2 days ago
Hyderābād, IndiaStaff+
Responsibilities
- Design and implement enterprise Microsoft Azure AI Foundry solutions for generative AI and AI-powered applications.
- Architect AI platforms using Azure AI Foundry, Azure OpenAI Service, Azure Machine Learning, and Azure Cognitive Services.
- Develop and deploy generative AI solutions using large language models, prompt engineering, and AI agent frameworks.
- Design RAG solutions integrating enterprise data sources with AI applications.
- Build AI workflows using Azure AI Foundry tools, agents, models, and orchestration frameworks.
- Integrate AI solutions with enterprise applications, APIs, databases, and cloud services.
- Design secure AI architectures aligned with Azure security, governance, and compliance practices.
- Develop prompts, embeddings, vector search solutions, and knowledge retrieval pipelines.
- Implement intelligent information retrieval using Azure AI Search, vector databases, and enterprise data platforms.
- Manage AI model lifecycle activities including monitoring, evaluation, deployment, and performance optimization.
- Develop APIs and backend services to integrate AI capabilities into enterprise applications.
- Implement CI/CD pipelines and MLOps practices for AI development and deployment.
- Monitor AI application performance using Azure Monitor, Application Insights, and Azure Machine Learning tools.
- Provide technical leadership, architecture guidance, and mentoring to AI engineering teams.
Requirements
- Minimum 12 years of experience is required; additional information specifies a minimum of 14 years of experience with Microsoft Azure AI Foundry.
- 15 years of full-time education is required.
- Strong expertise designing, developing, deploying, and managing generative AI solutions with Microsoft Azure AI Foundry.
- Hands-on experience with Azure OpenAI Service, GPT models, large language models, and AI agents.
- Experience with prompt engineering, fine-tuning, model evaluation, AI application design, and RAG solutions.
- Strong knowledge of Azure AI Search, vector databases, embeddings, semantic search, and knowledge retrieval architectures.
- Experience with LangChain, Semantic Kernel, or equivalent AI orchestration frameworks.
- Experience with Azure Machine Learning, Azure Cognitive Services, Azure Document Intelligence, Azure Language Services, and Azure Vision Services.
- Experience integrating AI solutions with Azure Functions, Azure API Management, Azure Data Factory, Azure Databricks, Azure Storage, Azure SQL Database, and Azure Cosmos DB.
- Experience building AI-powered applications, chatbots, virtual assistants, and intelligent automation solutions.
- Knowledge of MLOps, AI model lifecycle management, cloud-native architecture, serverless computing, APIs, and microservices.
- Experience with CI/CD using Azure DevOps, GitHub Actions, Jenkins, and Git.
- Knowledge of Microsoft Entra ID, RBAC, Azure Key Vault, Managed Identity, encryption, data protection, responsible AI, governance, compliance, and risk management.
- Experience with enterprise data platforms, data integration solutions, and analytics environments.
- Strong analytical, troubleshooting, stakeholder management, communication, and technical leadership skills.
Benefits
- The position is based in the Accenture Hyderabad office.
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.