Coming from another job?

Coming from security, or from LLM engineering? Either is a genuine half of this role — you are adding the other half. SOC Analyst LLM Engineer

Also advertised as

  • AI Red Teamer
  • ML Security Engineer
  • AI Risk Engineer
  • Responsible AI Engineer

The route

Four stations, in order. Each one is a thing you finish before the next matters.

  1. Station one

    Learn it free

    Only the best few, deliberately. Every one of these is free to use — the pill on each card says exactly what is and isn't free.

    OWASP Top 10 for Large Language Model Applications

    Free to learn · no certificate

    The reference list of LLM application risks (LLM01 onward, 2025 edition), free and open like all OWASP projects. The risk listing also lives at genai.owasp.org/llm-top-10/ — that page's title reads "LLMRisks Archive", which is WordPress taxonomy naming for a listing page, NOT a sign it is outdated.

    NIST AI 100-2 E2025 — Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations

    Free to learn · no certificate

    US government standards publication, free to download. Gives you the shared vocabulary for attack classes — useful precisely because it is the language auditors and regulators use.

    NIST AI Risk Management Framework (AI RMF 1.0)

    Free to learn · no certificate

    The governance framework much AI risk work is organised around. Free; a companion Generative AI Profile (NIST AI 600-1) exists alongside it.

    See the full catalog in the explorer →

  2. Station two

    Attest strategically

    If you buy one here, understand what you are buying. CertNexus CAIP is accredited by the ANSI National Accreditation Board to ISO/IEC 17024 — that accredits the exam body's process, not just a vendor's opinion of its own product, and no other AI certification in our research holds it. IAPP AIGP is governance-facing and we found no accreditation on its page. Neither publishes a price, so treat both as unbudgeted until you reach a checkout.

    CertNexus Certified Artificial Intelligence Practitioner (CAIP)

    Free to learn · paid certificate Recognized

    The honest cost
    CostNot published
    ValidityNot stated on the fetched pages.
    RenewalNot stated on the fetched pages.
    AssessmentCertification exam, accredited to ISO/IEC 17024:2012
    ProctoredNo
    Verify viaunknown
    Cost per active yearUnknowncannot be computed — no published fee

    Independently accredited by the ANSI National Accreditation Board — the only AI certification in our matrix that is.

    Read this before you buy

    ANAB/ISO 17024 accredits the CERTIFYING BODY's assessment process — a different and stronger claim than a vendor certifying competence on its own product. That is why it appears here rather than a vendor badge. Price, validity and renewal are all unpublished, so budget nothing until you see a checkout page.

    · Official page

    IAPP Artificial Intelligence Governance Professional (AIGP)

    Free to learn · paid certificate Recognized

    The honest cost
    CostNot published
    ValidityNot stated on the fetched page.
    RenewalNot stated on the fetched page.
    AssessmentCertification exam; IAPP publishes a free Body of Knowledge and Exam Blueprint
    ProctoredNo
    Verify viaunknown
    Cost per active yearUnknowncannot be computed — no published fee

    Governance-facing credential covering AI law, risk and responsible-AI practice.

    Read this before you buy

    NO independent accreditation was found on its page — a dated absence, not proof it will never have one. Compare CertNexus CAIP above, which is ANAB/ISO 17024 accredited. Both are vendor-neutral AI certifications; only one is independently accredited, and that difference is the point.

    · Official page

  3. Station three

    Prove it

    A certificate says you passed a test. These say you can do the job.

    A documented prompt-injection assessment

    Take an LLM application, attempt injection and tool-abuse against it, and write the findings up against OWASP's LLM Top 10 categories so they map to language a security team already uses.

    A guardrail that measurably reduces a failure

    Add input/output filtering or a policy layer and publish the before-and-after rates. A guardrail with no measured effect is decoration.

    A model-risk write-up mapped to a framework

    Assess a real system against NIST AI RMF and state what you could not evaluate. Naming the gaps is the professional part.

  4. Station four

    Get hired

    Search these exact titles

    • AI security engineer
    • AI red team
    • ML security engineer
    • responsible AI engineer

    Who hires for this. AI labs, financial services, healthcare, government contractors, and security consultancies building AI practices.

    Write-ups mapped to OWASP or NIST language travel further than a generic security CV, because they land in vocabulary the hiring team's auditors already use — our reasoning, not a hiring statistic we have verified.

    On salary

    We don't publish salary estimates. Numbers copied between blogs drift from reality, and a wrong number costs you real negotiating power. When we have a verified public source, it goes here with its date.


Where this route continues

Continues into AI governance and assurance work.

· How we verify