AES - DE - Generative AI Application Developers
Summary
Build and deploy generative AI applications using AI/ML frameworks and tools for an enterprise product team.
Required Skills
- Azure Machine Learning (Azure ML)
- Python
- Prompt Engineering
- Retrieval Augmented Generation (RAG)
- Vector Databases / Embeddings
- LangChain / LangGraph
- REST API Development
- Azure DevOps, Git, CI/CD
Experience: 7+ Years
Role Summary
Hands-on AI/ML engineer responsible for implementing approved business AI initiatives across the application portfolio using Azure AI technologies. The role will work closely with business stakeholders, regional leads, and application teams to convert AI use cases into production-ready solutions.
Key Responsibilities
• Design and implement business-focused AI solutions using Azure OpenAI and Azure AI Services.
• Build AI assistants, copilots, intelligent search, and workflow automation solutions.
• Develop and deploy RAG (Retrieval Augmented Generation) solutions leveraging enterprise data sources.
• Integrate AI capabilities into existing enterprise applications and business processes.
• Develop reusable AI accelerators that can be leveraged across applications and regions.
• Support AI advisory initiatives, including reporting, intelligence, and automation use cases.
• Drive AI use cases from concept, prototype, pilot, and production deployment.
AI/ML requirement with 8+ yrs experience