About this role
This Accenture position in Hyderabad is listed as an AI LLM Technology Architecture Associate Director, with a project role of Data Architect. The role combines defining application data requirements, structures, storage and integration with designing and deploying enterprise agentic AI solutions using Microsoft technologies.
Responsibilities
- Architect scalable multi-agent systems and integrate them into enterprise applications using Microsoft AI Foundry, Semantic Kernel, AutoGen, Copilot Studio and Azure AI services.
- Lead technical decisions across projects, work with engineering and product teams to deliver GenAI and agentic solutions, and mentor teams in system design, orchestration and deployment.
- Implement Responsible AI practices and governance throughout the solution lifecycle. Evaluate performance and recommend improvements to scalability, accuracy and compliance; provide training and knowledge sharing on Microsoft's agentic AI stack.
Requirements
- Microsoft Agentic AI Architecture is the required skill. The posting also calls for expertise in large and small language models, including fine-tuning, deployment and enterprise integration; experience designing agentic AI architectures; hands-on Python and Visual Studio Code experience; and knowledge of AI governance and regulatory requirements.
- The job description states a minimum of 18 years of experience and requires 15 years of full-time education. Additional information separately lists a minimum of 8 years in Microsoft AI, 2 years in agentic AI architecture, 10+ years in Azure PaaS and 13+ years of total IT experience. The listing header states 12–14 years of experience.
- Good-to-have skills are Microsoft Azure Machine Learning, Microsoft Bot Framework and Azure OpenAI Service.
Skills for this role
Microsoft Agentic AI ArchitectureMicrosoft AI FoundrySemantic KernelAutoGenCopilot StudioAzure AI servicesLarge Language ModelsSmall Language ModelsPythonVisual Studio CodeMicrosoft Azure Machine LearningMicrosoft Bot FrameworkAzure OpenAI ServiceAzure PaaSMulti-agent systemsResponsible AIAI governanceModel fine-tuning