How to Write an Artificial Intelligence Resume (Step by Step with Examples)

With skills for AI-exposed jobs changing 66 percent faster than for other jobs [1], creating an artificial intelligence resume that showcases your capabilities can help you stand out from other job candidates.

Discover how to write an effective AI resume, general resume-building tips, and resources for expanding your AI skills. 

How to build your artificial intelligence resume

Potential employers are looking for your experiences, skills, and accomplishments that show your proficiency in artificial intelligence and can help them decide whether you would be a good fit for a specific position.

You’ll want to review your experience to include skills specific to artificial intelligence, such as programming languages like Java and C++, machine learning models, or AI security. It’s also important to have workplace skills such as communication, problem-solving, and collaborative skills.

Learn how you can put these skills together in a knowledgeable and visually pleasing way to get the attention of hiring managers and potentially land a job in AI.

Step 1: Create an AI resume template.

The first step to showcase your AI skills is deciding on the template you want to use for your resume. A few options for you to consider include:

• Chronological resume: A chronological resume focuses on your previous experience, starting with your most recent experience and moving down to older positions while highlighting your responsibilities. This is a great format to choose if you have previous experience using AI skills professionally.

• Functional resume: A functional resume focuses on your skills rather than your previous experience. It showcases what you know that could be important for AI positions. Consider this option if you’re a recent graduate or just starting in the field of artificial intelligence.

• Combination resume: A combination resume covers the best of both a chronological resume and a functional resume by highlighting the skills you used in previous jobs. Be careful with this type of resume, as it can get long. Many employers prefer you to stick to two pages at most for your resume.

Step 2: Fill in your basic AI resume essentials.

One of the most important pieces of information you’ll want to include is your contact information so potential employers can reach out if they’re interested in your work. Add your name, phone number, and email address to your resume, as well as the city and state you live in, if a position is location-dependent.

Also include a link to a website or online portfolio with examples of your AI work to showcase your previous projects or your AI skills.

Step 3: Add your resume summary.

A summary at the top of your resume is a good way to introduce yourself to hiring managers and potential employers. Include only a few sentences to summarize your experience in artificial intelligence, the industries you worked in, or your particular skills for a position.

If you have AI experience, this is a good place to present your previous work. If you're a recent graduate or entering the field of AI, focus on your skills or the types of positions you’re interested in pursuing.

Step 4: Showcase your AI skills.

Use your resume to show off your AI skills by including them in the job descriptions for your previous experience or in a separate section for your skills. An important way to highlight your AI skills and show you are qualified for the role you're applying for is to include keywords from the job listing that match your skills and experience. Some examples of in-demand AI skills include:

• Programming languages: Programming skills could include Python, Java, R, and C++.

• Machine learning: This could include experience with building and understanding model training and algorithms needed for AI to carry out tasks.

• Data management: This skill involves understanding big data concepts and data modeling, warehousing, and processing. 

• Natural language processing (NLP): NLP uses AI to understand and respond with natural, human-like language for AI models like ChatGPT.

It’s also important to have human skills such as communication, problem-solving, and collaboration when working in the AI field.

Step 5: Include your professional experience.

Your previous work experience can show potential employers what you bring to a position, such as the skills you’ve learned on the job, the industries you’re familiar with, or the experience you’ve had.

It’s important to include the names of the companies and organizations where you worked, your job titles, and the dates you worked there. After that, you could focus on the highlights of your time in each position, emphasizing the skills you learned or your accomplishments there.

Step 6: Feature your certifications and awards.

Certifications are a good way to showcase your existing knowledge and your willingness to learn new skills or information about changes in the field of AI. You can earn certificates for a variety of AI topics from various artificial intelligence organizations and institutes, or become certified through providers like Microsoft or AWS.

Examples of AI industry-recognized certifications:

• Google Cloud Generative AI Leader

• AWS Certified AI Practitioner

• Microsoft Certified: Azure AI Fundamentals

• Microsoft Certified: Azure AI Engineer Associate

• USAII Certified AI Transformation Leader (CAITL)

• USAII Certified Artificial Intelligence Engineer (CAIE)

This is also a good section to include awards you’ve received through AI competitions or accomplishments recognized as part of your employment.

Step 7: Include your education.

Education plays an important role in landing a job, especially if you’re a recent graduate. Include your educational background, such as the school you attended, your degree and major, GPA if it is above 3.5, and any honors or other relevant information.

Your degree can be a factor for potential employers in the field of artificial intelligence. For an artificial intelligence specialist, for example, 63 percent of workers in the position have a bachelor’s degree, while an additional 17 percent have a master’s degree [2]. The most common majors for AI jobs are computer engineering, computer science, electrical engineering, and mechanical engineering.

Jobs using AI skills

Every industry is increasing its use of AI, according to PWC's 2025 Global AI Jobs Barometer, and much of the impact is very positive, including triple the growth in revenue per worker in industries more exposed to AI [1]. If you have AI skills, your wage premium is 56 percent higher than that of your coworkers who have the same job but don't have AI skills [1]. This salary increase is up from 25 percent in 2024 [1]. 

The US Bureau of Labor Statistics (BLS) expects computer and information technology jobs like those working with AI to grow much faster than average between 2023 and 2033 [2]. It predicts that one reason for the demand will be AI and the need to keep up with the creation of new technologies related to the field. Still better, employers outside of the tech industry are also looking for AI-skilled employees, including those in marketing, sales, product development, professional services, media, health care, and more.

AI skills can be used in a variety of jobs and industries depending on your education, experience, skills, and other relevant information. Some common AI positions and their median total salaries include:

• Artificial intelligence analyst: $134,000

• Machine learning engineer: $120,037

• AI software engineer: $156,000

• AI engineer: $136,000

• Robotics engineer: $138,000

• Computer vision engineer: $159,000

• Algorithm developer: $196,000

• Big data engineer: $141,000

However, jobs in all industries are impacted by AI, and those with the most demand for developing AI skills include [4]: 

• Software developer: $120,000

• Personal financial advisor: $188,000

• Database architect: $163,000

• Financial analyst: $106,000

• Electrical engineer: $119,000

• Electronics engineer: $132,000

• Aerospace engineer: $162,000

• Lawyer: $198,000

*All the salaries above represent the median total pay from Glassdoor as of July 2025. These figures include base salary and additional pay, representing profit-sharing, commissions, bonuses, or other compensation.

Key takeaways

• Decide which format is the best fit for your skills.

• Include information that’s important to potential employers, such as education, certifications, work history, and how to reach you.

• Review your skills to ensure they match the job description and use them as keywords for searches.

• Limit the length of your resume to no more than two pages.

Resources for general resume-building tips

Use these additional resources to refine your AI resume: 

• Crafting Your Resume Objective 

• How to Write a Resume with No Experience: 5 Helpful Steps

• How to Write a Resume Summary + Examples

• Types of Resumes: Choosing the Right Format for Your Needs

• Resume Sections: Key Categories and What to Include to Stand Out

• 13 Ways to Strengthen + Enhance Your Resume to Stand Out as an Applicant

Earn a certificate for your AI resume on Coursera

It’s important to learn about different artificial intelligence topics and build on your AI skills with continuing education and certifications to stay on top of industry changes and show your willingness to learn new things about the AI field.

Consider Generative AI for Everyone with Deeplearning.AI on Coursera, what generative AI is and how it works, its common use cases, and what this technology can and cannot do. You can also learn about different careers in AI with the IBM AI Engineering Professional Certificate or IBM AI Developer.