• Own and maintain prompt engineering strategies, including prompt versioning, testing, and optimization • Design AI workflows that combine models, prompts, tools, enterprise data, and business logic • Implement AI orchestration layers to manage multi-step reasoning, decisioning, and actions • Ensure AI systems integrate cleanly into business workflows, APIs, and user interfaces • Apply guardrails to ensure safe, explainable, and compliant AI behavior • Support in building and maintaining production-grade deployment pipelines for AI solutions • Ensure reliability, scalability, cost control, and latency optimization • Implement monitoring and observability for AI systems (usage, performance, drift, failures) • Define and enforce change control, versioning, rollback, and release management processes • Collaborate closely with data scientists, actuaries and other business functions • Validate model behavior, outputs, and assumptions from a production and business-use perspective