- Minimum 10+ years of overall IT experience, with strong experience in cloud engineering, DevOps, solution architecture, and enterprise application development.
- Strong hands-on experience with Microsoft Foundry (Azure AI Foundry), including designing, developing, deploying, and operationalizing enterprise-grade Generative AI solutions.
- Hands-on expertise with Microsoft Agent Framework and building agentic AI solutions, including multi-agent workflows, tool/API integration, orchestration, and enterprise use cases.
- Strong knowledge of Microsoft Azure cloud infrastructure, covering compute, networking, identity and access management, storage, security, and cloud-native application architecture.
- Solid understanding of LLMs, RAG, prompt engineering, embeddings, vector search, AI model integration, and evaluation/observability concepts.




- Strong DevOps / CI-CD experience using Azure DevOps and/or GitHub, with exposure to Infrastructure as Code, Docker, Kubernetes/AKS, automated deployments, monitoring, and release management.
- Experience designing and deploying secure, scalable, production-grade AI platforms, with emphasis on authentication, authorization, secrets management, logging, monitoring, reliability, and responsible AI practices.
- Ability to independently drive architecture, development, deployment, troubleshooting, and production support, while collaborating effectively with enterprise architecture, security, infrastructure, DevOps, and application teams.

📌 Agentic AI Engineer (Bengaluru)
🏢 Orcapod Consulting Services
📍 Bengaluru