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Principal AI Systems Architect

Job in Seattle, King County, Washington, 98127, USA
Listing for: Sapienceai
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
  • Design & Architecture
Salary/Wage Range or Industry Benchmark: 204000 - 216000 USD Yearly USD 204000.00 216000.00 YEAR
Job Description & How to Apply Below

Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share.

The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that.

Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves.

Let’s achieve more, together.

Where this role sits

This is the most senior individual-contributor architecture role at Sapience AI. You own how the whole system fits together: how the KO graph, the COGENT architecture, the models, the serving layer, and the product surface combine into one coherent, scalable, trustworthy platform.

You work across every part of the stack, setting the architectural direction that lets specialized teams build fast without the system pulling apart at the seams.

You are a force multiplier: not the owner of one area, but the person who makes sure all the areas add up to a platform that can carry Sapience AI’s ambitions for years.

Why this role exists

Collective intelligence spans hard subsystems: knowledge, reasoning, models, serving, and experience. Each can be strong on its own and still fail as a whole if the architecture does not hold together.

As the platform and the team grow, the cost of architectural drift compounds. Someone has to own the coherence of the system, the big technical bets, and the seams between teams.

The Principal AI Systems Architect owns that. You set cross-cutting direction, make the hard architectural calls, and keep MINERVA and COGENT coherent, scalable, and trustworthy as they grow.

What you will own (Areas of Responsibility)

You hold seven areas of responsibility across the platform architecture. Each one is yours to set direction on and be accountable for.

1. System architecture and coherence
  • Own how the KO graph, COGENT, models, serving, and product surface fit into one coherent system.
  • Set the cross-cutting architecture that lets teams build fast without drift.
  • Own the seams between subsystems, where the hardest problems live.
2. Architectural strategy and big bets
  • Make the architecture-level decisions that shape the platform for years.
  • Weigh build, buy, and bet choices with a clear point of view.
  • Keep the architecture aligned with where AI and the business are heading.
3. Scale, reliability, and trust by design
  • Design for scale, reliability, and trust as properties of the architecture, not add-ons.
  • Anticipate where the system will strain next and get ahead of it.
  • Make security and governance structural.
4. Technical standards and patterns
  • Set the standards and patterns that raise quality across the organization.
  • Reduce accidental complexity and duplicated effort across teams.
  • Make the right way the easy way.
5. Cross-team technical leadership
  • Align specialized teams around shared architecture and interfaces.
  • Resolve the hardest cross-team technical questions.
  • Multiply the impact of every team through better structure.
6. Frontier evaluation and integration
  • Evaluate frontier advances and decide how they fit the architecture.
  • Separate durable direction from passing trends.
  • Bring in what matters without destabilizing the system.
7. Mentorship and technical culture
  • Raise the technical judgment of senior engineers across the organization.
  • Model rigor, clarity, and honesty about trade-offs.
  • Help the whole organization…
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