Is AI Engineering
a Good Career?
Yes. AI engineering offers $120K-$250K+ salaries, strong job security, and accelerating demand.
Here's an honest look at the market and whether it's right for you.
You Want to Make the Right Career Move.
But the AI Hype Makes It Hard to Know What's Real.
You hear AI is the future, but you also hear about layoffs and AI replacing jobs. Which narrative is true?
Investing 6-12 months learning AI skills is a big commitment. What if the market shifts by the time you're ready?
You worry that AI engineering is oversaturated or that AI itself will eventually automate the role.
Understand the Market Reality Before You Commit
The World-Class AI Engineer Cohort
AI engineering demand has grown 3x since 2023 and shows no signs of slowing. But not all paths into AI are equal. You need clarity on where the opportunities actually are.
Market Analysis
Understand where AI engineering jobs are growing fastest
Career Fit Assessment
Determine if your background aligns with AI engineering
Strategic Planning
Build a personalized roadmap based on your goals
Meet Your Mentor
My aim has been the same for years: become a world-class AI engineer. Every career move I've made has been measured against that.
I started as a software tester on a $500/month internship in the Netherlands. Taught myself to code, learned to ship real systems, and worked my way to Senior Engineer at GitHub.
Then I left GitHub. I joined an AI research lab as Member of Technical Staff, where I currently build products for secure AI monitoring.
The cohort draws directly from my real experience so you can make progress fast.
I run this special cohort with only a few people because hands-on work with me is what it takes to bring you to become a world-class AI engineer.
Real Results
Vittor
AI Engineer
Built and deployed his portfolio piece, then landed the AI role
"The coaching played a huge part in my success. I focused on AI fundamentals, the certification path, and soft skills like professional writing. Having access to expert guidance gave me confidence during interviews and helped me feel I was on the right path.
I built my own platform (simple but functional) and deployed it on AWS. I used it in my portfolio and showcased it during interviews. The way complex topics were explained, especially the restaurant analogy for AI systems, really stuck with me. Focusing on doing the basics well was absolutely essential."
What You Will Get
8 Weekly Tuesday Sessions
3 hours each for 24 live hours total.
Project Scoping at Kickoff
We set the scope of what you'll ship and the milestones to get there before the live sessions start.
Code Reviews
Reviews of your code from Zen during the cohort.
Lifetime Demo Access
Every architecture demo is recorded and yours to keep.
Demo Day
You present what you built and get feedback from Zen, with a recording you can use in your portfolio.
12 Months Community Access
Included with the cohort.
AI Engineering Salaries Are Rising, But So Is Competition
Frequently Asked Questions
How much do AI engineers make in 2026?
AI engineers earn $120K-$250K+ depending on location, experience, and specialization. Entry-level roles start around $90K-$120K. Mid-level positions range from $140K-$180K. Senior and specialized roles (LLM engineering, AI architecture) reach $200K-$350K at top companies. These salaries have remained strong even as other tech salaries have stagnated.
Is AI engineering a stable career choice?
Yes, more stable than most tech roles right now. Companies are cutting engineering headcount but increasing AI investment. Every major company needs AI implementation skills. The Bureau of Labor Statistics projects 23% growth in AI-related roles through 2032. Unlike narrow specializations, AI engineering skills transfer across industries.
Is the AI job market oversaturated?
No, but competition for entry-level roles is increasing. The key distinction: there's high demand for AI engineers who can build production systems, not just demo apps. If you focus on deployable, business-focused projects, you'll stand out from the flood of bootcamp graduates with identical portfolios.
How much time will this take?
You'll spend 3 hours every Tuesday in the live session and roughly 3 hours of async work in between, for 8 weeks. The Tuesday session time is fixed.
Will AI eventually replace AI engineers?
Not in the foreseeable future. AI tools make engineers more productive, but someone still needs to design systems, integrate solutions, and solve business problems. The engineers who learn to leverage AI tools become more valuable, not obsolete. AI augments the role rather than eliminating it.
I've signed up for cohorts before and dropped out. How is this different?
It probably isn't, and you should hold the money. Most cohort dropouts are people who couldn't articulate what they were shipping when they signed up. That's why the consult exists, and why I turn down most applications. If we get on the call and you can't tell me what you'll have shipped at the end of week 8, I'll point you to the AI Native Engineer community until you can.
I'm not pivoting careers. I want to build a product. Does this still work?
Yes, the cohort works for people shipping their first serious AI system whether the goal is to land a senior role or to launch a product. The shipped system serves both equally well.
Do I need prior AI experience?
You need to be able to code in Python or TypeScript. Complete beginners can follow the classroom they get access to before the cohort sessions to come in well-prepared.
What does it cost?
It's a four-figure investment that we discuss during the 30-minute consult, alongside whether the cohort is the right fit for your project.
Can I do this while working full-time?
Yes, most attendees do. The live session is one Tuesday a week and the async work fits around your existing schedule, as long as you can carve out roughly 6 hours a week.
Is AI engineering better than other tech careers?
For 2026 and beyond, AI engineering offers better salary growth and job security than most tech paths. Traditional software engineering salaries have plateaued. Data science is increasingly automated. AI engineering sits at the intersection of implementation skills and cutting-edge technology, which is exactly what companies need.
I accept those who have the highest chance of success.
In the 30-minute call we discuss your goals and whether you are ready for the program.