Sample job description.

Sample role: AI Architect, Gen AI Program — Company X

Role summary

Company X is building a Gen AI foundation across the company. The AI Architect designs the architecture, technical roadmap, production operating model, and governance practices for scalable generative AI systems. This is not solely a model-building role — the interview will test whether a candidate can connect business objectives, risk, data architecture, cloud infrastructure, LLMOps, evaluation, security, compliance, and stakeholder leadership into one coherent design.

Key responsibilities

• Develop and maintain the foundational architecture for generative AI initiatives.
• Define a technical roadmap aligned with business and data-strategy priorities.
• Partner with engineering, data science, security, and business stakeholders.
• Establish evaluation, observability, and release-gate practices.
• Own risk tiering and governance for AI use cases, including regulated ones.

How to decode a posting like this into a prep checklist: every responsibility line maps to a P0/P1 skill-area row above — "foundational architecture" → reference architecture fluency, "roadmap" → the 90-day stakeholder-roadmap case-study pattern, "governance" → the guardrails and risk-tiering scenarios, "evaluation and observability" → the LLMOps checklist. Reading a real job description this way turns it into a study plan rather than just a list of duties.