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Accenture

Advises businesses and runs their technology

AI Infrastructure Architect

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A minimum of 5 years of experience is required; the additional information specifies a minimum of 7.5 years of experience in AI Agents and Workflow Integration.
  • Proficiency in AI Agents and Workflow Integration.
  • Advanced Python skills for automation, APIs, and asynchronous workflows.
  • Experience with REST APIs, authentication mechanisms, and JSON.
  • Strong knowledge of Data Center and Cloud administration, Monitoring, Observability, and ITSM platforms.
  • Experience building agent-based systems beyond chatbots.
  • Strong understanding of context and memory management.
  • Experience with AIOps or auto-remediation platforms.
  • Exposure to MCP.
  • 15 years of full-time education is required.

Responsibilities

  • Architect and build custom Artificial Intelligence infrastructure and hardware solutions.
  • Optimize AI infrastructure and hardware performance, power consumption, cost, and computational-stack scalability.
  • Advise on AI infrastructure technology and vendor evaluation, selection, and full-stack integration.
  • Design and implement agentic AI solutions for infrastructure operations use cases.
  • Build single-agent and multi-agent systems using planner–executor, tool-using, and reflection patterns.
  • Develop reusable agent frameworks, tools, and workflows aligned with enterprise standards.
  • Provide Infrastructure Managed Services expertise and serve as a technical domain specialist for infrastructure-focused agentic solutions.
  • Integrate agents with enterprise ITSM platforms, including ServiceNow Incident, Change, and CMDB; monitoring and observability tools, including SCOM, Dynatrace, AppDynamics, Prometheus, and Grafana; and automation platforms, including Rundeck, Ansible, and Terraform.
  • Develop secure Python-based tools and APIs that agents can reliably invoke.
  • Work hands-on with large language models in a model-provider-agnostic manner.
  • Implement agent capabilities using frameworks such as LangChain, LangGraph, AutoGen, and CrewAI, or similar frameworks.
  • Manage memory and context optimization, and trade-offs among cost, latency, and reliability.
  • Ensure agent solutions comply with enterprise security standards.
  • Implement human-in-the-loop controls, guardrails, failure handling, and rollback mechanisms.
  • Independently own delivery of assigned agentic use cases.
  • Collaborate with Infrastructure subject-matter experts, platform and automation teams, and architecture and governance teams.
  • Produce clear technical documentation.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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