Description

• Design, build, and maintain deployment pipelines for Generative AI and LLM-based solutions used in contact center environments. • Manage AI model deployment, monitoring, versioning, and operational support to ensure reliable and scalable production systems. • Develop and maintain evaluation frameworks to measure the performance, quality, and accuracy of AI solutions powered by Claude, Gemini, and other LLMs. • Implement observability, logging, alerting, and performance monitoring for AI applications and services. • Support environment management, release processes, and CI/CD automation for AI and machine learning platforms. • Collaborate with AI engineers, developers, and contact center teams to ensure smooth deployment and operation of AI-powered solutions. • Troubleshoot production issues, optimize system performance, and ensure high availability of AI services. • Follow best practices for security, governance, compliance, and scalability across AI platforms and infrastructure. **Required Skills & Experience:** • Experience in MLOps, DevOps, AI platform engineering, or related roles. • Mandatory experience working with **Contact Center platforms and solutions**. • Experience supporting **Generative AI applications**, including **Claude, Gemini, and other Large Language Models (LLMs)**. • Strong programming skills in **Python** and **JavaScript**. • Experience with CI/CD pipelines, containerization, and cloud platforms (AWS, Azure, or GCP). • Knowledge of model monitoring, observability tools, logging, and performance management. • Familiarity with AI/ML deployment frameworks, APIs, and automation tools. • Strong problem-solving skills and experience working in Agile development environments

Key Skills

Education

Bachelor's degree