Can you effectively use AI as a tool to help you complete your assignments at work? Maybe it’s time to let recruiters know!
Not only can relevant skills in AI help you with your work, but they can improve your productivity. And hiring managers know it. That’s why it’s essential to add artificial intelligence to your resume-building strategy by including relevant AI skills.
In today’s evolving job market, including artificial intelligence (AI) knowledge alongside soft skills on your resume can give you a competitive advantage when applying for work.
So, exactly where and how can you add generative AI skills to your resume?
We consulted 3 experts from the tech recruitment sector, who gave us some advice to help you succeed with your job applications.
In this guide, we’ll answer your questions by going over what artificial intelligence skills are, the top AI keywords for your resume, ChatGPT skills, what to write if you have no professional experience, and different resume examples to review.
These tips can ultimately help you create your application in minutes with the help of ResumeCoach’s AI resume builder and the skill generator AI.
Keep reading to find out exactly how to show off your AI knowledge and technical skills.
What Are AI Skills and Why You Should Include Them
To put it simply, AI skills are abilities and knowledge used to manage tools that are based on artificial intelligence.
You might be wondering why they should be added to your resume if you have a solid list of key skills for your resume already.
Matt Luensmann, Owner & Lead Technical Recruiter at MJL Recruiting & Consulting with 8 years of experience in the sector, emphasizes the importance of adding AI skills to a resume.
“Putting AI skills on your resume shows you are keeping up with technology,” Luensmann said.
“It all has to do with what is most important to the position. If it’s AI-related skills, then I weigh them more heavily.”
Below, we dive into 2 reasons why you should include skills that are specifically AI-related, especially if you are in the technology industry. These are also relevant if you are moving from a federal role to the private sector, especially in areas like cybersecurity.
1. AI skills are important to employers
Employers and recruiters often look for AI knowledge on a resume, especially ChatGPT skills and other machine learning qualifications.
According to a study by Pluralsight, including artificial intelligence skills and experience on your resume can give you an edge in the job market.
The study found that 97% of organizations have benefited from using AI technologies, indicating a growing demand for AI skills.
2. AI skills are trending
The demand for AI skills in the job market is rapidly increasing as more companies adopt advanced technologies. The Deloitte State of AI report found that 79% of companies are planning for generative AI to drive substantial transformation within their organization, business outcomes, and industry.
LinkedIn’s Future of Work Report also highlights the growing importance of AI skills to business leaders, as the study found that 47% of executives in the U.S. think that “using generative AI will increase productivity.”
Top AI Skills to Include on Your Resume
In most cases, knowing which skills to highlight comes down to the job description. Properly reading the job description is key when you apply for any position during your job search.
Suppose the job description states that AI knowledge is important. It’s essential to include it in your resume, says Jeremy Schifeling, the Founder of The Job Insiders and the official AI for Careers trainer from Stanford to Harvard Business School.
Schifeling gives this advice: “If you do see a lot of AI terms in the job description (e.g., ‘generative AI’ or ‘prompt engineering’), you should strive to match those by either connecting your existing skills or quickly upskilling.”
So, typically, which AI skills stand out to recruiters on a resume?
According to the 2025 AI Index Report from Stanford University, some of the top generative AI skills that are increasingly appearing in job postings include:
- Prompt engineering: The ability to design effective prompts and instructions for generative AI models to produce desired outputs.
- Generative artificial intelligence: Proficiency in building and fine-tuning generative AI models using frameworks like GPT-3, DALL-E, and Stable Diffusion.
- ChatGPT: Using ChatGPT for natural language processing tasks, including conversational agents, text generation, and more.
- Large language modeling: This is a deep understanding of large language models (LLMs) like GPT-3 and GPT-4, including their training and fine-tuning.
- Retrieval-augmented generation: This involves optimizing and updating the outputs of LLMs to make them more relevant to the user.
- Variational Autoencoders: This skill is essential for tasks involving complex data representation and generation.
- Generative adversarial networks: Mastery of using GANs for tasks such as image generation, data augmentation, and more.
Other tech skills to include in your resume
Other tech skills can also appear in a job listing. According to the AI Index Report, these skills are featured 3 or 4 times more in job postings than 10 years ago:
- Python
- Computer Science
- SQL
- AWS
- Data analysis
Luensmann says that in his recruiting experience, machine learning skills, NLP (natural language processing), deep learning, algorithms, data mining, Apache Spark, Statistics, Data Science, and Computer Vision are all in high demand.
While skills such as programming languages are key for certain tech jobs, they do not need to be a major focus if the job isn’t AI-centered.
“If you’re excited to apply to a specific job, and it doesn’t mention anything about AI, please don’t bend over backward to try to cram AI into your resume,” says Schifeling.
Use AI Resume Keywords When Describing Your Skills
By adding the right skills, you’ll be able to include the right AI keywords for your resume.
Why are keywords important? Well, using the right keywords can help your resume successfully pass through Applicant Tracking Systems (ATS) and catch the attention of recruiters.
To select the best keywords, they should tie into the rest of your resume.
Sonja Hastings, Senior Software & Technology Sales Recruiter from Optimal Sales Search tells us “If a sales rep decides to list their tech stack somewhere on their resume, I expect to see ChatGPT listed in the stack along with Salesforce and other tools like Outreach, HubSpot, or SalesLoft.”
Here are some tips for effectively using AI keywords in your resume:
- Look for terms like machine learning, natural language processing, TensorFlow, PyTorch, and other AI-related terms.
- Incorporate the identified keywords naturally throughout your resume, including in your skills section, work experience descriptions, and personal project highlights.
- Mirror the language and terminology used in the job description as closely as possible, as the ATS may be scanning for exact keyword matches.
- Use industry-specific AI terminology to demonstrate your domain expertise and familiarity with the latest AI trends and best practices in your field.
- Focus on the AI keywords most relevant to the specific job and company, rather than stuffing your resume with every AI term possible.
You can follow the example below to help you understand exactly how to add specific AI keywords.
Imagine you see a job description for a machine learning engineer position, with responsibilities including developing and implementing machine learning models using TensorFlow and PyTorch.
Your work experience entry should look something like the example below.
Experience
Machine Learning Engineer
ABC Tech Solutions
January 2021 – Present
- Developed and implemented machine learning models for predictive analytics, enhancing forecasting accuracy by 20%.
- Collaborated with cross-functional teams to integrate AI solutions into existing systems, streamlining operations and improving efficiency.
- Optimized machine learning models using TensorFlow and PyTorch, resulting in a 15% increase in model performance.
How to Fit Artificial Intelligence Skills into Your Resume Sections
When starting to think about where and how to show off AI skills on a resume, Hastings has this sound advice for us. “AI skills don’t need to be called out all over your resume. It’s best to mention them in appropriate sections.”
“Remember, AI is a tool that everyone wants to use, and no one wants to experience,” she adds. “For example, you may use AI to craft an email, write a blog post, or outline a presentation, but your audience doesn’t want to feel like they are receiving AI-generated communication.”
When weaving your expertise through the different sections of your resume, it’s important not to just spam AI keywords in your application.
You’ll need to mention how you used your skills, what they are, and your level.
Let’s take a look at how to add AI to your resume in the different sections.
Add AI expertise to your resume summary
Mentioning your AI skills in your resume summary, which is your introduction, is a great way to capture a hiring manager’s attention immediately.
When crafting your summary, briefly highlight your proficiency in the most relevant AI technologies for the role. This could be generative AI, machine learning, natural language processing, or computer vision, for example.
That means when writing your summary, use quantifiable data and be specific, for example:
Data Scientist
Data Scientist with 5+ years of experience leveraging machine learning and deep learning to develop predictive models that increased customer retention by 20%. Proficient in Python, TensorFlow, and PyTorch.
If you have limited experience, you can focus on your relevant goals, AI-related projects, and any relevant training you have completed.
Mention your experience using AI skills
When describing your work experience, it’s important to talk about how you applied AI skills to real-world projects and the impact you made.
When discussing AI experience, Schifeling underlines, “If you have some experience with AI, just make sure to get credit for it.”
That means using specific examples with quantifiable details and strong action verbs to emphasize your AI abilities in practice.
Schifeling goes on to give us an example, “You could take a humdrum resume bullet like ‘Generated new marketing strategies’ and add in an AI layer like so: ‘Utilized prompt engineering and generative AI models to develop 7 new powerful marketing strategies, leading to a 25% increase in leads generated.’ And when in doubt, just use AI to help you reframe your existing bullets (e.g., [prompt] ‘Suggest 3 ways to add more AI keywords into the following bullet.’).”
For each relevant role, include a bulleted list that details how you used AI tools to improve results. Quantify your results whenever possible by including data, for example:
Experience
- Developed a machine learning model using Python and scikit-learn to predict customer churn, resulting in a 25% reduction in attrition rates.
- Implemented a natural language processing pipeline using NLTK and SpaCy to analyze customer feedback, enabling data-driven product improvements that increased satisfaction scores by 15%.
- Created a computer vision system with OpenCV and TensorFlow to automate quality control, improving defect detection accuracy by 30% and reducing manual inspection time by 50%.
“If you follow the STAR method of writing resume bullets (Situation, Action, Results), AI can be incorporated in the action segment,” adds Hastings.
She goes on to give more examples relevant to the tech sales sector:
Experience
- Partnered with Marketing to revamp prospecting email cadence and increased open rate by 35% using A/B testing, ChatGPT, and Outreach.
- Reduced high appointment no-show rate by 33%. Developed email cadence from scratch, creating high-performing sequences with ChatGPT and continuously applying A/B testing based on data validation.
This helps recruiters understand the value and technical prowess that you can bring to their organization.
Education, training, and certifications in AI
By adding relevant courses and certifications, it will be much easier to highlight that you are trained to use artificial intelligence correctly.
Schifeling advises, “The most important thing about courses and certifications is usually not the credential itself—but the fact that the course title includes the most important keywords that Applicant Tracking Systems (ATS) are looking for.”
“If you take a course like ‘Advanced Prompt Engineering for LLMs,’ you’ll absolutely want to include that under your Education section. Not because a recruiter will care about the given course, but because the ATS will see that you match with some of the critical keywords straight from the job description – i.e., ‘prompt engineering’ and “LLMs.”
To show off your AI-based education and training, you can include your credentials in an education section just like the one below.
Education
Bachelor of Science in Computer Science
Massachusetts Institute of Technology (MIT)
May 2021
- Senior Project: “Predictive Analytics in Healthcare Using Large Language Models“
Certifications
- Deep Learning Specialization | Coursera, deeplearning.ai | Completed: March 2022
- Professional Certificate in Machine Learning and Artificial Intelligence | edX, Columbia University | Completed: December 2021
Include an AI skills section
When creating an AI skills section, focus on highlighting the specific AI technologies, tools, and techniques you are trained in. Especially if they align with the job description.
Specify your level of proficiency for each of your technical skills. Such as “Advanced,” “Proficient,” or “Familiar,” to give employers a clear understanding of your skill set.
AI Skills
- Generative AI tools: Proficient (ChatGPT, Gemini)
- SEO optimization: Advanced (SurferSEO, Gemini)
- Marketing analytics: Proficient (Hootsuite)
- Data analysis: Proficient (Google analytics, Tableau)
How To Add AI Skills to Your Resume With No Experience
If you’re just starting out as a professional, don’t worry. Even as an entry-level applicant, you can still list your artificial intelligence-based skills on your resume.
As Hastings tells us, “AI recently debuted as a mainstream tool, so if you’re still new at it, don’t worry; so is everyone else. Putting AI skills on your resume shows you are keeping up with technology, open to learning, and interested in boosting your own personal productivity. Any employer would want this in an employee.”
If you haven’t had any professional or internship experiences, follow the tips below to make sure a recruiter knows you can be successful using AI:
- Highlight relevant coursework and projects from AI-related courses, stressing the techniques and tools used and outcomes achieved.
- Include personal AI projects, such as hackathons, open-source contributions, or your own applications, describing the goals, methods, and results.
- Emphasize transferable skills like programming (Python, R), data analysis, and problem-solving that demonstrate your potential to learn and apply AI.
Schifeling has more advice for AI newbies. “If you don’t have any experience with AI, just start using it immediately. Take the tasks that you have to work on and feed them into ChatGPT (e.g., ‘How can I tackle X project?’) to get a sense of how they work. And then start experimenting with tools like Amazon’s PartyRock platform to build your own AIs with custom prompts. Within a few hours, you’ll have experience you can start to cite on your resume!”
For example, under a “Projects” section, you might write:
Projects
Developed a machine learning model using TensorFlow to predict housing prices, achieving 95% accuracy. Participated in a hackathon where our team created an AI-driven chatbot for customer service, which won first place.
As Luensmann summarizes, “If [candidates] highlight their drive to learn and improve independently, that’s a big win in every department.”
Key Takeaways About AI Skills for a Resume
Knowing how to add AI to your resume is crucial for standing out in today’s job market. It’s essential to know where and how to include each skill in your application.
Here are the main points to remember when doing so:
- Identify the most in-demand AI competencies, such as machine learning and natural language processing, and highlight them throughout your resume.
- Provide concrete examples of how you’ve applied AI to real-world projects, quantifying your impact.
- Highlight relevant coursework, projects, and transferable skills to demonstrate your potential if you’re a beginner.
- Tailor your resume to the specific AI role, incorporating relevant keywords.
As the demand for artificial intelligence grows, developing and highlighting AI skills can open up exciting opportunities and position you as a valuable candidate.
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