Senior AI Engineer

Overview:

Mandatory Skills

Google CCAI (Contact Center AI)

Google Vertex AI

RAG (Retrieval Augmented Generation)

AI/ML

Google GCP

MLOps

Healthcare Payer

Cloud AI Platform

Summary

As an AI engineer, you will be in charge of designing and implementing AI capabilities for a Contact Center platform in a Healthcare Payer enterprise. You will work closely with Cloud and Machine Learning engineers, as well as the CRM development team to ensure the proper integration of AI technologies into the platform. You will be responsible for the strategy, design, implementation, and maintenance of AI solutions.

This role requires a highly skilled professional with a deep understanding of AI technologies and the ability to collaborate effectively with a diverse team. The ideal candidate will have a strong background in data science and a proven track record in the industry.

Responsibilities

• Design and develop AI applications and infrastructure for the Contact Center platform.
• Collaborate with Cloud and Machine Learning engineers, as well as the development team to ensure seamless integration of AI technologies.
• Stay current with the latest AI trends and technologies, especially Google GCP or Azure AI for Contact Center
• Create and maintain AI models and algorithms.
• Conduct AI research to improve existing systems and develop new technologies.
• Identify opportunities for AI solutions within the organization and propose strategic plans.
• Train team members and stakeholders on AI and its applications.
• Ensure compliance with data privacy regulations in AI applications.
• Monitor the performance of AI systems and make necessary adjustments.
• Experience in agentic architecture-based implementations and advanced Retrieval Augmented Generation.