About the role
The Agentic Orchestration Engineer at Accenture designs and builds production‑grade multi‑agent systems that power AI‑driven workflows at scale. The role involves architecting advanced orchestration patterns, managing agent lifecycles, implementing observability, and delivering robust, secure, and scalable Python services integrated with LangChain/LangGraph for enterprise AI solutions.
ConsultingHybridOther Functions
Key Responsibilities
- Design and implement production‑grade multi‑agent orchestration frameworks using tiered patterns
- Build and maintain complex workflow orchestration with state machines (e.g., LangGraph)
- Define and manage full agent lifecycle including registration, configuration, versioning, deprecation, and runtime governance
- Implement robust observability for agents and workflows using tools such as LangSmith and Datadog
- Develop scalable, asynchronous Python services that integrate with LangChain/LangGraph and other orchestration components
- Collaborate with AI engineers, solution architects, and product teams to translate business workflows into orchestrated multi‑agent solutions
Requirements
- Strong hands‑on experience building AI or automation systems using Python
- Practical experience with LangChain, LangGraph, or similar frameworks for agent or workflow orchestration
- Solid understanding of multi‑agent system design, orchestration patterns, and state machines
- Experience with asynchronous programming and event‑driven architectures in Python
- Familiarity with observability practices and tools (e.g., LangSmith, Datadog) for monitoring complex workflows
- Demonstrated ability to design and implement production‑ready services with a focus on robustness, scalability, and maintainability