Sr. Applied AI Engineer, Life Science Markets

Description Join Vi ’s Life Science Markets squad that turns large, varied proprietary datasets into products that help evaluate pharmaceutical markets, treatment adoption, competitive dynamics, and drug commercial performance. You will design, build, and deploy AI-powered applications, services, and data workflows, working hands-on with engineers, data scientists, and domain experts. You will own implementation from prototype through production. A background in life sciences or capital markets is very helpful, but not required. What You'll Own Applied AI development: Design and implement systems combining ML models, LLMs, retrieval, and workflow automation to address life sciences market questions. Make practical choices about model quality, reliability, latency, and cost. Engineering and evaluation quality: Build automated tests, evaluation datasets, and monitoring for AI outputs and application reliability. Maintain rigorous validation of predictive models, including point-in-time backtesting, baseline comparisons, and checks for leakage and coverage bias. Production ownership: Take prototypes into production and own APIs, integrations, deployment, observability, and incident resolution. Build reusable capabilities that scale across therapies, companies, and clients. Client partnership & business logic: Work directly with clients and domain experts to understand their analytical workflows, explain findings, challenge assumptions, and turn feedback into product prioriti