Will AI Replace
AI Engineers?
AI tools make engineers more productive, not obsolete.
The engineers who learn to work with AI become more valuable, not replaceable.
You're Worried About Investing in a Career
That AI Might Automate Away.
You see AI coding assistants getting better every month and wonder if engineering skills will matter in 5 years.
The fear of automation makes you hesitant to invest months learning AI engineering skills.
Headlines about AI replacing jobs create anxiety about whether this career path has a future.
Build Skills That AI Cannot Replace
The World-Class AI Engineer Cohort
AI excels at pattern matching and code generation. It struggles with system design, business context, and novel problem-solving. The engineers who thrive are those who leverage AI as a force multiplier while developing judgment and architectural skills that remain uniquely human.
Understand the Reality
Learn which skills AI augments vs. which it replaces
Build Durable Skills
Focus on system design, business context, and judgment
Leverage AI Tools
Become 10x more productive by working with AI, not against it
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.
Engineers Who Adapt to AI Tools Become More Valuable, Not Less
Frequently Asked Questions
Will AI actually replace AI engineers in the next 5-10 years?
No. AI tools automate routine coding tasks, but engineers still design systems, make architectural decisions, understand business requirements, and solve novel problems. Every major tech company is hiring more AI engineers, not fewer. AI coding assistants increase individual productivity, which makes skilled engineers more valuable. The role evolves, but the need for human judgment in building AI systems remains.
What AI engineering skills will stay valuable as AI improves?
Focus on skills AI struggles with: system architecture, understanding business context, integration of multiple systems, debugging complex production issues, and translating vague requirements into technical solutions. Coding syntax is increasingly automated. The ability to decide what to build and why to build it remains human. Engineers who develop strong judgment and communication skills will always be needed.
Is AI engineering a secure career choice for 2026 and beyond?
Yes. Demand for AI engineers continues to grow as every industry adopts AI. The Bureau of Labor Statistics projects 23% growth in AI-related roles through 2032. Companies need engineers who can implement, deploy, and maintain AI systems. Even as AI tools improve, someone needs to orchestrate them. The career is evolving, but the opportunity is expanding, not shrinking.
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.
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.
How do I position myself for AI augmentation rather than replacement?
Embrace AI tools aggressively. Engineers who resist AI assistants become less competitive, not more secure. Learn to use AI for code generation, debugging, and documentation while you focus on system design and business logic. The engineers being replaced are those who refuse to adapt. The engineers thriving are those using AI to ship 3-5x faster than before.
Is it worth investing in AI engineering skills if AI keeps improving?
Absolutely. The better AI tools become, the more companies need engineers who can wield them effectively. Learning AI engineering is like learning to use any powerful tool. The tool does not replace the craftsman. It amplifies their capabilities. Engineers who understand both AI tools and software fundamentals will be the most valuable hires for the foreseeable future.
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.