· You set technical direction for and architect end-to-end AI/ML capabilities that span multiple teams and products, from concept and experimental design through production deployment, writing reusable, production-quality code and reference implementations others build on.
· You take on the most complex and ambiguous modeling problems, building and optimizing AI/ML features powered by predictive models or generative AI such as large language models (LLMs), and improving behavior through model selection, prompting, retrieval, feature engineering, fine-tuning, or retraining.
· You define evaluation and safety standards for the group, establishing metrics, benchmarks, and monitoring, anticipating model and system risks, and driving mitigations and responsible-AI practices across teams.
· You shape technical strategy and roadmap, balancing model performance, latency, cost, safety, and regulatory requirements, and connecting technical decisions to commercial and clinical impact.
· You raise the engineering bar across the group, improving the training, serving, and CI/CD pipelines and the standards, patterns, and infrastructure that keep AI/ML systems reliable, observable, and cost-effective at scale.
· You partner with and influence cross-functional stakeholders, including R&D, Commercial, Product, Legal, and Regulatory, aligning technical direction with company strategy and the highest safety standards.
· You mentor and provide technical guidance to other engineers, and communicate complex methods and results clearly to technical and non-technical audiences, including senior leadership.