• Owning end‑to‑end technical outcomes: architecture, design, implementation, and production support • Partnering with Product to translate business requirements into technical roadmaps; lead backlog refinement, estimation, and sprint planning • Designing agentic AI systems: multi‑agent orchestration, tool‑use, retrieval (RAG), planning, and self‑evaluation loops • Defining and implementing AI agentic standards and guardrails for safety, compliance, and ethical use, including policy enforcement and observability • Integrating agents with APIs, event streams, and data platforms; measure outcomes against product KPIs • Defining and evolve service architectures with strong non‑functional qualities (performance, scalability, security) • Collaborating with Architecture on standards, cross‑team integrations, and technology governance • Implementing CI/CD automation, Infrastructure as Code, and GitOps workflows; champion release engineering best practices • Implementing production observability (APM/logging/metrics/tracing), define/publish SLOs & SLAs, and use data to improve reliability and performance