AI Engineer to
Architect Track
Design the systems others build.
AI Architects shape technical direction, influence multiple teams, and earn $200K-$400K+.
Ready to Think Bigger
Than Individual Features?
You love system design more than feature implementation. You want to shape architectures, not just work within them.
The path from engineer to architect isn't clear. What's the actual difference? When are you ready?
Architects need credibility across multiple domains. You're deep in one area but need to broaden without losing depth.
The AI Architecture Path
The World-Class AI Engineer Cohort
AI Architects combine deep technical expertise with system-wide thinking. Here's how to develop the perspective and skills for architectural leadership.
Build Deep Technical Foundation
Develop genuine expertise in AI systems, not just surface knowledge
Expand Your Scope
Think beyond your team—understand how systems connect and interact
Develop Design Skills
Learn to make trade-offs, document decisions, and communicate architecture
Lead Technical Direction
Own architectural decisions, influence multiple teams, set technical strategy
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.
Good AI Architects Are Rare. They See Systems That Don't Exist Yet.
Frequently Asked Questions
What do AI Architects actually do?
AI Architects design systems that multiple teams implement. Daily work: creating technical designs and specifications, reviewing others' architectures, evaluating technologies and vendors, setting technical standards, advising on build vs buy decisions, and representing technical perspective to leadership. You spend time in design reviews, writing documentation, and having cross-team discussions. Your deliverables are designs, standards, and technical direction—not code.
How is an Architect different from a Senior Engineer?
Senior Engineers own projects within a team. Architects own technical direction across teams or systems. Senior Engineers write code; Architects mostly write documentation and designs. Senior Engineers make decisions within their project; Architects make decisions that affect multiple projects. The scope is the key difference: Architects think in systems and organization-wide patterns. Some companies use 'Staff Engineer' for this role with a coding component; 'Architect' typically means less hands-on.
What skills do I need to become an AI Architect?
Technical: deep expertise in AI systems, MLOps, cloud infrastructure, data architecture. Breadth matters—you need to understand how everything connects. Design: creating clear specifications, making trade-off decisions, documenting rationale. Communication: presenting to executives, writing technical docs, building consensus. Organizational: understanding business priorities, navigating politics, influencing without authority. Judgment: knowing when to standardize vs allow flexibility, when to build vs buy.
How does Architect compensation compare to other paths?
Solutions Architect: $150K-$220K (more customer-facing). AI/ML Architect: $180K-$280K (IC technical design). Principal/Chief Architect: $250K-$400K+ (organizational scope). Comparison: Architect compensation is similar to Staff Engineer at most companies. The title matters less than scope—some 'Senior Engineers' have architect-level responsibilities. Architecture roles are often available earlier at smaller companies or consultancies.
Should I become an Architect or Manager?
Choose Architect if: you love technical design, want to stay deep in technology, prefer influencing through expertise over authority, don't want to manage people's careers. Choose Manager if: you want to develop people, are comfortable with ambiguity and politics, get satisfaction from team success over technical elegance, want to influence through organization. Some people do both (Engineering Manager with technical leadership), but most specialize. Both paths can reach executive levels.
How do I start the transition to Architect?
While still engineering: volunteer for system design work, write architecture docs, participate in cross-team technical discussions, lead technical reviews. Build reputation for thoughtful design decisions. Create architecture decision records (ADRs) even when not required. Ask to shadow architects in your organization. Apply broad curiosity—understand systems outside your immediate area. When ready: look for Architect titles or Staff Engineer roles with architectural scope. Internal transitions work best.
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.
How long does it take to become an AI Architect?
Building technical depth: 4-6 years to develop expertise worth architecting. Expanding scope: 2-3 years deliberately working beyond your team. Developing design skills: ongoing, but 1-2 years of focused practice. Getting Architect title: varies by company—some never have the title, others promote from within. The transition is gradual—you're already doing architecture work before the title change. Most Architects get the title around 8-12 years into their career.
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.
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.