AI Solutions Architect

Design enterprise AI systems that survive procurement.

Senior, customer-facing role. You scope multi-million-euro AI deployments at large enterprises — picking models, vendors, infra, and integration patterns. Mix of consulting, architecture, and stakeholder management.

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Skills profile

What hiring managers actually weigh.

Recommended paths

Take them in order. Each builds on the previous.

RAG & Vector Databases

Make models answer from your data, not their guesses.

Deployment & MLOps

Get your model off the laptop and into production.

Prompt Engineering

Make any LLM do what you actually want.

90-day roadmap

An honest, week-by-week plan. Adjust to your weekly time budget.

1
Cloud + AI base
~4 weeks
- One major cloud cert
- Prompt + RAG paths
- Read enterprise AI case studies
2
Architecture patterns
~5 weeks
- Reference architectures for 3 use cases
- Cost modeling spreadsheets
- Compliance & data residency
3
Customer-facing skills
~3 weeks
- Run a real workshop / discovery
- Build a proof-of-concept template
- Sharpen narrative & writing

Certifications worth taking

Practice & certify on CertQuests after completing the course.

Career outcomes

Realistic next steps after completing the roadmap.

Pre-sales / solutions roles at AWS, GCP, Azure
Big-4 AI consulting practice
Enterprise architect tracks