AI Jobs and Career Paths

Build production applications powered by predictive models, LLMs, RAG, and agents.

Turn data and experiments into reliable trained models and production inference services.

Find valuable AI use cases and guide teams from discovery through responsible launch.

Develop and evaluate new learning methods, architectures, and scientific insights.

Design, test, and maintain reliable instructions and evaluation sets for language-model systems.

Design end-to-end AI platforms that meet business, security, reliability, and cost requirements.

Automate and operate the model lifecycle from experiments to monitored production services.

Build trusted data, feature, and retrieval pipelines for analytics, ML, and generative AI.

Protect AI systems, models, data, tools, and users from emerging attacks and misuse.

Build tool-using AI agents that plan, retrieve context, take actions, and recover safely.

Create systems that understand images and video for detection, segmentation, generation, and automation.

Build systems for search, classification, extraction, generation, and language understanding.