AI Solutions Architect Jobs:
Where Tech Meets Business
Companies need architects who can design AI solutions AND sell them to stakeholders.
These hybrid roles command $200K-$350K+ for the right combination of skills.
AI Native Engineer Community Access
You Can Build AI Systems.
But Can You Sell the Vision?
Solutions Architect roles require translating technical AI capabilities into business outcomes for non-technical stakeholders. That's a skill ML courses never taught.
The skill requirements are impossibly broad: cloud architecture, ML pipelines, security, cost optimization, pre-sales, AND stakeholder management. How do you learn everything?
Consulting vs in-house? Cloud provider vs enterprise? Each path has different skills, compensation, and career trajectories. The wrong choice costs years.
From Engineer to Solutions Architect.
The AI Career Accelerator
AI Solutions Architects earn premiums because they combine rare skills: deep AI expertise, enterprise architecture thinking, and the ability to communicate value to business stakeholders. The transition from senior engineer to solutions architect requires deliberate skill development and strategic positioning.
Master Architecture Patterns
Cloud-native AI, MLOps pipelines, cost-optimized deployments
Develop Business Translation
Turn technical capabilities into ROI stories stakeholders understand
Position for Solutions Roles
Target consulting, cloud providers, or enterprise AI teams
Meet Your Mentor
When I started in tech, I was based in the Netherlands with no connections and only thousands of video game hours under my belt. Not exactly the ideal starting point.
My first tech job was software tester. One of the most junior roles you can start with. I was just happy someone took a chance on me.
I kept learning. Kept pivoting. But what actually accelerated my career wasn't more certifications or more code. It was learning to solve problems that matter and proving beyond a doubt that what I built solved real problems. That's the skill that stays future-proof, even with AI.
I've since worked remotely for international software companies throughout my career. Proof that the high-paid remote path is possible for anyone with the right skills and motivation. In the end, I went from a $500/month internship to 6 figures as a Senior AI Engineer at GitHub.
Now I teach over 22,000 engineers on YouTube. Becoming an AI-Native Engineer is a system I lived through and offer to you today.
Real Results
Vittor
AI Engineer
Landed his first AI Engineering role in 3 months
"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
Personalized Roadmap & Career Strategy
A custom plan tailored to your background, goals, and timeline. No generic advice.
Weekly 1:1 Coaching Calls
Direct access to Zen for guidance, project feedback, and answers to your questions.
Portfolio-Ready AI Projects
Build production-grade AI applications to showcase to employers. Work that gets you hired.
Interview Prep & Mock Interviews
Practice technical and behavioral interviews. Learn what hiring managers look for.
Resume & LinkedIn Optimization
Transform your online presence to attract recruiters. Stand out from other applicants.
Community Career Support
Join the AI Native Engineer community. Not seeing results yet? You stay and keep going. We're with you through the ups and downs.
Enterprise AI Adoption Is Exploding. Solutions Architects Are Rare.
Every month you delay can cost you thousands in lost earning potential. While you're watching tutorials, others are landing $120K+ AI Engineering roles.
I can only work with a limited number of 1:1 clients at a time to ensure you get the personalized attention you deserve.
Frequently Asked Questions
What's the difference between AI Architect and AI Solutions Architect?
AI Architects focus on internal system design: building scalable AI infrastructure for their company. AI Solutions Architects are client-facing: they design AI solutions for customers, often in pre-sales or consulting contexts. Solutions Architects need the same technical depth PLUS business development skills, stakeholder management, and the ability to scope projects and estimate ROI. At cloud providers like AWS, Azure, and GCP, Solutions Architects work directly with enterprise customers to design AI implementations.
What do AI Solutions Architects actually do day-to-day?
Typical responsibilities include: (1) Pre-sales technical support, helping sales teams win AI deals by designing feasible solutions, (2) Architecture workshops with enterprise customers to map business problems to AI solutions, (3) Proof-of-concept development to validate proposed solutions, (4) Technical documentation including architecture diagrams, cost estimates, and implementation roadmaps, (5) Stakeholder presentations translating technical capabilities into business value, (6) Post-sales support ensuring implementations match designed architectures. It's roughly 40% customer-facing, 40% technical design, 20% internal collaboration.
Which companies hire AI Solutions Architects?
Three main paths: (1) Cloud providers (AWS, Azure, GCP) have dedicated AI/ML Solutions Architect teams working with enterprise customers. Total comp $200K-$350K+. (2) Consulting firms (McKinsey, Accenture, Deloitte, specialized AI consultancies) hire architects for client engagements. Variable comp with travel. (3) Enterprise AI vendors (Databricks, Snowflake, DataRobot, Scale AI) need architects to support their AI products. Strong equity upside. Each path has different skill emphasis: cloud providers want breadth, consultancies want business acumen, vendors want product-specific depth.
What do AI Solutions Architects earn in 2026?
AI Solutions Architect compensation reflects the hybrid skill requirements. At cloud providers: base $180K-$250K, total comp $200K-$350K with bonuses and equity. At top consulting firms: base $200K-$280K plus performance bonuses that can add 30-50%. At AI vendors with strong equity: base $170K-$230K but total comp can exceed $400K if the company does well. Independent AI consultants charge $200-$400/hour. The premium over pure engineering roles (typically 20-40% higher) comes from the business development skills that drive revenue.
Should I pursue consulting or in-house Solutions Architect roles?
Consider your preferences: Consulting offers variety (different industries, problems, clients), faster skill development, and often higher total comp. But it comes with travel, utilization pressure, and less ownership of outcomes. In-house roles at cloud providers or AI vendors offer stability, deeper product expertise, and seeing solutions through to completion. Career flexibility is highest from cloud providers since those credentials transfer anywhere. If you're unsure, cloud provider SA roles are the best starting point since they combine consulting-style work with the stability of a tech company.
How much time do I need to commit?
Most clients invest 10-15 hours per week, but this can be flexible based on your schedule. We'll have weekly 1:1 calls plus time for you to work on projects and learning. The key is consistency. Regular, focused effort beats occasional marathons.
Do I need prior AI experience?
Not necessarily. While some programming experience is helpful, many of my clients have successfully transitioned from web development, data science, or other technical backgrounds. We'll assess your current skills during our strategy call and create a personalized plan that meets you where you are.
What if I don't land interviews in 90 days?
You become a member of the AI Native Engineer community, and you stay and keep going. Career transitions take different amounts of time for everyone, and I'm not going to abandon you if things take longer. You get ongoing support through good times and bad.
How is this different from online courses?
Online courses give you content. 1:1 coaching gives you a personalized roadmap, direct feedback on your work, career strategy, interview prep, and accountability. You get answers to your specific questions and guidance tailored to your unique situation instead of generic advice meant for everyone.
What's the investment for 1:1 coaching?
Investment details are discussed during the 30-minute strategy call, where we'll assess your goals and create a custom plan. The program is designed to pay for itself quickly through your increased salary. Most AI engineers see a 20-50% pay increase.
Can I do this while working full-time?
Absolutely. Most of my clients work full-time and make steady progress. We'll schedule calls at times that work for you and create a realistic plan that fits your schedule. Consistency matters more than intensity.
Ready to Land Your AI Role?
Stop watching others succeed. Start building your AI career today.
30-minute strategy call • Limited spots available