• Lead the design and implementation of Generative AI services and Agentic workflows that support multiple product features or teams. • Integrate LLMs into applications using modern frameworks, working with APIs or internal model endpoints. Implement telemetry, observability, fallbacks, and cost/latency controls. • Work across data environments to ingest, transform, and serve data for AI use cases, designing practical schemas and retrieval strategies that generalize across environments. • Design and run experiments to compare prompts, models, and configurations; build evaluation flows to measure relevance, safety, robustness, and business impact. • Collaborate with product, data science, design, and domain experts to clarify requirements, break down initiatives into technical plans, and deliver roadmap commitments. • Contribute to and lead code reviews, architecture discussions, documentation, and shared templates/libraries that improve velocity and consistency. • Monitor AI systems in production, participate in incident response, and drive systemic improvements to quality, safety, reliability, and performance. • Partner with security, legal, and compliance to ensure data privacy, responsible AI practices, and regulatory alignment.