Job Description
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 Platform Deployment & Maintenance Engineer is responsible for deploying, configuring, and operating Accenture's enterprise agent platform in production. You will set up and manage managed agent runtime services, optimize platform performance, and ensure reliable, observable, and secure operation of multi-agent workloads across environments.
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 (e.g., Datadog, LangSmith, or equivalents)
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
Required Qualifications
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
Strong problem-solving and collaboration skills, with the ability to work closely with cross-functional engineering and product teams
Preferred Qualifications
Experience operating enterprise-scale AI, agent, or workflow platforms
Knowledge of best practices for runtime isolation, security, and access control in multi-tenant platforms
Familiarity with infrastructure-as-code and CI/CD pipelines for platform deployment and updates
Exposure to observability stacks such as Datadog, OpenTelemetry, or similar tools for metrics and tracing
Contributions to internal or open-source tooling related to agent frameworks, platform engineering, or monitoring
About The Company / Team
You will join Accenture's Data & AI and Cloud First teams, working at the core of our next-generation agentic platform. The team focuses on building resilient, observable, and scalable platforms that enable AI agents to run safely and reliably at enterprise scale. You will partner closely with AI engineers, platform architects, and client delivery teams to ensure our agentic capabilities are production-ready and continuously improving.
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.
