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7 AI Automation Engineer CV Templates with Example

By Ria · Last Updated On 23 October 2026
CV example — page 1

This guide shows you how to create an AI Automation Engineer CV that is clear, focused and easy to review. You will learn how to organise relevant evidence and choose a format that presents your skills well.

A strong CV for this role connects AI workflow projects with practical service desk needs. Use clear bullets to show API investigations, data checks, testing, documentation and the value of Power BI reporting.

Compare the example in 7 layouts using the PNG image previews, then open a preferred version in the editor to customise it. The guide also covers ATS readability and role-specific terms such as RMM and PSA platforms, N-able, ConnectWise, Halo, Microsoft Foundry, Python and PowerShell.

What Makes a Great AI Automation Engineer CV in 2026

A strong CV makes relevant automation projects, technical skills and results easy to find. Focus on how your work supports service desk processes and operational decisions.

Use concise bullets to explain your role in API integrations, data reconciliation, testing and Power BI reporting. Include tools such as Python, PowerShell and Microsoft Foundry only where your evidence supports them.

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 Simple One Column Format CV Example

With one text column, this format gives experience, projects and education a single reading path for reviewers who prefer a clear sequence.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • One vertical reading path helps reviewers follow experience, projects and education.
  • Skills and credentials remain within the same continuous CV sequence.
  • Project bullets stay part of the main text flow for steady review.

Best For

  • Linear CV review
  • Project-based technical experience
  • Experience-led applications
  • Skills and credentials in one sequence
  • Readers who prefer one text column

CV Keywords

  • AI automation
  • Built an MSP service desk workflow prototype connecting N-able RMM data with ConnectWise and Halo PSA records through API investigations and test integrations; documented data flows and exceptions for maintenance.
  • RMM and PSA platforms
  • API integrations
  • AI project lifecycle
  • Microsoft Copilot
  • Claude
  • Microsoft Foundry
  • clean and reconcile sample records from multiple platforms
  • Combined and checked sample service and billing datasets with Python
  • Built Power BI dashboards
  • create Power BI reporting for service delivery
  • create Power BI reporting for service delivery, client health
  • create Power BI reporting for service delivery, client health and financial performance
  • Microsoft 365
See all keywords
 

#2 Simple Two Column Format CV Example

Two columns divide the CV's reading area, suiting reviewers who want content presented in distinct areas.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Two content columns give experience and supporting CV sections distinct reading areas.
  • Reviewers can scan skills and education while keeping the wider career context in view.
  • Project details and other CV content share one divided document view.

Best For

  • Two-column reading preference
  • CVs with varied section types
  • Experience and supporting details
  • Project and education information
  • Readers who scan separate content areas

#3 Plain One Column with Shaded Labels CV Example

A single-column body keeps the CV in one continuous reading sequence, useful when a straightforward text flow matters most.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • A single text column gives experience and project details a straightforward review order.
  • Education and credentials remain within the same continuous reading path.
  • Skills and project evidence can be read as part of one document flow.

Best For

  • Straightforward CV reading
  • Project-led work history
  • Sequential experience review
  • Education and skills in one flow
  • Readers who prefer a single column
 

#4 One Column Format with Photo Right CV Example

The one-column body pairs a single text sequence with a photo on the right, for readers who want a portrait alongside the CV.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • The single text path keeps experience and education in a clear reading sequence.
  • A right-side portrait stays visually apart from project and work details.
  • Skills and credentials remain part of the main CV text flow.

Best For

  • CVs that include a portrait
  • One-column reading preference
  • Project details in a text sequence
  • Experience and education review
  • Applications where a portrait is wanted
 

#5 Clean Two Column Sidebar Format CV Example

This two-column layout offers distinct reading areas, a useful choice when the CV includes varied sections and supporting details.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Separate column areas help reviewers locate experience and supporting CV sections.
  • Skills and education can be scanned without losing the wider career context.
  • Project details stay within the same CV while the page uses two reading areas.

Best For

  • CVs with varied sections
  • Separate content areas
  • Project and education details
  • A two-column reading structure
  • Readers comparing different CV sections
 
 

#6 Two Column Format CV Example

Two columns give this CV a divided reading structure, helping readers choose between a broader scan and closer review.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • The two-column structure separates experience from other CV content for review.
  • A divided reading area helps reviewers find skills and education within the document.
  • Project details remain part of the same CV rather than a separate record.

Best For

  • Divided CV reading
  • CVs with several content types
  • Project-based evidence
  • Skills and education review
  • Readers who prefer two columns
 

#7 Photo Header Two Column Format CV Example

A photo in the header accompanies the two-column body, combining a portrait with separated content areas.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Two body columns give experience and supporting sections distinct areas for review.
  • The header portrait is separate from the CV's main career information.
  • Reviewers can scan skills and education within the divided body layout.

Best For

  • CVs with a header portrait
  • Two-column content organisation
  • Experience with supporting sections
  • Skills and education review
  • Applications where a portrait is preferred
 
 
 

Why Build Your AI Automation Engineer CV with ResumeInMinutes

ResumeInMinutes helps you organise AI automation projects, 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.

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

Choose a format that makes your project work easy to follow. Keep the focus on integrations, careful data handling, testing and clear reporting.

 

See Also

 

Frequently Asked Questions

Are these AI Automation Engineer CV templates ATS-friendly?

The examples use clear headings and sections to support scanning. Include relevant terms naturally, such as API integrations, RMM and PSA platforms, data reconciliation, Microsoft Foundry and Power BI.

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 Automation Engineer CV include?

Include a focused summary, relevant project or work experience, education and skills. Show evidence of API investigations, workflow testing, data cleaning, documentation and reporting for service delivery, client health or financial performance.

Which CV layout works well for this role?

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

How can I show AI automation project results on my CV?

Use concise bullet points to explain the task, your contribution and the outcome. If you assess potential efficiency gains, label estimates or sample results clearly and do not present them as live client savings.

Should I include a photo on my CV?

For UK applications, a photo is usually not needed. Use the space for relevant projects, skills and supported results instead.

ATS Score 86%

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: 24 of 31 (77%) · CV quality: 100%

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

Details
  • ✓Name present: Daniel Osei
  • ✓Email format: daniel.osei@example.com
  • ✓Phone format: 07700 90XXXX
  • ✓Experience 1: Job title: AI Automation Engineer, Graduate Project
  • ✓Experience 1: Company name: University Project, University of Bristol
  • ✓Experience 1: Work location: Bristol, Bristol
  • ✓Experience 1: Employment dates: Sep 2025 - Present
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: AI Automation Engineer, Capstone
  • ✓Experience 2: Company name: Capstone Project, University of Bristol
  • ✓Experience 2: Work location: Bristol, Bristol
  • ✓Experience 2: Employment dates: Sep 2024 - Jun 2025
  • ✓Experience 2: Description or achievements: Present
  • ✓Experience 3: Job title: AI Automation Engineer, Data Analysis Project
  • ✓Experience 3: Company name: Course Project, University of Bristol
  • ✓Experience 3: Work location: Bristol, Bristol
  • ✓Experience 3: Employment dates: Jan 2024 - May 2024
  • ✓Experience 3: 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
Daniel Osei
07700 90XXXX
daniel.osei@example.com
danielosei
Bristol, Bristol, BS1 4DJ
SUMMARY
Computer Science graduate with project experience in AI automation for managed service provider service desk scenarios. Build and test API integrations across RMM and PSA platforms, reconcile operational data and create Power BI reporting for service delivery, client health and financial performance. Use Python, PowerShell, Microsoft 365 and AI tools to develop practical prototypes, document decisions and explain technical choices to non-technical reviewers.
EDUCATION
Bachelor of Science in Computer Science
2026
University of Bristol
Bristol, Bristol
TECHNICAL SKILLS
Programming Languages: Python, PowerShell, SQL
Microsoft Cloud: Microsoft Azure, Microsoft 365, Microsoft Foundry
Business Intelligence: Power BI, DAX, Power Query
Workflow Platforms: Microsoft Power Apps, Microsoft Power Automate, Microsoft Dataverse
AI Assistants: Microsoft Copilot, Claude, Azure OpenAI
Service Management: ConnectWise PSA, HaloPSA, N-able RMM
Data Formats: JSON, CSV, XML
API Technologies: REST, HTTP, OAuth 2.0
Databases: Microsoft SQL Server, PostgreSQL, SQLite
Development Tools: Visual Studio Code, Git, GitHub
Microsoft Productivity: Microsoft Excel, Microsoft SharePoint, Microsoft Teams
SKILLS
AI automation
Workflow prototyping
Microsoft 365
Power Apps
Microsoft Copilot
Claude
Microsoft Foundry
Python
PowerShell
Power BI
RMM and PSA platforms
N-able
ConnectWise
Halo
API integrations
EXPERIENCE
AI Automation Engineer, Graduate Project
Sep 2025 - Present
University Project, University of Bristol
Bristol, Bristol
Built an MSP service desk workflow prototype connecting N-able RMM data with ConnectWise and Halo PSA records through API investigations and test integrations; documented data flows and exceptions for maintenance.
Developed a Microsoft Foundry assisted automation proof of concept in 2026, testing controlled ticket summarisation and routing against sample cases and reviewing output accuracy before proposing implementation steps.
Used Python and PowerShell to clean and reconcile sample records from multiple platforms, flagging mismatched client and ticket data so the prototype could use consistent inputs.
Gathered requirements from tutors and project reviewers, translated service desk pain points into test cases, and explained design choices in a demonstration for a non-technical audience.
Recorded baseline handling steps and compared them with the prototype workflow, assessing potential service desk efficiency gains and operational impact without presenting simulated results as live client savings.
Mapped the AI project lifecycle from concept and requirements through development, testing and implementation planning, using a Power BI comparison of sample ticket handling steps to assess operational and commercial impact.
AI Automation Engineer, Capstone
Sep 2024 - Jun 2025
Capstone Project, University of Bristol
Bristol, Bristol
Created a Microsoft 365 and Power Apps prototype to capture and route internal service requests, using structured requirements and user feedback to refine its forms and workflow.
Tested Microsoft Copilot and Claude for business-focused support scenarios, checking outputs against agreed sample responses and documenting suitable uses and limitations.
Produced clear setup notes and a short user guide, then presented the prototype and its potential client experience benefits to classmates and academic supervisors.
AI Automation Engineer, Data Analysis Project
Jan 2024 - May 2024
Course Project, University of Bristol
Bristol, Bristol
Combined and checked sample service and billing datasets with Python, resolving inconsistent fields and recording data-quality decisions before analysis.
Built Power BI dashboards for service delivery, client health and financial performance, using labelled measures and filters to help reviewers compare operational patterns.
Investigated discrepancies between source tables, documented findings and suggested automation opportunities for recurring data preparation tasks.
LEADERSHIP, AWARDS & RECOGNITION
Peer mentor, University of Bristol Computer Science peer mentoring scheme, 2025–2026.
Student project showcase commendation for clear technical communication, University of Bristol, 2026.
Course representative, Computer Science undergraduate cohort, 2024–2025.
CERTIFICATIONS
Microsoft Certified: Power Platform Fundamentals (PL-900)
2026
Microsoft Learn, Power BI data analysis learning path
2025
PROFESSIONAL AFFILIATIONS
Member, BCS, The Chartered Institute for IT, engaging with a professional community relevant to computing and technology.
Member, Microsoft Power Platform Community, participating in an organised community focused on Power Apps and automation.
LANGUAGES
English (Native)
French (Beginner)

Matched keywords (24)

  • AI automation
  • Built an MSP service desk workflow prototype connecting N-able RMM data with ConnectWise and Halo PSA records through API investigations and test integrations; documented data flows and exceptions for maintenance.Original keyword in JD: Automation development and maintenance
  • RMM and PSA platforms
  • API integrations
  • AI project lifecycle
  • Microsoft Copilot
  • Claude
  • Microsoft Foundry
  • clean and reconcile sample records from multiple platformsOriginal keyword in JD: Data cleaning and reconciliation
  • Combined and checked sample service and billing datasets with PythonOriginal keyword in JD: Data analysis across multiple sources
  • Built Power BI dashboardsOriginal keyword in JD: Power BI dashboards and reports
  • create Power BI reporting for service deliveryOriginal keyword in JD: Service delivery reporting
  • create Power BI reporting for service delivery, client healthOriginal keyword in JD: Client health reporting
  • create Power BI reporting for service delivery, client health and financial performanceOriginal keyword in JD: Financial performance reporting
  • Microsoft 365
  • Power Apps
  • PythonOriginal keyword in JD: Python OR PowerShell
  • Gathered requirements from tutors and project reviewersOriginal keyword in JD: Requirements gathering
  • testing and implementation
  • using a Power BI comparison of sample ticket handling steps to assess operational and commercial impactOriginal keyword in JD: Operational and commercial impact assessment
  • explained design choices in a demonstration for a non-technical audienceOriginal keyword in JD: Communication with non-technical colleagues
  • Computer ScienceOriginal keyword in JD: Computer Science OR AI OR Data OR Business Systems OR related subject
  • Built an MSP service desk workflow prototype connecting N-able RMM data with ConnectWise and Halo PSA recordsOriginal keyword in JD: Managed service provider (MSP) operations
  • service desk efficiency

Missing keywords (7)

  • Structured documentation
  • Analytical problem-solving
  • Proactive issue investigation
  • Attention to detail
  • Curiosity and willingness to learn
  • Client experience improvement
  • Emerging technology
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
 
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