We are seeking a highly skilled Senior Agentic AI Engineer to design, develop, and deploy production-grade agentic AI systems on Azure cloud infrastructure. The ideal candidate will have extensive experience building autonomous AI agents, deploying complex AI solutions to production, and implementing robust CI/CD pipelines.
Key Responsibilities
Design and develop sophisticated agentic AI systems capable of autonomous decision-making and task execution
Architect and implement production-grade AI solutions using Azure services (Azure Functions, Azure OpenAI, Azure Cognitive Services, etc.)
Build and maintain CI/CD pipelines using Azure DevOps and/or GitHub Actions for automated testing and deployment
Develop scalable data processing workflows using Azure Databricks and Apache Spark
Implement comprehensive testing strategies for AI applications including unit tests, integration tests, and performance testing
Optimize AI agent performance, reliability, and cost-efficiency in production environments
Design and implement monitoring, logging,



and observability solutions for AI systems
Mentor junior engineers and lead technical discussions on AI architecture and best practices
Collaborate with cross-functional teams to integrate AI agents into existing systems
Implement security best practices including managed identities, Key Vault integration, and RBAC
Required Skills & Qualifications
Technical Expertise:
5 to 8 years of experience in AI/ML engineering with at least 2+ years focused on agentic AI or autonomous systems
Expert-level proficiency in Python and advanced knowledge of SQL
Deep understanding of Azure cloud services (Azure Functions, Azure OpenAI, Azure ML, App Services, Storage, Key Vault)
Extensive hands-on experience with Azure Databricks for large-scale data processing and ML workflows
Proven track record of deploying and maintaining AI systems in production settings
Robust experience building CI/CD pipelines using Azure Dev

📌 Senior Ai Engineer Bengaluru
🏢 Ecolab
📍 Bengaluru