About the Role We are building AI capabilities that improve important human workflows across the company. As AI Architect, you will set the technical direction for how we design, evaluate, integrate, and operate AI systems. You will help teams choose the right approach for each problem—from conventional software and deterministic workflows to retrieval-augmented systems and agents—and ensure those systems meet clear standards for quality, reliability, safety, and value. This is a strategic, hands-on role. You will establish reusable architecture and evaluation practices, guide cross-functional teams, and prototype or validate key patterns where needed. You will partner with product and engineering leaders to turn high-value opportunities into systems that can be measured and operated in production.   What You'll Do Set AI architecture direction: define reference architectures and design principles for AI services, agents, model integrations, data and context flows, tools, and human review. Make trade-offs among quality, autonomy, reliability, latency, cost, and complexity. Build the evaluation discipline: help teams define expected behavior and success measures; design representative datasets and evaluation methods; write and maintain evals; establish regression checks and quality thresholds; and use results to prioritize improvements. Guide production readiness: shape shared practices for tracing and observability, versioning, monitoring, incident response, privacy, security, and lifecycle management of AI systems. Enable teams to ship: create reusable patterns, reference implementations, and practical guidance. Coach engineers through architecture reviews and help teams move valuable work from prototype to production. Connect architecture to outcomes: partner with product, operations, and domain teams to identify workflow needs and measure whether AI improves completion, quality, time, or other agreed outcomes. Stay close to implementation: prototype hi