Key Responsibilities:
- Design and implement AI and ML solutions using Azure AI services, including Azure OpenAI, Azure AI Foundry, and Azure Machine Learning.
- Fine-tune and deploy LLMs (e.g., GPT-4o, GPT-3.5) for enterprise use cases using Azure infrastructure.
- Build AI-powered applications using Python frameworks such as FastAPI and Streamlit, Gradio.
- Develop and manage RAG pipelines and integrate them with enterprise data sources.
- Utilize Azure AI Foundry for model lifecycle management, experimentation, and deployment.
- Leverage Azure Functions and Logic Apps to orchestrate AI workflows and automate business processes.
- Integrate AI capabilities into Power Platform (Power Apps, Power Automate) for low-code/no-code solutions.
- Build conversational AI experiences using Microsoft Bot Framework and integrate with Microsoft Teams.
- Enable intelligent document processing and collaboration by integrating AI with SharePoint.
- Conduct prompt engineering and use orchestration tools like Semantic Kernel and function calling.
- Ensure scalability, security, and performance of AI solutions deployed on Azure.
- Collaborate with cross-functional teams to integrate AI capabilities into existing systems.
- Stay updated with the latest advancements in AI, NLP, and Azure technologies.
About Cognizant:
Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.
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