AI
UK
US English

7 AI Security Engineer CV Templates with Example

By Ria · Last Updated On 23 October 2026
View in Editor
Generate a Free CV Like This
CV example — page 1
Generate a Free CV Like ThisView This CV in EditorView in Editor

This guide shows you how to create an AI Security Engineer CV that makes your security work clear and relevant. You will learn how to organise evidence of risk reduction and compare professional formats.

A strong CV for this role explains how you assess AI systems and turn findings into practical safeguards. Use concise examples to show threat modelling, red-team testing, security controls and work across model development, evaluation, deployment and operations.

Explore the example presented in 7 layouts, compare their PNG image previews, and open a preferred example in the editor to customise it. The guidance covers ATS readability, useful CV sections and terms such as LLM security, prompt injection, AI guardrails, cloud security and secure CI/CD.

What Makes a Great AI Security Engineer CV in 2026

A strong CV links AI security work to clear outcomes, such as finding risks before release and improving safeguards in live systems. Use focused experience bullets to show your contribution and its impact.

Include relevant terms such as threat modelling, AI red teaming, prompt injection testing, guardrails, monitoring and secure CI/CD. Add figures only when you can support them with evidence.

Note: CV examples are for educational purposes only. Use only information that accurately reflects your experience and qualifications. References to real organisations do not imply affiliation or endorsement.

#1 Plain Two Column Format CV Example

The Plain Two Column Format sets information in parallel columns, a practical choice when a CV needs compact access to career history and supporting details.

 
CV example — page 1   CV example — page 2
Generate a Free CV Like This

CV Snapshot

  • 12+ years across cybersecurity, cloud security, DevSecOps and AI security engineering.
  • Five years securing machine-learning and Generative AI systems.
  • AI threat modelling, red-team testing and guardrails across the model lifecycle.
  • CISSP, AWS Certified Security – Specialty, and Practical AI Security and Threat Modelling, SANS Institute.

Why This Format Works

  • Parallel areas help reviewers compare career history with supporting qualifications.
  • Clear section separation makes skills, education and credentials easier to locate.
  • The compact structure suits detailed work evidence alongside concise supporting information.

Best For

  • CVs with substantial career evidence
  • Work history paired with supporting details
  • Quick comparison of experience and qualifications
  • Compact organisation of several CV sections
  • Readers who prefer parallel information areas

CV Keywords

  • 12+ years of experience across security operations, cloud security, DevSecOps and AI security engineering
  • Designed AI security guardrails and monitoring for model access, sensitive-data handling and unsafe outputs
  • AI/ML lifecycle security
  • LLM security
  • Foundation model security
  • assessed early Generative AI and LLM application prototypes, modelling prompt injection and data leakage scenarios and adding validation and access-control safeguards
  • AI red teaming
  • Established threat modelling and security assessment practices for enterprise LLM and foundation-model deployments
  • Vulnerability assessment
  • security testing
  • Prompt injection testing
  • Jailbreak testing
  • model manipulation
  • modelling prompt injection and data leakage scenarios and adding validation and access-control safeguards
  • testing prompt injection, jailbreaks, model manipulation, data leakage and adversarial attacks
See all keywords
 

#2 Simple One Column Format CV Example

The Simple One Column Format presents the CV in one continuous column, making it a useful choice for readers who prefer a clear top-to-bottom sequence.

 
CV example — page 1   CV example — page 2
Generate a Free CV Like This

Why This Format Works

  • One reading path helps reviewers follow career progression from role to role.
  • Skills, education and credentials can be found in the same sequence as experience.
  • The single-column structure keeps detailed evidence together without parallel content areas.

Best For

  • A straightforward reading order
  • Detailed chronological work histories
  • CVs with longer role descriptions
  • Sequential review of supporting sections
  • Readers who prefer a single content path
 

#3 Clean Two Column Sidebar Format CV Example

The Clean Two Column Sidebar Format places information in two columns, suiting CVs that need a clear distinction between main career details and supporting sections.

 
CV example — page 1   CV example — page 2
Generate a Free CV Like This

Why This Format Works

  • The two-column arrangement lets reviewers move between experience and supporting qualifications.
  • Separate content areas help readers locate skills and education during a targeted review.
  • The structure keeps career history distinct from other relevant CV sections.

Best For

  • Distinct main and supporting information
  • Career history with supplementary sections
  • Readers comparing experience and qualifications
  • CVs with varied section types
  • Clear navigation between content areas
 

#4 Two Column Format CV Example

The Two Column Format uses two parallel content areas, offering a practical way to organise career evidence alongside other CV information.

 
CV example — page 1   CV example — page 2
Generate a Free CV Like This

Why This Format Works

  • Parallel columns give career progression and supporting sections clear places in the layout.
  • Reviewers can locate skills, education and credentials without losing the work-history sequence.
  • The balanced structure suits CVs with several types of relevant evidence.

Best For

  • Several types of relevant evidence
  • Experience alongside supporting sections
  • CVs with both skills and credentials
  • Reviewers seeking clear content separation
  • Parallel organisation of CV information
 
 

#5 Photo Header Two Column Format CV Example

The Photo Header Two Column Format combines a photo in the header with two content columns, suiting readers who want a portrait as part of the CV's visual presentation.

 
CV example — page 1   CV example — page 2
Generate a Free CV Like This

Why This Format Works

  • Two columns allow experience and supporting information to be reviewed side by side.
  • The photo header gives the document a visual point of identification.
  • Distinct content areas help reviewers find education and credentials alongside career history.

Best For

  • CVs where a portrait is preferred
  • Career evidence with supporting details
  • Side-by-side review of experience and qualifications
  • A personal visual element in the header
  • CVs with several distinct sections
 

#6 Coloured Two Column Format CV Example

The Coloured Two Column Format arranges CV information in two columns, a useful choice for readers who want a structured layout with parallel content areas.

 
CV example — page 1   CV example — page 2
Generate a Free CV Like This

Why This Format Works

  • Two columns help reviewers scan career history and supporting qualifications in parallel.
  • Section boundaries make skills, education and credentials easier to find.
  • The layout can accommodate varied CV content without one long reading sequence.

Best For

  • Parallel review of career and supporting details
  • CVs with several content sections
  • Readers who value clear section boundaries
  • A structured alternative to one-column reading
  • Work history with supplementary qualifications
 

#7 Stylish Two Column Designer Format CV Example

The Stylish Two Column Designer Format keeps information in two columns, a practical option for readers who want a more designed layout while retaining a clear section structure.

 
CV example — page 1   CV example — page 2
Generate a Free CV Like This

Why This Format Works

  • The two-column reading order separates career evidence from supporting CV information.
  • Reviewers can find skills and education without interrupting the work-history sequence.
  • Distinct areas give varied qualifications and experience a clear structure.

Best For

  • A designed two-column CV layout
  • CVs combining experience and qualifications
  • Quick access to supporting sections
  • Career histories with varied evidence
  • Readers preferring parallel content areas
 
 

Why Build Your AI Security Engineer CV with ResumeInMinutes

ResumeInMinutes helps you organise AI security experience, technical skills and education in a clear CV. Compare PNG image previews, then open an example in the editor to customise its content and layout.

  • Different CV layouts
  • Clear, readable section structure
  • Space for role-specific keywords
  • Organised skills and experience
  • PNG image previews
  • CV customisation in the editor

Choose the format that makes your AI security evidence easiest to follow. Keep the focus on risks assessed, controls built, testing completed and results you can explain.

 

See Also

 

Frequently Asked Questions

Are these AI Security Engineer CV templates ATS-friendly?

The examples use readable headings and clear sections to support scanning. Include relevant terms naturally, such as AI/ML lifecycle security, LLM security, threat modelling, AI red teaming, secure CI/CD and cloud security.

Are these separate CV examples or different layouts of one example?

This page shows one role-focused CV example in different layouts. Compare the PNG image previews, then open an example in the editor to customise it.

What should an AI Security Engineer CV include?

Include a focused summary, relevant experience, technical skills, education and certifications. Show evidence of AI threat modelling, red-team testing, security controls, guardrails, monitoring and work across the AI lifecycle.

Which CV layout works well for an AI Security Engineer?

Choose a layout with clear headings and an easy-to-follow order for experience, skills and education. A simple structure helps recruiters and applicant tracking systems find key details.

How can I show AI security achievements on my CV?

Write concise bullet points that explain the risk, your action and the result. Where you have evidence, include measures such as issues found before release, improved test coverage or faster remediation.

Should I include a photo on my CV?

For UK applications, a photo is usually not needed. Use the space for relevant security experience, technical skills and measurable results instead.

ATS score and CV checks

Generate a Free CV Like ThisView in Editor

ATS Score 100%

How we calculate this score

  • Keywords: 60% of the total. AI extracts keywords from your job description. If you do not provide one, a standard job description for the title matching your CV is used. This is not a match to a specific vacancy.
  • Text-based CV: 20%. The text CV assessed here receives 100 for this part.
  • CV quality: 20%. We start at 100 and subtract points for issues found by our CV checks, down to a minimum of zero.
  • Keyword coverage = round(100 × confirmed matches ÷ total keywords). Exact matches and supported equivalents verified by AI receive full credit; unsupported keywords receive none. Live text checks use the saved equivalents and do not request a new AI review. Without keywords, no overall ATS score is available.
  • Final score = 60% of keyword coverage + 20% of the text score + 20% of the quality score, rounded to a whole number. Without keywords, no overall ATS score is available.

What this score means

Our scores are estimates, not employer ratings. They may contain errors and do not guarantee accurate parsing, a ranking, an interview, or a job. Check your document against the employer’s requirements. You are responsible for relying on this score.

Terms and Conditions

Score weights: Keywords 60% · Text based CV 20% · CV quality 20%

Keyword coverage: 32 of 32 (100%) · CV quality: 100%

CV quality 100% · Weight 20% · Issues (0)

Details
  • ✓Name present: Abigail Hussain
  • ✓Email format: abigail.hussain@example.com
  • ✓Phone format: 07700 90XXXX
  • ✓Experience 1: Job title: AI Security Engineer
  • ✓Experience 1: Company name: Meridian Vale Technologies
  • ✓Experience 1: Work location: Leeds, West Yorkshire
  • ✓Experience 1: Employment dates: Sep 2023 - Present
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: AI Security Engineer
  • ✓Experience 2: Company name: Brightforge Systems
  • ✓Experience 2: Work location: Manchester, Greater Manchester
  • ✓Experience 2: Employment dates: Jan 2020 - Aug 2023
  • ✓Experience 2: Description or achievements: Present
  • ✓Experience 3: Job title: DevSecOps Security Engineer
  • ✓Experience 3: Company name: Kestrel Ridge Cloud Services
  • ✓Experience 3: Work location: Birmingham, West Midlands
  • ✓Experience 3: Employment dates: Jun 2018 - Dec 2019
  • ✓Experience 3: Description or achievements: Present
  • ✓Experience 4: Job title: Cloud Security Analyst
  • ✓Experience 4: Company name: Westmere Financial Technology
  • ✓Experience 4: Work location: Nottingham, Nottinghamshire
  • ✓Experience 4: Employment dates: Apr 2016 - May 2018
  • ✓Experience 4: Description or achievements: Present
  • ✓Experience 5: Job title: Cyber Security Analyst
  • ✓Experience 5: Company name: Northfield Digital Services
  • ✓Experience 5: Work location: Sheffield, South Yorkshire
  • ✓Experience 5: Employment dates: Jul 2014 - Mar 2016
  • ✓Experience 5: Description or achievements: Present
  • ✓No placeholder fields
  • ✓No repeated achievement bullets
  • ✓No empty bullets

No issues found by the current checks.

Text Based CV 100% · Weight 20%

Parsed text
Abigail Hussain
Cybersecurity Professional
07700 90XXXX
abigailhussain
Leeds, West Yorkshire, LS6 2AB
abigail.hussain@example.com
STRENGTHS
Threat analysis
Map data flows, trust boundaries and abuse cases before release, helping teams address AI security risks early.
Red-team testing
Turn attack exercises into practical mitigations and repeatable regression tests that give engineering teams clear next steps.
Risk communication
Present technical findings in terms of exploitability and impact, helping stakeholders agree which issues need attention first.
Cross-team partnership
Work with data scientists, engineers, architects and risk colleagues to turn security requirements into usable controls.
Analytical problem-solving
Investigate vulnerabilities and configuration gaps systematically, connecting evidence to realistic remediation for service owners.
SUMMARY
Cybersecurity professional with 12+ years of experience across security operations, cloud security, DevSecOps and AI security engineering, including five years securing machine learning and Generative AI systems. Assess LLM and foundation model risks through threat modelling, vulnerability assessment and red-team testing, then translate findings on prompt injection, jailbreaks, data leakage and adversarial attacks into practical safeguards. Build security controls across model development, training, evaluation and deployment, integrating guardrails, monitoring and automated checks into cloud environments and CI/CD pipelines. Partner with data scientists, engineers, architects and risk teams to establish AI security standards and model-risk evidence, supporting secure and responsible enterprise adoption.
EXPERIENCE
AI Security Engineer
Meridian Vale Technologies
Sep 2023 - Present
Leeds, West Yorkshire
Established threat modelling and security assessment practices for enterprise LLM and foundation-model deployments, mapping data flows, trust boundaries and abuse cases before release.
Led AI red-team exercises against internal AI-enabled applications, testing prompt injection, jailbreaks, model manipulation, data leakage and adversarial attacks; converted findings into prioritised mitigations and repeatable regression tests.
Designed AI security guardrails and monitoring for model access, sensitive-data handling and unsafe outputs, enabling engineering teams to detect and respond to misuse during operation.
Integrated security testing into CI/CD pipelines and DevSecOps workflows, using Python automation to check model interfaces, dependencies and deployment configurations before promotion.
Partnered with data scientists, AI engineers, architects, governance and risk teams to define enterprise AI security standards, control requirements and model-risk review evidence.
Assessed cloud security and secure configuration management for AI services, covering development, training, evaluation and deployment environments; documented remediation paths for platform owners.
Tracked emerging AI threats through red-team findings and threat intelligence reviews, updating regression scenarios and guardrails to support responsible adoption across enterprise applications.
AI Security Engineer
Brightforge Systems
Jan 2020 - Aug 2023
Manchester, Greater Manchester
Secured machine-learning services used for customer operations by reviewing data pipelines, model development workflows and deployment architecture against established security practices.
Built automated checks for model artefacts, access permissions and cloud configuration, reducing avoidable exposure before releases and giving engineering teams actionable findings.
From late 2022, assessed early Generative AI and LLM application prototypes, modelling prompt injection and data leakage scenarios and adding validation and access-control safeguards.
Worked with model developers to improve security testing across training and evaluation datasets, documenting adversarial examples and model-risk considerations for governance reviews.
Presented assessment results to technical and non-technical stakeholders, helping teams rank vulnerabilities by exploitability, data sensitivity and operational impact.
DevSecOps Security Engineer
Kestrel Ridge Cloud Services
Jun 2018 - Dec 2019
Birmingham, West Midlands
Embedded security checks in CI/CD pipelines for cloud-hosted services, combining code, dependency and infrastructure reviews with clear release criteria.
Automated configuration reviews with Python and infrastructure scripts, identifying excessive permissions and inconsistent controls before production deployment.
Worked with software engineers and cloud architects to threat model application changes and resolve vulnerabilities without disrupting delivery schedules.
Produced concise risk reports and remediation guidance for service owners, strengthening communication between engineering, operations and security teams.
Cloud Security Analyst
Westmere Financial Technology
Apr 2016 - May 2018
Nottingham, Nottinghamshire
Reviewed cloud access, network boundaries and service configurations for financial data applications, documenting security gaps and tracking remediation with system owners.
Used scripting to reconcile configuration records with approved baselines, helping operations teams identify drift and maintain secure environments.
Supported vulnerability assessments and security testing for application releases, explaining technical findings in terms of data protection and service risk.
Cyber Security Analyst
Northfield Digital Services
Jul 2014 - Mar 2016
Sheffield, South Yorkshire
Analysed security alerts and vulnerability reports for business systems, validating findings and escalating material risks through established incident and change processes.
Maintained clear investigation records and collaborated with infrastructure teams to verify corrective actions, improving the quality of evidence available for risk reviews.
Prepared trend summaries from recurring findings, helping stakeholders prioritise practical security improvements across supported services.
SKILLS
AI/ML lifecycle security
Generative AI
Jailbreak testing
AI governance
Foundation model security
Stakeholder management
Vulnerability assessment
Prompt injection testing
AI security engineering
Threat modelling
Cloud security
AI red teaming
DevSecOps
LLM security
Model risk
LANGUAGES
English
Native
Urdu
Proficient
MY CAREER
12.3Years
AI Security Engineer at Meridian Vale Technologies (3.2 Years)
AI Security Engineer at Brightforge Systems (3.7 Years)
DevSecOps Security Engineer at Kestrel Ridge Cloud Services (1.6 Years)
Cloud Security Analyst at Westmere Financial Technology (2.2 Years)
Cyber Security Analyst at Northfield Digital Services (1.8 Years)
LEADERSHIP, AWARDS & RECOGNITION
Recognised by the Meridian Vale engineering group in 2025 for clear, actionable AI red-team reporting and cross-functional knowledge sharing.
Mentored two security analysts on threat modelling, vulnerability assessment and communicating remediation priorities to engineering stakeholders.
EDUCATION
BSc (Hons) Computer Networks and Security
Sheffield Hallam University
2013
Sheffield, UK
CERTIFICATIONS
Certified Information Systems Security Professional (CISSP)
2022
AWS Certified Security – Specialty
2021
Practical AI Security and Threat Modelling, SANS Institute
2024
TECHNICAL SKILLS
Programming and Scripting: Python, Bash, PowerShell
Cloud Platforms: Amazon Web Services, Microsoft Azure, Google Cloud Platform
Identity and Access: AWS IAM, Microsoft Entra ID, HashiCorp Vault
Infrastructure as Code: Terraform, AWS CloudFormation, Ansible
CI/CD Platforms: Jenkins, GitHub Actions, GitLab CI/CD
Source Control: Git, GitHub, GitLab
Container Technologies: Docker, Kubernetes, Amazon EKS
Security Scanning: Snyk, Trivy, Checkov
AI and Machine Learning: PyTorch, TensorFlow, Hugging Face Transformers
Data and Model Formats: Apache Parquet, MLflow, ONNX
Network Security: Wireshark, Nmap, Suricata
PROFESSIONAL AFFILIATIONS
Member, UK Cyber Security Council, contributing to professional development and discussion of security practice.
Member, BCS, The Chartered Institute for IT, engaging with the UK technology and information security community.

Matched keywords (32)

  • 12+ years of experience across security operations, cloud security, DevSecOps and AI security engineeringOriginal keyword in JD: 8+ years of relevant professional experience
  • Designed AI security guardrails and monitoring for model access, sensitive-data handling and unsafe outputsOriginal keyword in JD: Hands-on AI security engineering
  • AI/ML lifecycle security
  • LLM security
  • Foundation model security
  • assessed early Generative AI and LLM application prototypes, modelling prompt injection and data leakage scenarios and adding validation and access-control safeguardsOriginal keyword in JD: Generative AI application security
  • AI red teaming
  • Established threat modelling and security assessment practices for enterprise LLM and foundation-model deploymentsOriginal keyword in JD: AI threat modelling
  • Vulnerability assessment
  • security testing
  • Prompt injection testing
  • Jailbreak testing
  • model manipulation
  • modelling prompt injection and data leakage scenarios and adding validation and access-control safeguardsOriginal keyword in JD: Data leakage prevention
  • testing prompt injection, jailbreaks, model manipulation, data leakage and adversarial attacksOriginal keyword in JD: Adversarial attack testing
  • define enterprise AI security standards, control requirements and model-risk review evidenceOriginal keyword in JD: AI security controls
  • Designed AI security guardrailsOriginal keyword in JD: AI guardrails
  • Designed AI security guardrails and monitoring for model access, sensitive-data handling and unsafe outputsOriginal keyword in JD: AI security monitoring
  • Build security controls across model development, training, evaluation and deploymentOriginal keyword in JD: Model development, training, evaluation and deployment security
  • DevSecOps
  • Integrated security testing into CI/CD pipelines and DevSecOps workflowsOriginal keyword in JD: Secure CI/CD
  • secure configuration management
  • Cloud security
  • using Python automation to check model interfaces, dependencies and deployment configurations before promotionOriginal keyword in JD: Scripting and automation
  • AI governance
  • Model risk
  • Analytical problem-solving
  • Stakeholder management
  • communication
  • enterprise AI security standards
  • Tracked emerging AI threats through red-team findings and threat intelligence reviewsOriginal keyword in JD: Emerging AI threat analysis
  • updating regression scenarios and guardrails to support responsible adoption across enterprise applicationsOriginal keyword in JD: Responsible AI adoption

Missing keywords (0)

No missing keywords.

Disclaimer: All names, images, contact information, employment histories, achievements, security clearances, military credentials, and other qualifications shown in this content are fictional and used for illustrative purposes only. Any resemblance to actual persons, living or deceased, is purely coincidental.

CV and cover letter examples and recommendations in this article reflect general best practices and professional experience and are provided for guidance only. Results may vary based on role, industry, region, and hiring organisation.

Content Accuracy and Verification: To the fullest extent permitted by applicable law, we do not represent or warrant that CV or cover letter guidance, examples, recommendations, or related information are accurate, complete, current, error-free, or suitable for any particular purpose. You are responsible for independently reviewing and verifying the information before relying on it.

ATS and Cover Letter Scores: ATS scores are estimates calculated using our own formula, informed by publicly available guidance on CV formatting and keyword matching. They are not scores issued or endorsed by an ATS provider or employer. Cover letter scores are also our own assessments. Parsing, weighting, screening criteria, and results vary between systems, employers, job descriptions, and document formats. No score guarantees successful parsing, a particular ranking, an interview, or employment. Use scores as general guidance and independently check your documents against the employer’s requirements. To the fullest extent permitted by applicable law, we accept no liability for errors in scores or parsing, or losses arising from reliance on these assessments. Nothing in this notice excludes liability or limits consumer rights that cannot lawfully be excluded or limited.

Terms and Conditions
 
 
> JP 1 1
PDF Footer and Margins Setup
The margins are applied to the document, and the footer appears in both the preview and the PDF

Footer Font Settings

Are you applying for a specific job
so we can tailor your CV to it? Are you applying for a specific job
so we can tailor your cover letter to it?

Your data stays private and is never used for training.Privacy Policy

Type your details as text to generate a personalised CV Type your details as text to generate a personalised cover letter
Website link found! Ready to create CV from:
Skip this Step

Your data stays private and is never used for training.Privacy Policy

Drag the into the box to verify you're human.
Drop here

My CVs

Showing {number_of_files} files (out of {total_of_all_files} total)
Name File Type Last Modified: Description:

Rename File

Filename already exists!

Delete Files

Warning: This action is irreversible. Once you click submit, the files will be permanently deleted.

Heading text
Upload From Computer Upload
Select From Existing
LinkedIn
Drag & Drop files anywhere in this tab, or

Uploaded Files

Delete Name Last Updated Use This File
Select this to use the file for generating your CV and cover letter. Only one source—uploaded file, selected file, or LinkedIn text—can be used.

My Files

CVs or cover letters you create will appear here. No files available yet.
Delete Name Last Updated Use This File
Select this to use the file for generating your CV and cover letter. Only one source—uploaded file, selected file, or LinkedIn text—can be used.

Add LinkedIn Profile PDF

You can download your LinkedIn profile as a PDF by opening linkedin.com in a web browser, clicking your profile photo, selecting the “More” or “Resources” button, and choosing “Save to PDF.” You can then attach the PDF using the Upload From Computer tab.

Paste Your LinkedIn Profile Text

If you have copied the LinkedIn profile text, paste it below. See how to copy your profile from LinkedIn

Select this to use the LinkedIn profile text for generating your CV and covering letter. Only one source—uploaded file, selected file, or LinkedIn text—can be used.

Try these controls

<
>