AI Architect

The Information; New York (NY); On-site; USD 155,000 - 175,000; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

Parental leave

Generous PTO

401(k) with matching

FSAs

Wellness stipend

Cell phone reimbursement

In-office lunches

Commuter benefits

Job summary

The Information is seeking an AI Architect to lead the design, evolution, and scaling of our AI pipeline infrastructure in the US. You will own an API‑first backend platform that orchestrates AI workflows at scale and extend it for a growing set of high‑fan‑out features central to our product strategy.

You will manage LLM providers, cost tracking, and model upgrades, while collaborating with product, editorial, and growth teams to translate requirements into robust pipeline designs.

Qualifications

• Deep backend framework experience with ORM usage and API‑only design
• Experience designing idempotent, retryable, fan‑out job pipelines
• Hands‑on with multiple LLM providers, embeddings, and cost tracking
• Experience with a vector database for similarity matching at scale
• Operational mindset for running internal services on a cloud PaaS with databases and queues
• Track record of authoring design docs and build-vs-buy decisions

Responsibilities

• Maintain and operate all existing AI pipelines on the platform
• Migrate remaining workflows from legacy framework to the main platform
• Own on‑call response for AI pipeline failures and retries
• Manage LLM provider relationships, API keys, and cost tracking
• Design and implement new high‑fan‑out pipelines for future workloads
• Establish onboarding patterns for new pipelines and automation
• Drive data storage, queuePartitioning, and concurrency cost controls
• Evaluate new LLM providers and embedding models while preserving data compatibility
• Build observability tools and extend dashboards with reporting and alerting
• Collaborate with product/editorial/growth to translate requirements into designs
• Mentor engineers on pipeline patterns and platform architecture
• Lead technical proposals for major infrastructure changes

Skills

Backend framework

Job orchestration

LLM integration

Vector search

Production operations

Architecture design

Job description

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 broker
• A dedicated relational database for pipeline state and history
• A job base class/pattern that provides idempotency guards, status‑transition state machines, retry‑with‑backoff, structured logging, and error reporting on failure
• Authenticated API access for inbound integrations, with secure credential management for outbound integrations
• Multiple LLM providers for generation, structured output, and embeddings
• A vector database for similarity search and matching at scale
• Integrations 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 platform
• Complete the migration of remaining workflows from the legacy orchestration framework to the primary platform
• Own on‑call response for AI pipeline failures, including failed‑job triage and retries
• Manage 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 rework
• Establish patterns and conventions for onboarding new pipelines, including registry entries, job subclassing, batch fan‑out, and automated reporting
• Drive architectural decisions around data storage strategy, queue partitioning, concurrency throttling, and cost controls as pipeline volume grows
• Evaluate and integrate new LLM providers and embedding models as the landscape evolves, while maintaining backward compatibility with existing vector data
• Build 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 designs
• Work across the engineering organization to integrate AI pipelines with the broader technical stack
• Mentor engineers on AI pipeline patterns, prompt engineering, and platform architecture
• Own 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 processing
• Job 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 tracking
• Vector 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 tooling
• Architecture 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 experience
• Experience migrating workflows from a Python‑based orchestration framework to Ruby‑based framework
• Familiarity with agent orchestration and LLM tracing/observability ecosystems
• Experience 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 lifecycles
• Experience 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 dependents
• Medical coverage that includes fertility care and $0 copays for in‑office mental health visits with in‑network providers
• Paid parental leave to support and empower new parents
• Generous paid time off (PTO) that increases with tenure
• 401(k) plan with employer matching contributions
• Flexible Spending Accounts (FSAs) for healthcare and dependent care expenses
• Fitness and wellness stipend to encourage a healthy lifestyle
• Monthly cell phone reimbursement
• Company‑sponsored lunches in the office every Monday
• Commuter 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.