AI Architect

Job Overview

The AI Architect will design and implement end-to-end architectures for Generative AI and AI/ML solutions, working under the guidance of the Director Enterprise Systems to bring the organization’s AI strategy to life. Our EdTech products and services touch millions of students and educators every year so our AI solutions must be guided by our purpose to help every teacher and student feel seen, valued and supported. This role is deeply technical, hands-on, and delivery-focused. The ideal candidate has strong experience with data-driven AI, GenAI architectures (especially RAG), cloud-native patterns, and MLOps/LMMOps tooling. They will be a key contributor to the build‑out of enterprise AI platforms and accelerators. The AI Architect translates architectural standards into real solutions, builds reusable components, partners closely with data engineering and product teams, and ensures AI projects are secure, scalable, compliant, and production‑ready.

Job Responsibilities

1. Solution Architecture & Delivery

• Design secure end-to-end AI solution architectures including data ingestion, model training, inference pipelines, orchestration flows, and integration with downstream systems.
• Implement architectures defined by the Director Enterprise Systems, ensuring alignment with standards, patterns, and platform strategy.
• Build GenAI solutions using RAG, vector search, grounding strategies, prompt orchestration, and model evaluation frameworks.
• Create and maintain high-quality HLD/LLD documentation, sequence diagrams, and data flows for AI workloads.
• Perform hands-on technical proofs of concept, evaluate models/tools, and convert prototypes into production-grade systems.

2. AI Engineering Enablement

• Build secure reusable code templates, libraries, and patterns for deployment, evaluation, and monitoring of workloads.
• Partner with engineers to integrate AI components into pipelines, data products, and operational w...