Service 08 / 08
AI Architects as a Service.
For enterprises that need principal-level AI architecture — without the principal-level hire they can't find.
The practice
What this engagement looks like.
Every enterprise AI program eventually hits the same wall: a dozen initiatives, five vendors, three clouds, and nobody senior enough — or independent enough — holding the architecture together. The market for principal AI architects is brutal; the good ones are locked inside big tech or charging strategy-firm rates for slideware.
AI Architects as a Service puts a named Aurelia principal architect inside your organisation on a fractional cadence — typically two to three days a week. They own the reference architecture, sit in your design reviews with veto power, arbitrate build-vs-buy, and translate between your board's ambitions and your engineers' reality.
Because they carry our delivery scars — 340+ production systems' worth — their opinions come with evidence. And because the engagement is fractional, you get principal-level judgment at a fraction of a principal-level package.
What you get
Deliverables, not decks.
Named principal architect on fractional cadence
AI reference architecture & guardrails, maintained
Design review board chairing with decision log
Quarterly build-vs-buy and vendor-posture review
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How it works
The model, in detail.
01
Engagement models
Fractional (2–3 days/week, ongoing) for programs in flight; intensive (full-time, 6–8 weeks) for architecture resets; advisory (monthly review board) for teams that need a senior check, not a driver.
02
What they actually decide
Model and platform selection, integration patterns, governance boundaries, data contracts, and the kill/scale calls on initiatives. Every decision lands in a written log with rationale — institutional memory your next architect inherits.
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