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Accenture

Advises businesses and runs their technology

Data Architect

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeGurugram, Haryana, IndiaNo salary listedIn-person

About the Job

Requirements

  • A minimum of 12 years of experience is required.
  • A minimum of 8 years of experience in Microsoft AI is required.
  • A minimum of 2 years of experience in Agentic AI Architecture is required.
  • A minimum of 10 years of experience in Azure Platform as a Service is required.
  • A minimum of 13 years of total experience in information technology is stated.
  • 15 years of full-time education is required.
  • Deep expertise in Microsoft AI Foundry, Semantic Kernel, AutoGen, Copilot Studio, and Azure AI services is required.
  • Strong knowledge of Large Language Models and Small Language Models, including fine-tuning, deployment, and integration into enterprise systems, is required.
  • Proven experience designing and implementing agentic AI architectures is required.
  • Hands-on experience with Python and Visual Studio Code is required.
  • Strong understanding of Responsible AI frameworks and governance policies is required.
  • Knowledge of compliance and regulatory requirements in AI is required.

Responsibilities

  • Define the data requirements and structure for applications, including modeling and designing application data structures, storage, and integration.
  • Design, architect, and deploy advanced agentic AI solutions using the Microsoft ecosystem.
  • Build scalable multi-agent systems and AI-powered applications using Microsoft AI Foundry, Semantic Kernel, AutoGen, Copilot Studio, and Azure AI services.
  • Ensure solutions are developed responsibly and align with ethical AI practices, governance policies, and organizational objectives.
  • Act as a subject matter expert in Microsoft agentic AI solutions, with hands-on expertise in Microsoft AI Foundry, Semantic Kernel, AutoGen, Copilot Studio, and Azure AI services, including large and small language models.
  • Lead the design and architecture of multi-agent systems and integrate them into enterprise ecosystems.
  • Collaborate with engineering and product teams to deliver generative AI and agentic solutions with measurable business impact.
  • Define and implement Responsible AI practices across solution lifecycles and ensure compliance with ethical standards and regulatory requirements.
  • Mentor and guide teams on best practices in agentic AI system design, orchestration, and deployment.
  • Drive architectural and technical decisions across multiple projects and teams.
  • Facilitate knowledge-sharing sessions and training on Microsoft's agentic AI stack.
  • Evaluate solution performance and recommend optimizations for scalability, accuracy, and compliance.

Desired Qualifications

  • Experience with Microsoft Azure Machine Learning is preferred.
  • Experience with Azure OpenAI Service is preferred.
  • Ability to work with cross-functional teams to deliver scalable AI solutions is stated as an additional skill.

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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