ATS-Friendly AI Security Engineer Resume Template

Build an ATS-readable document

• Use a conventional name and contact header, followed by Professional Profile, Core Skills, Professional Experience, Selected Projects if useful, Education, and Certifications if genuinely held.
• Use one column, simple headings, plain text dates and locations, and ordinary bullet lists. Avoid text boxes, icons, images, charts, headers and footers that carry essential information, or keyword text hidden in formatting.
• Write out an important term once before its abbreviation when space permits: for example, “retrieval-augmented generation (RAG)” or “identity and access management (IAM).” Then use the wording of the vacancy naturally.
• Place the strongest matching evidence near the top. A parser can find a keyword, but a reader still needs to see how you used the skill and what changed.
• Submit the file type requested by the employer. Check that copied text preserves your name, dates, headings and bullet order before applying.

Copy-ready resume structure

[Your Name]
[City, State] · [Professional email] · [Phone] · [Relevant professional profile or portfolio URL, if current]

Professional Profile

[Two or three sentences stating your real security role or experience level, relevant AI-system scope, core security foundation, and the kind of evidence or controls you have delivered. Do not imply production authority or years of experience you do not have.]

Core Skills

• AI-system security: [Only verified skills: LLM application review, agent authorization, prompt-injection testing, retrieval/context controls, guardrail evaluation, adversarial testing, or other relevant work.]
• Security engineering: [Only verified skills: application/API security, IAM, cloud/platform security, threat modeling, secure development, telemetry, incident support.]
• Methods and tools: [Languages, cloud environments, policy systems, test harnesses, CI/CD, logging and analysis tools you have actually used.]
• Collaboration: [Specific, evidenced behavior such as developer guidance, written findings, risk translation, or documented handoff.]

Professional Experience

[Role] | [Employer] | [City, State or Remote] | [Month Year–Month Year]

• [Action] [AI-enabled system or security surface] by [method or control], producing [artifact or observable result].
• [Tested or reviewed] [attacker-controlled surface, permission boundary or data flow]; [documented finding, proposed change and verification].
• [Partnered with] [actual team] to [implement or prioritize a security decision], with [measured result if you have a defensible baseline and source].

Repeat for earlier relevant roles. Keep ownership and authority exact: “recommended,” “implemented,” “validated,” and “approved” mean different things.

Selected Projects

Use this section when an authorized workplace project or a clearly identified personal lab supplies useful evidence that employment history does not. State the environment, scope, test method, outcome and artifact. Do not present a sandbox exercise as production work. Link a portfolio artifact only if you have the right to share it and it reveals no sensitive information.

Education and Certifications

[Earned degree, institution and completion year if you choose to show it.]
[Current certification and issuer only if you actually hold it.]

Choose truthful keywords

Select terms that appear in the target posting and describe your experience. The reviewed vacancies mention both AI-specific and foundational skills; no keyword below is mandatory across employers.

• AI architecture and risk: LLM application architecture, agents and tool calls, retrieval-augmented generation, trust boundaries, threat modeling, prompt injection, jailbreak testing, adversarial evaluation, runtime guardrails, sensitive-data protection.
• Security foundations: application security, API security, IAM, authentication and authorization, least privilege, secure coding, cloud or container security, security telemetry, detection and incident response.
• Evidence and collaboration: security architecture review, test cases and results, guardrail or policy pattern, monitoring signal, written findings, risk assessment, developer guidance, cross-functional handoff.

The sample separates an assigned duty from a hiring criterion. For example, prompt-injection testing was explicitly assigned in 11 of 113 reviewed postings, while prompt-injection attack or defense was mentioned somewhere in 80 of 113. A resume should match the target role's actual wording and show evidence rather than list every term.

Write achievements a reviewer can check

A strong experience bullet connects action + system or boundary + method + artifact or result. Use a number only when you know how it was measured. If a result cannot be quantified credibly, describe the completed control, repeatable test, accepted recommendation or handoff without adding a made-up percentage.

• Weak: “Responsible for AI security and prompt injection.”
• Stronger pattern: “Mapped instruction, retrieval and tool-action trust boundaries for [system]; ran [authorized test] and documented [finding and owner], leading to [verified control or decision].”
• Weak: “Worked with developers on security.”
• Stronger pattern: “Explained [specific failure path] to [team], supplied a reproduction and acceptance check, and supported [documented fix or risk decision].”

Completed resume

Fictional example for learning purposes.

Maya Chen
Arlington, VA · maya.chen@example.com · 202-555-0148

Professional Profile

Security engineer with six years of application and platform security experience, including AI-enabled workflow reviews and adversarial testing. Builds reproducible evidence for prompt-injection and tool-permission risks, then works with product and platform teams to implement scoped controls, monitoring and secure release checks. Experienced with Python, API security, IAM and cloud deployment reviews.

Core Skills

• AI-system security: LLM application threat modeling, retrieval trust boundaries, prompt-injection testing, agent tool authorization, guardrail evaluation, adversarial test design.
• Security engineering: application and API security, OAuth 2.0, role-based access control, least privilege, cloud security, secure development, detection engineering.
• Tools: Python, AWS, Terraform, GitHub Actions, API test harnesses, SIEM query and dashboard workflows.
• Collaboration: written security findings, developer enablement, risk prioritization, incident-response handoff.

Professional Experience

AI Security Engineer | Cedarstone Systems | Arlington, VA | June 2023–Present

• Mapped instruction, retrieval and tool-action trust boundaries for a customer-support assistant that searched internal knowledge and opened service tickets; documented data access and delegated-permission risks for the product and IAM owners.
• Built a Python adversarial test set covering lower-trust retrieved passages, tool responses and conflicting user instructions; recorded expected and observed behavior so engineers could reproduce and retest each confirmed failure.
• Partnered with application engineers to scope ticket-writing permissions to the requesting user, require confirmation for sensitive actions and add server-side checks before tool execution; validated the controls against the original test cases.
• Developed monitoring signals for rejected tool calls and unusual retrieval patterns, with triage notes and a handoff to security operations for investigation.
• Presented concise findings to product, platform and security leads, separating demonstrated exposures from potential paths and documenting the owner of each follow-up decision.

Application Security Engineer | Northlake Data | Washington, DC | August 2020–May 2023

• Reviewed authentication, authorization and API data flows for cloud-hosted customer applications; worked with service owners to correct overbroad access and verify regression tests.
• Added security checks to CI/CD for infrastructure changes and application dependencies, then helped developers interpret findings and prioritize fixes.
• Wrote threat models and implementation notes for new integrations, identifying trust boundaries, sensitive-data paths and operational logging needs before release.

Selected Project

Agent Tool Authorization Lab | Personal sandbox | 2024

• Built a small agent workflow with a read-only search tool and a ticket-writing tool; tested whether lower-trust retrieved text could induce an unauthorized write. Added explicit user-context checks and action confirmation, then published a sanitized test plan and results in a personal portfolio.

Education

Bachelor of Science in Computer Science | University of Maryland, College Park | 2020

Tailoring checklist

• Confirm the role family and level. A staff or principal vacancy can call for broader ownership than an engineer role; reflect only the level you have actually held.
• Compare the posting's required and preferred headings. Do not convert a preferred skill into a personal claim or imply that every coded mention is a prerequisite.
• Match two or three central duties with specific evidence near the top: for example, an AI threat model, a reproducible adversarial test, an authorization control or a monitoring handoff.
• Check that the tool names, employment dates, employer names, results and education are yours, accurate and consistent with any application form or public profile.
• Remove confidential system details, customer data, exploit material and internal security findings before sharing a resume or portfolio link.
• Read the exported document as plain text to confirm a recruiter and parser see the same section order.