Job Requirements
Act as an AI Engineer responsible for designing, developing, deploying and maintaining AI-agents that drive business value. The incumbent will leverage Generative AI, Large Language Models (LLMs), Agentic AI and Microsoft AI Foundry to build scalable, secure and production-ready AI solutions.
- The role will contribute towards Agentic AI journey of the organization by combining business process understanding with agent development using modern Microsoft AI technologies (e.g. Azure AI Foundry, Microsoft Fabric and Power BI).
- Participate in the complete Agentic Development Life Cycle (AIDLC), including requirement analysis, architecture design, development, testing, deployment, monitoring and continuous improvement.
- Design, develop, test, deploy and support enterprise-grade AI agents using Azure AI Foundry, Azure OpenAI, Python, Model Context Protocol (MCP)-based integrations, orchestration workflows, prompt engineering, tool integrations, memory management and exception handling.
- Develop Retrieval-Augmented Generation (RAG) solutions by integrating enterprise knowledge sources, vector databases and Large Language Models (LLMs).
- Implement AI solutions following security, governance, responsible AI, privacy and compliance standards.
- Collaborate with data engineering teams to ensure data quality, availability and readiness for AI model development and deployment.
- Monitor performance, accuracy, reliability and usage of deployed AI solutions and…
Skills
- LLMs
- Azure
- Generative AI
- Python
- Machine Learning