Senior AI Engineer

About this role

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 environments

• Strong experience building ...