AI Architect

Change.org

AI Architect leading technical authority on AI adoption at Change.org. Responsible for guiding engineering on AI standards and architectures across the organization.

Posted 7/23/2026full-timeRemote • California, District of Columbia, Illinois, Massachusetts, New York, Texas, Virginia, Washington • 🇺🇸 United StatesSeniorLead💰 $280,500 - $330,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in software engineering, particularly in defining technical standards and architecture patterns for AI systems. Proven ability to influence organizational change and communicate effectively across technical and executive levels.

Highest-signal resume keywords

AI/LLM Systems FluencySoftware Architecture At ScaleTechnical Standards WritingSecurity And Risk JudgmentChange Management Without Authority

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI Systems ArchitectureTechnical Standards DevelopmentCodebase InstrumentationEvaluation Pipeline DesignMulti-Service Environment DesignHands-On Engineering ExperienceAutonomous Agent Action AssessmentAI-Generated Code ReviewSystem Evolution

Soft Skills

CommunicationInfluencing Without AuthorityTechnical TranslationCollaborationProblem Solving

Tools & Technologies

AI ToolingAgent InfrastructureEvaluation PipelinesCode Review ToolsDeployment Tools

Industry Keywords

Change ManagementTechnical ControlsHuman-In-The-Loop ReviewExecution PlanningOrg-Wide Technical Change

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Benefits and perks also vary based on location.