Design, build, and operate scalable AI platform capabilities on Azure and AKS Engineer capabilities for LLM applications RAG solutions AI agents multiagent workflows AI gateways guardrails and model evaluation. Develop reusable platform services APIs deployment templates and reference implementations. Build agent harness capabilities including orchestration tool integration memory context and state management policy enforcement tracing and exception handling.

Roles and Responsibilities

- Lead the design and deployment of enterprise AI platforms on Microsoft Azure with a focus on Azure AI and AKS.
- Develop and maintain scalable secure AI platform components supporting generative AI RAG and agentic AI solutions.
- Implement and manage AI guardrails to ensure content safety and compliance with responsible AI principles.




- Build and optimize pipelines for embeddings vector search and retrieval augmented generation.
- Drive automation of CICD pipelines infrastructure provisioning and security validation using GitHub Actions and Terraform.
- Ensure comprehensive observability and monitoring of AI workloads and platform infrastructure.
- Collaborate cross-functionally to define AI platform standards governance and operational best practices.
- Provide technical leadership in integrating AI models APIs and enterprise data sources securely and efficiently.
- Mentor engineering teams on AI platform usage deployment and operational excellence.
- Stay current with Azure AI advancements and incorporate relevant technologies to enhance platform capabilities

📌 Data Scientist (Bengaluru)
🏢 atsMantra
📍 Bengaluru