standards for LLM-based applications - RAG pipelines, embedding workflows, vector store integrations, and model serving... engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality...
-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted..., and adherence to resiliency and security expectations;experience coaching engineers on safe, compliant adoption within delivery...
and delivery of scalable analytics, AI/ML, and automation capabilities that power data-driven portfolio management.... Monitor and evaluate performance of AI and automation initiatives to ensure business value delivery. Drive continuous...
data is handled appropriately. Leads delivery of continuity-related awareness, training, educational activities... resiliency, and security Demonstrated ability to handle moderately ambiguous requirements and own features through delivery...
AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes..., decision support, and operational workflows, including LLM/SLM apps such as RAG and summarization/extraction. Engineer...
, you’ll lead the definition and delivery of early use cases for agentic AI. You’ll turn cutting-edge agent capabilities... with agentic AI patterns and tooling (e.g., LLM agents, tool use, LangChain, OpenAI functions, memory systems) Experience working...
part in defining and executing the long-term product strategy for store reporting experiences, while driving delivery... and execution-oriented, capable of shaping a 1-3 year product vision while also driving day-to-day delivery, stakeholder alignment...
integration, data, reliability, and production-platform problems. Drive delivery across both organisations, resolving technical... LLM or machine-learning systems, including context engineering, retrieval, tool use, orchestration, and evaluation...
and instrumentation delivery, cross-disciplinary collaboration across product, engineering, and go-to-market leadership, and industry... capabilities that require deep customer instrumentation. Exposure to agentic AI product development or LLM-based application...
of hands-on technical build work and customer-facing delivery, on a newly formed Agent Builder team. Ideal for a software... or forward-deployed engineer who wants to pivot into customer-facing delivery and thrives in fast-moving, ambiguous environments...