AI Engineer
cornerstone
Job Description
- Lead the development of enterprise AI solutions using Azure OpenAI, Azure AI Studio, Azure Machine Learning, and Azure Cognitive Services.
- Design and implement Microsoft Copilot solutions, including Copilot for Microsoft 365, custom copilots using Copilot Studio, and plugin development.
- Build advanced Gen AI applications using prompt engineering, RAG (Retrieval-Augmented Generation) patterns, fine-tuning, and multi-agent systems.
- Develop intelligent workflows using Azure Agentic AI and Semantic Kernel to automate complex business processes.
- Integrate AI capabilities with Microsoft 365, SharePoint, Teams, Power Platform, and third-party enterprise applications.
- Implement Azure AI Document Intelligence solutions for automated document processing and data extraction.
- Build and optimize vector databases and semantic search using Azure AI Search for knowledge management systems.
- Establish MLOps practices using Azure Machine Learning and Azure DevOps for automated model deployment and monitoring.
- Design and develop scalable APIs and microservices for AI model deployment and integration.
- Create data pipelines to support AI model training and real-time inference.
- Define AI solution standards, best practices, and governance frameworks including security and compliance.
- Mentor AI engineers and developers, providing technical guidance and code reviews.
Lead proof-of-concept projects to evaluate new AI technologies and their business value. - Collaborate with architects, data scientists, and stakeholders to define AI roadmaps and technical strategies.
- Stay current with AI technologies and Azure AI service updates to drive continuous improvement.