Job highlights

- Role Overview . AI Platform Engineers with 4+ years of experience in building,optimizing,and deploying AI-driven solutions leveraging Azure Copilot,Microsoft Fabric,and AWS Bedrock
- You should have worked in a complex ecosystem like AI-COE or similar requiring you to collaborate with cross-functional teams to productionize GenAI workloads
- Required Skills . .

Role Overview AI Platform Engineers with 4+ years of experience in building, optimizing, and deploying AI-driven solutions leveraging Azure Copilot, Microsoft Fabric, and AWS Bedrock. You should have worked in a complex ecosystem like AI-COE or similar requiring you to collaborate with cross-functional teams to productionize GenAI workloads.

Responsibilities





- Design and implement AI platform components using Azure Copilot and AWS Bedrock services.
- Build scalable AI pipelines, model orchestration layers, and prompt engineering frameworks.
- Deploy and optimize LLM-based solutions for enterprise use cases.
- Implement monitoring, observability, and performance tuning for AI workloads.
- Work closely with security and governance teams to ensure compliance.

Required Skills
- Hands on experience with Azure OpenAI / Copilot, Bedrock Models.
- Robust Python/Node.js skills.
- Experience with vector databases, embeddings, and RAG pipelines.
- Knowledge of cloud-native principles (Docker, Kubernetes).

📌 AI Platform Engineer Azure Copilot / AWS Bedrock (Madurai)
🏢 Infiligence
📍 Madurai