AI Architect

About The Information The Information is the go-to source of in-depth reporting for the most influential leaders in technology and business. Founded in 2013 and headquartered in San Francisco, our original, high-quality journalism has the power to inform the most consequential decisions shaping our future, and we’ve built a community of 700,000 active readers who depend on us to do just that. We have a financially healthy business, plenty of capital, and big ambitions to grow our team and business. About The Role We're looking for an AI Architect to lead the design, evolution, and scaling of our AI pipeline infrastructure. You'll take ownership of a backend platform built to orchestrate AI workflows at scale, and extend it to support a growing set of high-fan-out AI features that are central to our product strategy. What You'll Inherit Our AI infrastructure is built around an internal, API-only backend service responsible for orchestrating AI pipelines end to end. It runs on a modern web framework with a background job processing system, backed by a relational database, and is designed around durable, observable, idempotent jobs rather than ad hoc scripts. Some earlier AI workflows still run on a separate orchestration framework and are being progressively migrated into this platform. Key Infrastructure You'll Own An internal, API-only backend application deployed on a cloud PaaS (staging and production environments)A background job processing system with multiple queues and a durable message brokerA dedicated relational database for pipeline state and historyA job base class/pattern that provides idempotency guards, status-transition state machines, retry-with-backoff, structured logging, and error reporting on failureAuthenticated API access for inbound integrations, with secure credential management for outbound integrationsMultiple LLM providers for generation, structured output, and embeddingsA vector database for similarity search and matching at scaleIntegrations with adjacent internal systems (content/CMS, notifications, messaging/chat tooling, tracing and error-monitoring platforms) What You'll Do Own and Operate (Immediate) Maintain and operate all existing AI pipelines running on the platformComplete the migration of remaining workflows from the legacy orchestration framework to the primary platformOwn on-call response for AI pipeline failures, including failed-job triage and retriesManage LLM provider relationships, API key rotation, cost tracking, and model upgrades Architect and Scale (Ongoing) Design and implement new high-fan-out AI pipelines on the existing platform — built to support future horizontal workflows (many generations across many users/items) without significant reworkEstablish patterns and conventions for onboarding new pipelines, including registry entries, job subclassing, batch fan-out, and automated reportingDrive architectural decisions around data storage strategy, queue partitioning, concurrency throttling, and cost controls as pipeline volume growsEvaluate and integrate new LLM providers and embedding models as the landscape evolves, while maintaining backward compatibility with existing vector dataBuild observability and operational tooling — extending the primary ops dashboard with custom reporting, cost tracking, and alerting as needed Collaborate and Lead Partner with product, editorial/content, and growth teams to translate product requirements into pipeline designsWork across the engineering organization to integrate AI pipelines with the broader technical stackMentor engineers on AI pipeline patterns, prompt engineering, and platform architectureOwn the technical proposal process for new pipelines and major infrastructure changes Required Qualifications Deep backend framework expertise — 5+ years building production applications in a modern web framework (e.g., Rails, Django, or similar), with strong experience in ORM usage, API-only application design, and background job processingJob orchestration at scale — Proven experience designing idempotent, retryable, fan-out job pipelines (batching, concurrency controls, dead-letter handling, queue partitioning)LLM integration experience — Hands-on work with multiple LLM providers, structured output, embeddings, prompt engineering, and cost trackingVector search infrastructure — Experience with a vector database for similarity matching at scale (batched queries, namespace management, embedding model migration)Production operations mindset — Experience running internal services on a cloud PaaS or equivalent, with relational databases, caching/queueing infrastructure, and observability toolingArchitecture and proposal-driven development — Track record of authoring technical design documents, making build-vs-buy decisions, and designing platforms meant to be extended by others Preferred Qualifications 5+ Years of Ruby/Ruby on Rails experienceExperience migrating workflows from a Python-based orchestration framework to Ruby-based frameworkFamiliarity with agent orchestration and LLM tracing/observability ecosystemsExperience with AI alerting or notification systems (change detection, embedding-based matching, threshold tuning)Background in media/publishing AI applications (personalization, content recommendation, cohort-based delivery)Experience with state machine libraries for managing job lifecyclesExperience building retrieval-augmented generation (RAG) pipelines - grounding LLM outputs in retrieved documents or context, not just retrieval-based matching/ranking What Success Looks Like First 90 days: All existing pipelines are stable and well-understood. Remaining migrations are scoped and underway. You've shipped at least one new pipeline or major platform improvement. First year: The platform is the single home for all AI orchestration. New pipelines are onboarded in days, not sprints. LLM costs are tracked and optimized. The team trusts the platform's reliability and observability. Benefits We offer a comprehensive and competitive benefits package designed to support the well-being of our employees and their families, including: Company-paid medical, dental, and vision coverage for employees and their dependentsMedical coverage that includes fertility care and $0 copays for in-office mental health visits with in-network providersPaid parental leave to support and empower new parentsGenerous paid time off (PTO) that increases with tenure401(k) plan with employer matching contributionsFlexible Spending Accounts (FSAs) for healthcare and dependent care expensesFitness and wellness stipend to encourage a healthy lifestyleMonthly cell phone reimbursementCompany-sponsored lunches in the office every MondayCommuter benefits A supportive, inclusive, and diverse work environment with a zero-tolerance policy for harassment We can only accept applications from those eligible to live and work in the United States. Salary Range: $155,000 - $175,000 USD Annually + Bonus + Benefits The salary range posted is based on the company's good faith belief at the time of the posting. Actual compensation may vary above or below this range based on factors such as location, work experience, and skill level. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to diversity and to building an inclusive environment for people of all backgrounds and ages.