3 Things You Need To Break Into AI Jobs In 2025
A job in artificial intelligence is one of the most coveted careers in 2025. Google searches for 'AI jobs' have surged from a mere 53 points to 88 points over the past 12 months, according to Google Trends data.
And it's pretty easy to figure out why. AI jobs have rapidly surged in popularity, especially since the AI boom in late 2022, when ChatGPT was released. From that time on, almost every startup is AI-focused, venture capital has poured millions into this technology, and most forward-thinking and innovative companies want to implement AI into their workflows and operations.
Additionally, leading AI roles such as data scientist and machine learning and engineer have reported eye-watering salaries of as much as up to $1 million, particularly at Silicon Valley key players like OpenAI. Even at other companies, these, as well as enterprise tech sales, have secured salaries of as much as $200,000.
But what does it take to secure one of the most coveted jobs in tech? How can you land a role at an exciting startup or within a tech company ready for change?
Jobright analyzed AI jobs this year and discovered that the top five AI roles for new grads are:
The numbers assigned to each role represent the actual number of job openings available in the U.S., based on Jobright researchers analyzing roles posted by private U.S. companies who are listed on Crunchbase.
One might be puzzled as to why the figure for the number of job openings for entry-level AI roles is so low. That's because, according to their report, only about 15% of AI jobs are junior or entry-level; a full 85% of all job postings are senior, mid-level, or require specialist and niche expertise.
So while getting an AI-enabled job (like a role in marketing that requires you to have applied AI skills) is far easier and more tangible, landing a role as an ML engineer when just starting your AI career is going to prove quite difficult.
Here are a few things you can do to smooth the process:
Internships are a great way to build experience and to practically apply what you've learned through your college studies. It helps strengthen your confidence and introduces you to the world of work as well as introducing you to the new industry you'll be spending most of your time in for the rest of your career.
More than this, it's a time to flex not only your technical skills but also your human or power skills such as communication, empathy, and problem solving. These prove useful to add to your resume especially when applying for roles at fast-scaling startups who need evidence or proof of your adaptability, eagerness to learn, and ability to get the job done and flex fast.
Earn your microcredentials and learn specific niche skills to boost your hireability. Jobright recommends looking beyond the basics and strengthening your skills in ML-annotation, backend, infra, and optimization, as well as PyTorch and TensorFlow frameworks.
Additionally, focus on complementary 'soft' or power skills, like problem-solving, critical thinking, creativity, and adaptability, which employers deem as being in even greater demand than AI skills, according to an AWS survey.
Even if you don't have any projects you've worked on from a job, you can build your own portfolio through initiating your own apps, projects, and case studies. Hiring managers want to see real-world examples of your skills, so the more you apply your theoretical understanding to solving real-world problems, the better. Link to your portfolio on your website, resume, and LinkedIn, and walk them through your process and tools/tech stack used.
Of course, if you work in enterprise sales you won't need such a solid grasp of the technical side. However, it's still important to understand basic terminology, know your customer's pain points, and be able to adequately interpret value and deliver a solution to your business customers.
To land a well-paid AI job, you need a strategic approach. It's not sufficient to have graduated from a leading college magna cum laude; it's what you do afterwards that counts. How do you communicate your value and ensure you future-proof your career by remaining relevant with your skills?
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