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7 AI Solution Architect - Agentic AI CV Templates with Example

By Ria · Last Updated On 21 October 2026
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This guide shows you how to create an AI Solution Architect - Agentic AI CV that presents your relevant evidence clearly. It explains how to organise your experience and choose a professional format that is easy to review.

A focused CV for this role should show how you design production-grade AI solutions and connect them with enterprise applications. Use clear experience bullets to explain work on AI assistants, multi-agent systems, retrieval-augmented generation (RAG), AWS services and LangGraph.

Compare the example presented in 7 layouts using the PNG image previews, then open a preferred example in the editor to customise it. This guide also covers ATS readability, useful CV sections and ways to present architecture decisions, team guidance and client demonstrations.

What Makes a Great AI Solution Architect - Agentic AI CV in 2026

A strong CV makes architecture work, production delivery and technical leadership easy to scan. Use concise bullets to show how designs connect AI capabilities with business applications.

Include relevant terms such as AWS Bedrock, Lambda, Step Functions, LangGraph and RAG where they match your work. Add clear evidence of design decisions, team guidance and client demonstrations.

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

Simple One Column Format keeps the CV in one column, giving its sections a direct reading order.

 
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Why This Format Works

  • Career history can follow a clear sequence, helping reviewers trace progression from role to role.
  • A single reading path keeps experience and its achievement bullets together for review.
  • Education and credentials fit into the same straightforward section order.

Best For

  • Sequential career histories
  • Continuous reading order
  • Experience-led CVs
  • Several sections in one sequence
  • Single-column reading preference

CV Keywords

  • solution architecture
  • Agentic AI
  • Delivered production-grade Generative AI assistants using AWS Bedrock, AWS Lambda and AWS Step Functions
  • AWS
  • AWS Bedrock
  • AWS Lambda
  • AWS Step Functions
  • AI agents
  • multi-agent systems
  • implemented LangGraph orchestration for multi-agent systems, defining agent hand-offs and controlled autonomous workflows
  • retrieval-augmented generation
  • LangGraph
  • Generative AI
  • Led technical design reviews and coached developers on cloud patterns
  • architecture decisions
See all keywords
 

#2 Simple Two Column Format CV Example

Simple Two Column Format divides the CV into two columns, giving readers separate areas to review.

 
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Why This Format Works

  • Distinct column areas separate career history from other CV sections during review.
  • The two-column structure lets reviewers compare sections without following one long vertical sequence.
  • Experience and education can each have a clear place in the overall layout.

Best For

  • Side-by-side section review
  • CVs with varied content
  • Compact section organisation
  • Readers who scan by category
  • Two-column reading preference

#3 Plain One Column with Shaded Labels CV Example

Plain One Column with Shaded Labels uses one column, keeping the CV's reading order straightforward.

 
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Why This Format Works

  • The single-column flow keeps experience and education within one consistent reading route.
  • Reviewers can follow career progression without moving between separate columns.
  • Skills and credentials remain within the same clear sequence of CV sections.

Best For

  • Straightforward section order
  • Chronological work histories
  • One-column CV reading
  • Experience and education together
  • Readers who prefer a linear layout
 

#4 One Column Format with Photo Right CV Example

One Column Format with Photo Right presents a single-column CV with a portrait for readers who want a photo included.

 
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Why This Format Works

  • A single reading path keeps career history together as reviewers move through roles.
  • The column structure lets experience bullets remain in one continuous review area.
  • Education and credentials can follow the work history in the same reading sequence.

Best For

  • CVs that include a portrait
  • One-column reading preference
  • Sequential career histories
  • Experience-focused CVs
  • Single-path section review
 

#5 Clean Two Column Sidebar Format CV Example

Clean Two Column Sidebar Format organises the CV in two columns, keeping different sections in distinct areas.

 
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Why This Format Works

  • The two-column arrangement gives career history and supporting sections separate areas.
  • Reviewers can locate education without tracing the full work-history sequence.
  • Skills and credentials can be reviewed apart from experience details.

Best For

  • Separate section areas
  • CVs with several content types
  • Quick section navigation
  • Independent review of skills and experience
  • Two-column layouts
 
 

#6 Two Column Format CV Example

Two Column Format uses two columns to place CV information in separate areas for a more compact review.

 
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Why This Format Works

  • Separate columns help reviewers move between experience and other CV sections.
  • Career progression remains distinct from supporting details during a quick review.
  • Education and credentials have room apart from the work-history content.

Best For

  • Compact information organisation
  • Separate experience and supporting details
  • CVs with varied sections
  • Readers comparing information areas
  • Two-column presentation
 

#7 Photo Header Two Column Format CV Example

Photo Header Two Column Format combines two CV columns with a portrait for a layout that includes a photo.

 
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Why This Format Works

  • The two-column layout separates experience from other sections for easier navigation.
  • Reviewers can follow work history while keeping supporting sections in view.
  • Education and skills can be organised apart from career details.

Best For

  • CVs that include a portrait
  • Side-by-side section organisation
  • Separate career and supporting details
  • Readers who scan by section
  • Two-column reading preference
 
 
 

Why Build Your AI Solution Architect - Agentic AI CV with ResumeInMinutes

ResumeInMinutes helps you organise architecture 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.

  • Professional 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 architecture work easiest to follow. Keep the focus on production-grade AI delivery, enterprise integration and practical technical guidance.

 

See Also

 

Frequently Asked Questions

Are these AI Solution Architect - Agentic AI CV templates ATS-friendly?

The examples use readable headings and clear sections to support scanning. Include relevant terms naturally, such as Agentic AI, AWS Bedrock, AWS Lambda, AWS Step Functions, LangGraph and retrieval-augmented generation.

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 Solution Architect - Agentic AI CV include?

Include a focused summary, relevant experience, skills, education and certifications. Show evidence of production AI delivery, agent orchestration, RAG design, enterprise integration, architecture decisions and stakeholder demonstrations.

Which CV layout works well for this role?

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 Agentic AI achievements on my CV?

Use concise bullet points to explain the solution, your contribution and its result. Describe relevant work with multi-agent systems, AI assistants, AWS services or LangGraph, and include supported measures where available.

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 evidence of your work instead.

ATS score and CV checks

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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: 25 of 25 (100%) · CV quality: 100%

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

Details
  • ✓Name present: Joshua Patel
  • ✓Email format: joshua.patel@example.com
  • ✓Phone format: 07700 90XXXX
  • ✓Experience 1: Job title: AI Solution Architect
  • ✓Experience 1: Company name: LatticeBridge Consulting
  • ✓Experience 1: Work location: London, UK
  • ✓Experience 1: Employment dates: Sep 2023 - Present
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: Cloud Solution Architect
  • ✓Experience 2: Company name: Morrow Systems
  • ✓Experience 2: Work location: Bristol, UK
  • ✓Experience 2: Employment dates: Apr 2019 - Aug 2023
  • ✓Experience 2: Description or achievements: Present
  • ✓Experience 3: Job title: Senior Cloud Architect
  • ✓Experience 3: Company name: Cedarline Technology
  • ✓Experience 3: Work location: Manchester, UK
  • ✓Experience 3: Employment dates: Jan 2015 - Mar 2019
  • ✓Experience 3: Description or achievements: Present
  • ✓Experience 4: Job title: Solutions Architect
  • ✓Experience 4: Company name: BluePeak Systems
  • ✓Experience 4: Work location: Leeds, UK
  • ✓Experience 4: Employment dates: Jun 2012 - Dec 2014
  • ✓Experience 4: Description or achievements: Present
  • ✓Experience 5: Job title: Software Engineer
  • ✓Experience 5: Company name: Meridian Software
  • ✓Experience 5: Work location: Nottingham, UK
  • ✓Experience 5: Employment dates: Aug 2010 - May 2012
  • ✓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
Joshua Patel
07700 90XXXX
joshua.patel@example.com
joshuapatel
London, Greater London, SW18 2QH
SUMMARY
AI Solution Architect with 16 years of experience designing enterprise technology across consulting and product settings, with recent focus on production-grade Generative AI and Agentic AI on AWS. Translate complex needs into scalable architectures and connect AI capabilities with enterprise applications. Deliver assistants, multi-agent systems and retrieval-augmented generation solutions using Bedrock, Lambda, Step Functions and LangGraph. Guide engineering teams through architecture decisions, present demonstrations to senior stakeholders and assess emerging technologies and frameworks. Earlier software engineering and cloud architecture experience informs practical designs for enterprise delivery.
EXPERIENCE
AI Solution Architect
Sep 2023 - Present
LatticeBridge Consulting
London, UK
Shapes enterprise AI solution architectures for client programmes, turning complex operational requirements into production designs that connect cloud services with existing business applications.
Delivered production-grade Generative AI assistants using AWS Bedrock, AWS Lambda and AWS Step Functions, creating managed pathways from user requests through model responses and enterprise actions.
From 2024, implemented LangGraph orchestration for multi-agent systems, defining agent hand-offs and controlled autonomous workflows for client use cases that required coordinated task execution.
Designed RAG architectures using enterprise content sources and retrieval components, helping client teams provide assistants with relevant, attributable information rather than relying on model responses alone.
Presented working demonstrations and architecture options to senior client stakeholders, explaining business value, delivery trade-offs and the operational considerations behind proposed solutions.
Evaluates emerging AI technologies, frameworks and industry trends, translating findings into practical recommendations for engineering teams and client solution roadmaps.
Cloud Solution Architect
Apr 2019 - Aug 2023
Morrow Systems
Bristol, UK
Designed AWS application architectures for financial and customer-service platforms, aligning scalability, resilience and integration needs with product and operational requirements.
Introduced AWS Lambda and Step Functions into selected application workflows, replacing tightly coupled task sequences with maintainable event-driven processing.
Worked with product owners and software teams to convert service requirements into architecture diagrams, interface specifications and implementation plans for enterprise applications.
Led technical design reviews and coached developers on cloud patterns, helping teams resolve integration and deployment risks before production releases.
Senior Cloud Architect
Jan 2015 - Mar 2019
Cedarline Technology
Manchester, UK
Developed cloud migration designs for business-critical applications, mapping dependencies and sequencing workloads to support controlled transitions to AWS.
Established reusable architecture patterns for application integration, data movement and service monitoring, giving delivery teams a consistent basis for implementation.
Partnered with engineering and business stakeholders to assess operational constraints, document design decisions and agree practical service transition plans.
Supported delivery teams through technical reviews and production readiness assessments, identifying reliability and support concerns ahead of launch.
Solutions Architect
Jun 2012 - Dec 2014
BluePeak Systems
Leeds, UK
Produced solution designs for customer-facing software implementations, connecting application requirements with existing databases, identity services and operational processes.
Facilitated requirements sessions with client teams and converted agreed needs into functional architecture documents and delivery milestones.
Coordinated implementation questions across developers, testers and client contacts, resolving integration issues and supporting successful service handovers.
Software Engineer
Aug 2010 - May 2012
Meridian Software
Nottingham, UK
Built and tested application features for business software products, using documented requirements and code reviews to deliver maintainable changes.
Investigated defects across application and database components, recording findings clearly and helping the team prepare reliable releases.
Created technical notes and supported deployment checks, developing a foundation in software delivery that informed later solution architecture work.
LEADERSHIP, AWARDS & RECOGNITION
Recognised by a client delivery team in 2025 for clear architecture guidance and practical AI solution demonstrations.
Mentors cloud and AI engineers through design reviews and knowledge-sharing sessions, helping colleagues develop sound architecture judgement.
EDUCATION
BSc Computer Science
2010
University of Leicester
Leicester, UK
CERTIFICATIONS
AWS Certified Solutions Architect - Professional
2022
AWS Certified Machine Learning - Specialty
2024
AWS Generative AI for Developers training
2024
TECHNICAL SKILLS
AWS Services: AWS Bedrock, AWS Lambda, AWS Step Functions
Cloud Platforms: Amazon EC2, Amazon S3, Amazon RDS
Agent Frameworks: LangGraph, LangChain, Amazon Bedrock Agents
Programming Languages: Python, Java, TypeScript
API Technologies: REST, GraphQL, OpenAPI
Data Stores: PostgreSQL, MySQL, Amazon DynamoDB
Search Technologies: Amazon OpenSearch Service, Elasticsearch, FAISS
Infrastructure Tools: AWS CloudFormation, Terraform, AWS CDK
Containers: Docker, Kubernetes, Amazon ECS
Monitoring Tools: Amazon CloudWatch, AWS X-Ray, Prometheus
SKILLS
Solution architecture
Enterprise AI
Generative AI
Agentic AI
AWS cloud
AI agents
Multi-agent systems
LangGraph
RAG architecture
AI assistants
Workflow automation
Application integration
Technical leadership
Client demonstrations
Architecture evaluation
PROFESSIONAL AFFILIATIONS
Member, AWS User Group London, engaging with the local cloud architecture community.
Member, British Computer Society, participating in professional computing and technology forums.
LANGUAGES
English (Native)
French (Intermediate)

Matched keywords (25)

  • solution architecture
  • Agentic AI
  • Delivered production-grade Generative AI assistants using AWS Bedrock, AWS Lambda and AWS Step FunctionsOriginal keyword in JD: Production-grade AI solutions
  • AWS
  • AWS Bedrock
  • AWS Lambda
  • AWS Step Functions
  • AI agents
  • multi-agent systems
  • implemented LangGraph orchestration for multi-agent systems, defining agent hand-offs and controlled autonomous workflowsOriginal keyword in JD: Autonomous systems
  • Delivered production-grade Generative AI assistants using AWS Bedrock, AWS Lambda and AWS Step FunctionsOriginal keyword in JD: AI-powered assistants
  • implemented LangGraph orchestration for multi-agent systems, defining agent hand-offs and controlled autonomous workflowsOriginal keyword in JD: Intelligent workflow automation
  • retrieval-augmented generationOriginal keyword in JD: Retrieval-augmented generation (RAG)
  • LangGraphOriginal keyword in JD: LangGraph OR comparable agent orchestration framework
  • Generative AI
  • Led technical design reviews and coached developers on cloud patternsOriginal keyword in JD: Engineering team guidance
  • architecture decisions
  • connect cloud services with existing business applicationsOriginal keyword in JD: Enterprise application integration
  • Partnered with engineering and business stakeholdersOriginal keyword in JD: Business and technology stakeholder partnership
  • Presented working demonstrations and architecture options to senior client stakeholdersOriginal keyword in JD: Client solution demonstrations
  • explaining business value, delivery trade-offs and the operational considerations behind proposed solutionsOriginal keyword in JD: Business value communication
  • Evaluates emerging AI technologiesOriginal keyword in JD: Emerging AI technology assessment
  • frameworksOriginal keyword in JD: AI framework assessment
  • industry trendsOriginal keyword in JD: Industry trend assessment
  • Led technical design reviews and coached developers on cloud patternsOriginal keyword in JD: Technical practice development

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
 
 
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