Applied AI Engineer, Enterprise - EDU

Work hands-on in code to design, build, evaluate, and deploy AI systems from prototype to reliable production and scaled adoption that solve important customer…

Partner with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and success criteria.

Make sound technical decisions across model selection, agent and tool design, retrieval, context design, data pipelines, evaluation, reliability, observability, latency, cost, safety, security…

Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers to resolution.

Are highly proficient in Python and comfortable working end to end across model APIs, agent and tool development, retrieval and data pipelines, evaluation…

Know how to evaluate AI systems systematically using representative data, automated graders, production signals, and human judgment.

Have navigated enterprise production requirements, including integrations, reliability, observability, security, privacy, data governance, performance, and cost.

Experience navigating education or research environments, including institutional data, privacy, access controls and complex integrations, is valuable.