Agentic Orchestration Engineer

Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture, and make delivering innovative work part of your extraordinary career.

About The Role

The Agentic Orchestration Engineer designs and builds production-grade multi-agent systems that power AI-driven workflows at scale. You will architect and implement advanced orchestration patterns, lifecycle management, and observability for agents, enabling reliable, secure, and efficient AI solutions across complex enterprise environments.

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

Required Qualifications

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

Preferred Qualifications

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

About The Company / Team

You will join Accenture's Data & AI and Cloud First teams, working at the forefront of next-generation AI platforms. The team focuses on building reusable orchestration patterns, frameworks, and tooling that enable multi-agent systems to operate reliably at enterprise scale. You'll collaborate with AI engineers, platform teams, and client delivery squads to turn innovative agentic concepts into resilient, real-world solutions.

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.