Context Architect

Role overview Design the operating structure that helps AI agents produce dependable, reviewable work in regulated or otherwise high-consequence settings. You will translate workflow needs into written architecture for agent context, validation, human review, audit records, and delivery phases, working across domain and engineering stakeholders.

Responsibilities - Define the structured information each agent workflow can use, and document decisions for engineers to build against. - Specify which validation checks are required before outputs proceed and which are advisory. - Set workflow-specific points where a human must review or approve an agent’s work. - Define audit records that capture the context used, checks performed, and information presented to reviewers. - Plan engagement phases, including the first workflow to deliver and the evidence needed before expanding scope. - Maintain clear decisions across technical and non-technical stakeholder discussions.

Requirements - Experience designing shared structures such as data models, taxonomies, API contracts, or ontologies, and defending those choices across teams. - A record of delivering software or systems where mistakes carry meaningful consequences. - Ability to judge when automated output is trustworthy and when a process needs interruption or human control. - Strong written communication: design documents should guide implementation and preserve decisions. - Experience bridging domain, business, and engineering perspectives. - Curiosity about regulated environments; direct regulated-industry experience is not required.

Benefits and work setup - Remote work with at least four hours of overlap with Central European Time on working days. - Contract or full-time engagement; scoped contractors may have the option to convert to full-time. - Occasional travel for engagement kickoffs. - Compensation is discussed based on engagement type, location, and seniority.