The rapid evolution of distributed and latency-sensitive applications in edge computing environments demands seamless coordination between Service Chain orchestration (SCO) and Network Service Lifecycle Management (NSLM). While SCO ensures the optimal placement, sequencing, and routing of network functions to meet performance and policy requirements, NSLM governs the complete lifecycle of network services, including design, deployment, monitoring, scaling, and termination. This paper explores the convergence of these two domains, highlighting how their integration enables closed-loop automation, dynamic adaptability, and SLA-aware optimization in heterogeneous and resource-constrained edge intelligence infrastructures. We present a conceptual framework that aligns the tactical decision-making capabilities of SCO orchestration with the strategic oversight of NSLM, enabling context-aware and performance-driven service delivery. Potential challenges, including incomplete network state awareness, interoperability, and security, are discussed alongside future research directions toward AI-enhanced, autonomous orchestration–management ecosystems.