About the role
AI summarisedJoin Accenture's Data & AI and Cloud First teams to operate, deploy, and maintain our next-generation enterprise agent platform. This role is critical in ensuring the reliable, observable, and secure operation of multi-agent workloads at enterprise scale.
ConsultingOnsiteOther Functions
Key Responsibilities
- Deploy, configure, and maintain the enterprise agent platform across development, staging, and production environments.
- Set up and manage managed agent runtime services, including provisioning, scaling, security, and lifecycle management.
- Design, maintain, and optimize agent runtime infrastructure (e.g., Python services on Docker/Kubernetes) for reliability and performance.
- Implement and manage agent registries for versioning, configuration, and controlled rollout of agents and shared components.
- Develop and maintain shared agent tooling and libraries to drive consistency, reuse, and operational efficiency across teams.
- Build and operate monitoring dashboards and alerts for agent and platform health using observability tools.
- Collaborate with platform engineers, AI engineers, and SREs to troubleshoot issues, tune performance, and refine deployment patterns.
- Contribute to API and service development to integrate the agent platform with upstream and downstream enterprise systems.
Requirements
- Strong hands-on experience with Python in a production environment.
- Experience deploying and operating containerized workloads using Docker and Kubernetes.
- Familiarity with agent frameworks and orchestration tools (e.g., LangChain, LangGraph, or similar).
- Proven background in platform engineering, including environment configuration, automation, and performance tuning.
- Experience implementing monitoring, logging, and alerting for distributed systems and services.
- Solid understanding of API development and integration patterns in enterprise environments.