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AI Operations · Role

AI Solutions Architect

The AI Solutions Architect designs the architecture of AI solutions: how models, data, agents and integrations fit with existing systems. They translate the business problem into a design that holds up in production.

What they do

  • Design the solution architecture (models, data, integrations).
  • Choose build vs buy and the technical stack.
  • Make sure the design scales, is secure and maintainable.

Skills it needs

AI systems architectureIntegration with existing systemsModels, data and agent platformsSecurity and scalabilityTechnical communication with the business

Salary by country and seniority

CountrySeniorityP25MedianP75
GermanyJunior€80.000€80.000€80.000Stima da fonti pubbliche
GermanySenior€110.000€110.000€110.000Stima da fonti pubbliche
GermanyAll€95.748€108.297€120.845Stima da fonti pubbliche
SpainMid€63.954€63.954€63.954Stima da fonti pubbliche
SpainSenior€101.180€101.180€101.180Stima da fonti pubbliche
SpainAll€43.900€43.900€43.900Stima da fonti pubbliche
FranceAll€55.000€55.000€55.000Stima da fonti pubbliche
United KingdomSenior€83.810€83.810€83.810Stima da fonti pubbliche
PortugalAll€23.444€23.444€23.444Stima da fonti pubbliche
United StatesMid€189.200€189.200€189.200Stima da fonti pubbliche
United StatesSenior€148.726€161.491€174.257Stima da fonti pubbliche
United StatesAll€160.600€190.080€213.039Stima da fonti pubbliche

Figures in euros, gross annual — each with its source.

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Also known as

The market uses several titles for the same role:

AI Solution ArchitectApplied AI ArchitectAI Platform ArchitectEnterprise AI Architect

How it changes by seniority

  • Mid Designs a solution’s architecture (models, data, integrations) with guidance.
  • Senior Decides build vs buy and the stack; ensures it scales, is secure and maintainable.
  • Lead Sets architecture standards and the platform across the whole portfolio.

When to hire

When the project is big enough to need design before building.

When not to

If it's a small, bounded automation: it doesn't need an architect.

Interview questions

  1. 1. A customer wants "AI in their support service". How do you get from that sentence to an architecture?

    What to look for: Grounds the problem in concrete processes, data constraints and build-vs-buy before drawing anything.

  2. 2. When do you recommend building custom and when buying a tool?

    What to look for: Decides by whether the process is a competitive edge and by control of cost/data/reliability.

  3. 3. How do you design so the solution holds when the provider changes or retires a model?

    What to look for: Thinks model abstraction, regression evals and a maintenance plan from the design.

  4. 4. Which architecture decisions do you often see turn expensive at six months?

    What to look for: Anticipates debt: provider coupling, missing observability, broad permissions.

Scorecard

  • Problem to designTranslates a fuzzy need into processes, data and concrete architecture.
  • Build-vs-buyDecides build or buy by competitive edge and control of cost/data.
  • Design for changeAbstracts the model and plans maintenance; the solution survives provider changes.
  • Total-cost viewCounts integration, supervision and maintenance, not just the model.

Red flags

  • Jumps to technology before understanding the process and the data.
  • Couples everything to one provider with no plan for when it changes.
  • Designs with no observability or evals: no way to operate what they propose.

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