AI Operations Engineer

Role Overview: As an AI Ops Engineer with 4+ years of experience, your primary responsibility will be to design, deploy, operate, and optimize enterprise-grade AI-powered applications and intelligent agents on Azure. You will support business workflows and customer interactions at scale by operationalizing AI/ML models and LLM-powered applications in production environments. This hands-on engineering role will require you to work closely with engineering, product, and CX teams to ensure operational excellence and efficiency in AI systems running on Azure services. Key Responsibilities: - Design, deploy, operate, and optimize AI-powered applications and intelligent agents on Azure - Operationalize AI/ML models and LLM-powered applications by managing deployment pipelines - Monitor performance, ensure reliability, and maintain scalability in production environments - Leverage Azure services such as Azure OpenAI, Azure Machine Learning, Cognitive Services, Kubernetes, and DevOps pipelines - Continuously monitor model performance, improve latency and accuracy, and ensure governance, security, and system stability Qualifications Required: - 4+ years of hands-on software engineering, cloud, or platform engineering experience - Strong experience operationalizing AI/ML or GenAI applications in production environments - Proven expertise with Microsoft Azure cloud platform, especially AI/ML services - Experience with CI/CD pipelines, infrastructure automation, and cloud deployments - Strong troubleshooting, monitoring, and production reliability experience - Ability to independently manage AI deployments end-to-end - Degree in Computer Science, Engineering, Data Science, or equivalent practical experience Additional Company Details: N/A Role Overview: As an AI Ops Engineer with 4+ years of experience, your primary responsibility will be to design, deploy, operate, and optimize enterprise-grade AI-powered applications and intelligent agents on Azure. You will support business workflows and customer interactions at scale by operationalizing AI/ML models and LLM-powered applications in production environments. This hands-on engineering role will require you to work closely with engineering, product, and CX teams to ensure operational excellence and efficiency in AI systems running on Azure services. Key Responsibilities: - Design, deploy, operate, and optimize AI-powered applications and intelligent agents on Azure - Operationalize AI/ML models and LLM-powered applications by managing deployment pipelines - Monitor performance, ensure reliability, and maintain scalability in production environments - Leverage Azure services such as Azure OpenAI, Azure Machine Learning, Cognitive Services, Kubernetes, and DevOps pipelines - Continuously monitor model performance, improve latency and accuracy, and ensure governance, security, and system stability Qualifications Required: - 4+ years of hands-on software engineering, cloud, or platform engineering experience - Strong experience operationalizing AI/ML or GenAI applications in production environments - Proven expertise with Microsoft Azure cloud platform, especially AI/ML services - Experience with CI/CD pipelines, infrastructure automation, and cloud deployments - Strong troubleshooting, monitoring, and production reliability experience - Ability to independently manage AI deployments end-to-end - Degree in Computer Science, Engineering, Data Science, or equivalent practical experience Additional Company Details: N/A