About the role

AI summarised

Accenture is seeking an Agentic Orchestration Engineer to design and build production-grade multi-agent systems for AI-driven workflows. The role involves architecting orchestration patterns, managing agent lifecycles, and ensuring reliability and observability in complex enterprise environments.

BusinessFull-timeOther Functions

Key Responsibilities

Design and implement production-grade multi-agent orchestration frameworks based on a multi-tier pattern (e.g., Tier 1 routers, Tier 2 domain specialists, Tier 3 utility agents)
Build and maintain complex workflow orchestration using state machines (e.g., LangGraph) to manage agent coordination, context, and control flow
Define and manage the full agent lifecycle, including registration, configuration, versioning, deprecation, and runtime governance
Implement robust observability for agents and workflows, leveraging tools such as LangSmith and Datadog for tracing, logging, metrics, and performance insights
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
Ensure reliability, security, and resilience of agentic systems in production, including error handling, fallback strategies, and monitoring
Contribute to and advocate for best practices, patterns, and reusable components for multi-agent orchestration across the organization

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, or equivalent) for monitoring complex workflows
Demonstrated ability to design and implement production-ready services with a focus on robustness, scalability, and maintainability
Strong collaboration and communication skills, with the ability to work closely with cross-functional technical and product teams
Experience designing or implementing tiered/hybrid orchestration patterns for agents or services
Background in large-scale AI, automation, or workflow platforms in enterprise environments
Knowledge of reliability engineering practices (circuit breakers, retries, fallbacks, timeouts) applied to agentic systems
Contributions to open-source orchestration, LangChain/LangGraph, or multi-agent frameworks
Experience working in consulting or client-facing technology delivery teams