Description

Design, build, and maintain deployment pipelines for Generative AI and LLM-based solutions in contact center environments.

This role is on-site.

Responsibilities

• Manage AI model deployment, monitoring, versioning, and operational support for scalable production systems.
• Develop evaluation frameworks to measure performance, quality, and accuracy of AI solutions using 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.
• Troubleshoot production issues, optimize system performance, and ensure high availability while adhering to security and governance standards.

Required Skills

• 6+ years of experience in MLOps, DevOps, or AI platform engineering.
• 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.
• Experience working in Agile development environments.

Preferred Skills

• Bachelor's degree in Computer Science or related field.
• Experience with security, governance, and compliance in AI infrastructure.

Key Skills

Education

Bachelor's degree