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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

  • At least 5 years of experience is required, including a minimum of 5 years of experience with Microsoft Azure OpenAI Service.
  • Hands-on experience with LangChain, LangGraph, and Azure OpenAI (GPT-5.0 or higher).
  • Good understanding of agentic AI concepts, including reasoning, tool usage, and workflows, as well as multi-agent and orchestration basics.
  • Strong proficiency in Python is mandatory.
  • Experience with API development; REST and FastAPI are preferred.
  • Experience building LLM-based applications.
  • Familiarity with prompt engineering, retrieval-augmented generation concepts, vector databases, and basic LLM evaluation and tuning.
  • Exposure to Azure AI services, Azure OpenAI, AI Foundry, CI/CD pipelines, and cloud deployments.
  • Basic understanding of logging and monitoring tools.
  • 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.
  • Develop intelligent agents using LangChain, LangGraph, and Azure OpenAI services.
  • Implement agent workflows, tool integrations, and multi-step reasoning pipelines.
  • Build and maintain stateful agent flows using LangGraph constructs, including nodes, edges, and shared state.
  • Contribute to development of retrieval-augmented generation pipelines, prompt templates, and reusable components.
  • Collaborate with senior developers and architects to implement agentic AI solution designs.
  • Translate functional requirements into working AI agent modules and workflows.
  • Support enhancements and feature development for existing agentic solutions.
  • Work on prompt engineering, response tuning, and workflow improvements.
  • Assist in optimizing performance, latency, and response quality of LLM-based applications.
  • Implement basic memory handling and context management in agents.
  • Integrate AI agents with enterprise systems, APIs, and data sources.
  • Support deployment of solutions on Azure cloud environments.
  • Work with DevOps teams on build, deployment, and monitoring support.
  • Follow best practices for responsible AI, security, and data privacy.
  • Participate in testing, debugging, and validation of AI solutions.
  • Ensure adherence to coding standards and enterprise guidelines.
  • Work closely with QA, development, business analysis, and DevOps teams.
  • Contribute to documentation and knowledge sharing.

Desired Qualifications

  • REST and FastAPI experience is preferred.

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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