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7 AI Solutions Engineer CV Templates with Example

By Ria · Last Updated On 22 October 2026
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This practical guide shows you how to create an AI Solutions Engineer CV that presents your technical work clearly. Learn how to organise your evidence and choose a layout that makes your skills and experience easy to review.

An effective CV connects business needs to useful AI applications, workflow improvements and integrations. Use clear evidence of requirements analysis, Python or JavaScript development, testing, security controls and user adoption to show how you deliver practical solutions.

Compare the example in 7 layouts using the PNG image previews, then open a layout in the editor to customise it. The guide also covers ATS readability, useful CV sections and role-specific terms such as large language models, REST APIs, Power Automate, governance and compliance.

What Makes a Great AI Solutions Engineer CV in 2026

A strong CV makes application development, AI delivery and workflow improvements easy to scan. Show how you turn operational needs into secure, usable solutions.

Use concise bullets with relevant terms such as large language models, API integrations, testing, governance and user adoption. Include measurable results only when you can support 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

This one-column CV keeps content in a single reading sequence, giving reviewers a direct route through experience, skills and qualifications.

 
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Why This Format Works

  • Role-by-role ordering helps reviewers follow career progression over time.
  • Skills and technical tools remain easy to locate within one reading path.
  • Education and certifications can be checked alongside the wider career record.

Best For

  • Single-column reading preference
  • Chronological career histories
  • Detailed experience records
  • Combined technical skills lists
  • Education and certification details

CV Keywords

  • Delivered an internal LLM-assisted knowledge tool
  • workflow automation
  • AI technologies
  • Large language models
  • API integrations
  • Developed JavaScript and Python applications
  • Python
  • Elicit requirements from stakeholders
  • Technical solution design
  • Automation Platforms
  • Established test cases for response quality, reliability and appropriate handling of sensitive information; used user feedback and performance checks
  • used user feedback and performance checks to guide iterative improvements
  • introduced access controls and review steps
  • document governance controls, data access boundaries and deployment decisions
  • compliance
See all keywords
 

#2 Simple Two Column Format CV Example

This two-column CV divides information into parallel areas, helping reviewers move between experience and supporting details.

 
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Why This Format Works

  • Parallel content areas give sections clear boundaries for a quick scan.
  • Experience can be distinguished from skills and qualifications during review.
  • Reviewers can move between career history and supporting details without losing their place.

Best For

  • Parallel section organisation
  • Experience with supporting details
  • Compact skills and credentials
  • Quick section-to-section review
  • Separate content-area preference

#3 Plain One Column with Shaded Labels CV Example

This one-column CV presents each section in sequence, suiting reviewers who prefer a straightforward route through the document.

 
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Why This Format Works

  • Sequential sections help reviewers trace experience from earlier roles to recent work.
  • Skills and tools can be read in context with the wider CV content.
  • Education and credentials remain part of the same straightforward review sequence.

Best For

  • Linear reading preference
  • Chronological work histories
  • Detailed role descriptions
  • Skills alongside experience
  • Education and credential sections
 

#4 One Column Format with Photo Right CV Example

This one-column CV includes a photo alongside a clear sequence for the document’s details, for readers who prefer a photo-inclusive layout.

 
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Why This Format Works

  • The single-column structure keeps role details in a consistent reading order.
  • Skills and tools can be reviewed without switching between separate content columns.
  • Education and certifications stay within the same continuous sequence as experience.

Best For

  • Photo-inclusive CVs
  • One-column reading preference
  • Continuous career histories
  • Role-by-role detail
  • Combined skills and qualifications
 

#5 Clean Two Column Sidebar Format CV Example

This two-column CV uses parallel content areas to separate sections, helping reviewers navigate a multi-section document.

 
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Why This Format Works

  • Two content columns help reviewers distinguish career history from supporting sections.
  • Related details can be found in separate areas rather than one long sequence.
  • Skills, education and credentials remain easy to compare with experience information.

Best For

  • Two-column section organisation
  • Experience with supporting information
  • Quick section navigation
  • Skills and certification lists
  • Multi-section CVs
 
 

#6 Two Column Format CV Example

This two-column CV arranges information in distinct areas, giving reviewers a structured way to move between career and supporting sections.

 
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Why This Format Works

  • Separate columns create a clear route between experience and other CV sections.
  • Reviewers can locate skills and qualifications without scanning every career bullet.
  • Distinct content areas help keep education and credentials visible during a quick review.

Best For

  • Two-column reading preference
  • Career history with supporting sections
  • Quick access to qualifications
  • Separate skills and experience
  • Multi-section CV content
 

#7 Photo Header Two Column Format CV Example

This two-column CV includes a photo and separate content areas, combining a photo-inclusive style with divided sections.

 
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Why This Format Works

  • Two columns separate career information from supporting details for a structured scan.
  • Experience and skills can be reviewed in distinct areas of the CV.
  • Education and certifications remain accessible without interrupting the career-history sequence.

Best For

  • Photo-inclusive CVs
  • Two-column organisation
  • Career history and skills sections
  • Compact section navigation
  • Visual profile preference
 
 
 

Why Build Your AI Solutions Engineer CV with ResumeInMinutes

ResumeInMinutes helps you organise your AI delivery 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.

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

Choose a format that makes your technical evidence easy to follow. Keep the focus on practical AI solutions, well-tested integrations, responsible delivery and clear user guidance.

 

See Also

 

Frequently Asked Questions

Are these AI Solutions Engineer CV templates ATS-friendly?

The examples use clear headings and sections that are easy to scan. Include relevant terms naturally, such as AI solutions, large language models, workflow automation, Python, JavaScript, API integrations, testing and governance.

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

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

What should an AI Solutions Engineer CV include?

Include a focused summary, relevant experience, technical skills, education and certifications. Show how you analyse requirements, build applications or integrations, test results and support safe user adoption.

Which CV layout works well for an AI Solutions 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 important details.

How can I show AI solutions work on my CV?

Use concise bullet points to explain the need, your contribution and the result. Mention tools or methods such as Python, REST APIs, large language models, testing, access controls or user feedback when they relate to your work.

Should I include a photo on my CV?

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

ATS score and CV checks

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ATS Score 93%

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 27 (89%) · CV quality: 100%

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

Details
  • ✓Name present: Joshua Mitchell
  • ✓Email format: joshua.mitchell@example.com
  • ✓Phone format: 07700 90XXXX
  • ✓Experience 1: Job title: AI Solutions Engineer
  • ✓Experience 1: Company name: Northline Workflow Studio
  • ✓Experience 1: Work location: Leeds, West Yorkshire
  • ✓Experience 1: Employment dates: Feb 2023 - Present
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: Software Automation Engineer
  • ✓Experience 2: Company name: Beacon Ridge Digital
  • ✓Experience 2: Work location: Sheffield, South Yorkshire
  • ✓Experience 2: Employment dates: Jan 2020 - Jan 2023
  • ✓Experience 2: Description or achievements: Present
  • ✓Experience 3: Job title: Application Developer
  • ✓Experience 3: Company name: Fieldstone Software
  • ✓Experience 3: Work location: York, North Yorkshire
  • ✓Experience 3: Employment dates: Jul 2018 - Dec 2019
  • ✓Experience 3: Description or achievements: Present
  • ✓Experience 4: Job title: Junior Software Developer
  • ✓Experience 4: Company name: Alderwick Systems
  • ✓Experience 4: Work location: Harrogate, North Yorkshire
  • ✓Experience 4: Employment dates: Jul 2016 - Jun 2018
  • ✓Experience 4: 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
Joshua Mitchell
07700 90XXXX
joshua.mitchell@example.com
joshuamitchell
Leeds, West Yorkshire, LS6 2AB
SUMMARY
AI Solutions Engineer with 10 years’ experience delivering software, workflow automation and integrations for operational teams. Develop practical applications in Python and JavaScript, including recent large language model solutions that connect business needs with secure, usable tools. Elicit requirements from stakeholders, shape technical solutions and refine them through testing and user feedback. Partner with technical, operational, security and compliance colleagues to support responsible AI adoption, clear governance and safe user guidance. Prioritise useful releases and measurable productivity gains, and continue learning about emerging technologies.
EXPERIENCE
AI Solutions Engineer
Feb 2023 - Present
Northline Workflow Studio
Leeds, West Yorkshire
Delivered an internal LLM-assisted knowledge tool after mapping common information requests with operations and support stakeholders; connected the application to approved content sources and introduced access controls and review steps.
Built Python services and API integrations that brought AI capabilities into existing business workflows, reducing manual hand-offs while preserving established approval processes.
Established test cases for response quality, reliability and appropriate handling of sensitive information; used user feedback and performance checks to guide iterative improvements.
Worked with security and compliance colleagues to document governance controls, data access boundaries and deployment decisions, making the solutions easier to assess and maintain.
Ran demonstrations and practical guidance sessions for colleagues, helping technical and non-technical users adopt AI tools safely and understand when human review was needed.
Assessed emerging AI technologies against operational needs, security considerations and likely value, prioritising small, usable releases over experimental features without a clear purpose.
Software Automation Engineer
Jan 2020 - Jan 2023
Beacon Ridge Digital
Sheffield, South Yorkshire
Translated requests from finance, customer operations and service teams into automation specifications, then delivered workflow tools that removed repeated copying between business systems.
Developed JavaScript and Python applications, REST API connections and Power Automate flows, documenting integration behaviour so colleagues could support day-to-day use.
Introduced structured testing and user acceptance checks for workflow changes, catching permission and data-handling issues before releases reached operational teams.
Partnered with stakeholders to review adoption and exceptions after launch, adjusting automations where process changes or user feedback showed a more practical approach.
Application Developer
Jul 2018 - Dec 2019
Fieldstone Software
York, North Yorkshire
Developed PHP and JavaScript features for business applications, turning customer and internal requirements into maintainable updates with clear acceptance criteria.
Connected web applications to third-party services through APIs and improved error logging, helping support staff trace failed data exchanges more quickly.
Used code reviews, functional testing and release notes to improve the consistency of updates and give non-technical users clear guidance on changes.
Junior Software Developer
Jul 2016 - Jun 2018
Alderwick Systems
Harrogate, North Yorkshire
Built and tested small application enhancements in PHP and JavaScript under senior developer guidance, converting documented user requests into working interface and validation changes.
Investigated reported defects by reproducing user workflows, checking application logs and recording fixes, contributing to more reliable releases.
Prepared basic user instructions and gathered feedback after updates, helping the development team identify follow-up improvements to routine processes.
LEADERSHIP, AWARDS & RECOGNITION
Recognised by the Beacon Ridge Digital delivery team in 2022 for clear user guidance during the rollout of workflow automations.
Mentored junior colleagues on writing testable requirements and documenting API integrations, sharing practical guidance that supported consistent delivery.
EDUCATION
BSc (Hons) Computer Science
2016
University of Huddersfield
Huddersfield, UK
CERTIFICATIONS
Microsoft Certified: Power Platform Developer Associate (PL-400)
2022
Microsoft Certified: Azure AI Fundamentals (AI-900)
2024
TECHNICAL SKILLS
Programming Languages: Python, JavaScript, PHP
AI and Machine Learning: Azure OpenAI Service, OpenAI API, Hugging Face Transformers
Automation Platforms: Microsoft Power Automate, Azure Logic Apps, UiPath
Cloud Platforms: Microsoft Azure, Amazon Web Services, Google Cloud Platform
API Technologies: REST, OpenAPI, Postman
Web Technologies: HTML, CSS, JSON
Databases: Microsoft SQL Server, PostgreSQL, MySQL
Version Control: Git, GitHub, GitLab
Testing Tools: pytest, Jest, PHPUnit
Development Environments: Visual Studio Code, Visual Studio, PyCharm
Containers and Deployment: Docker, Kubernetes, Azure App Service
SKILLS
AI solutions
Large language models
Workflow automation
Application development
Requirements analysis
API integrations
Process analysis
Technical solution design
Testing and evaluation
Security and governance
Compliance
User adoption
Stakeholder communication
Problem-solving
Continuous learning
PROFESSIONAL AFFILIATIONS
Member, British Computer Society (BCS), contributing to professional development and engagement with the UK computing community.
Member, Association for Computing Machinery (ACM), engaging with an international professional community focused on computing and software development.

Matched keywords (24)

  • Delivered an internal LLM-assisted knowledge toolOriginal keyword in JD: AI-powered application development
  • workflow automation
  • AI technologies
  • Large language modelsOriginal keyword in JD: Large language models (LLMs)
  • API integrations
  • Developed JavaScript and Python applicationsOriginal keyword in JD: Software solution development
  • PythonOriginal keyword in JD: Python OR JavaScript OR PHP
  • Elicit requirements from stakeholdersOriginal keyword in JD: Business requirements analysis
  • Technical solution design
  • Automation Platforms
  • Established test cases for response quality, reliability and appropriate handling of sensitive information; used user feedback and performance checksOriginal keyword in JD: Testing and performance measurement
  • used user feedback and performance checks to guide iterative improvementsOriginal keyword in JD: Iterative solution refinement
  • introduced access controls and review stepsOriginal keyword in JD: Security practices
  • document governance controls, data access boundaries and deployment decisionsOriginal keyword in JD: AI governance
  • compliance
  • helping technical and non-technical users adopt AI tools safelyOriginal keyword in JD: Safe AI adoption
  • Stakeholder communication
  • Partner with technical, operational, security and compliance colleaguesOriginal keyword in JD: Cross-functional collaboration
  • Ran demonstrations and practical guidance sessions for colleaguesOriginal keyword in JD: User guidance and training
  • user feedback
  • delivered workflow tools that removed repeated copying between business systemsOriginal keyword in JD: Business process improvement
  • reducing manual hand-offsOriginal keyword in JD: Productivity improvement
  • Assessed emerging AI technologies against operational needs, security considerations and likely valueOriginal keyword in JD: Emerging technology evaluation
  • Continuous learning

Missing keywords (3)

  • Manual process analysis
  • AI solution deployment
  • Proactive problem-solving
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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