AI Architect

🕒 July 23

🌐 United States, Canada, +1 more countries – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote 🇲🇽 Mexico – Remote

🏄 California, District of Columbia, +6 more states – Remote

🏄 California – Remote 🏛️ District of Columbia – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $280.5k - $330k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

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Change.org

WebsiteLinkedInAll Job Openings

51 - 200 employees

🌍 Social Impact

📱 Media

💰 $30M Series D - Change.org on 2017-05

Social Impact • Media

Change. org is a global online petition platform and public benefit corporation that helps individuals, communities, and organizations create, share, and promote petitions to drive social and political change. The site enables users to start petitions quickly, gather signatures from a large international audience, and connect with decision-makers and the media to influence policy and public opinion. Change. org emphasizes civic engagement and social impact, supporting campaigns across numerous countries and languages.

📋 Description

• Define and evolve the standards, architecture patterns, and tooling choices that govern how engineers use AI across the codebase — including where to invest in codebase readiness (instrumentation, specification, evaluation) versus targeted rewrites. • Own execution of the multi-milestone plan (readiness → validated → governed) applied to corgi and secondary repos, in partnership with squad leads — without being their manager. • Decide what AI tooling, agent infrastructure, and evaluation pipelines the org needs, and build or oversee the build of the ones that don't exist yet. • Set the policy and technical controls for where human-in-the-loop review is required versus where autonomous agent action (PR review, deployment) is safe — resolving the tension between adoption speed and security/quality risk. • Write the guidance engineers actually use — AGENTS.md/CLAUDE.md conventions, review norms for AI-generated code, eval standards — and make sure it's adopted, not just published.

🎯 Requirements

• 10+ years of software engineering experience, with several at staff/principal level or above. • Experience writing technical standards or guidance that other engineers actually adopted — with evidence, not just documents that sat unread. • AI/LLM systems fluency. Deep, current hands-on experience building with LLMs and agentic systems — not just using AI coding assistants, but understanding how to architect around them. • Software architecture at scale. Track record designing and evolving systems in large, mature codebases (multi-million line, many-service environments). • Hands-on engineering credibility. Enough recent, real shipping experience that senior engineers treat this person as a peer, not a strategist parachuting in. • Security and risk judgment. Comfortable making the call on where autonomous AI action is safe and where it isn't, and defending that call under pressure. • Change management without authority. Has driven org-wide technical change as an IC, influencing teams they don't manage. • Communication and translation. Can move fluidly between deep technical detail and an executive-level narrative.

🏖️ Benefits

• Benefits and perks also vary based on location.