AI Architect

About the role

You will design and implement AI capabilities for a Contact Center platform in a Healthcare Payer enterprise. Working closely with Cloud and Machine Learning engineers, as well as the CRM development team, you will ensure the proper integration of AI technologies into the platform. This role requires ownership of the strategy, design, implementation, and maintenance of AI solutions.

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.

Requirements

• 4-year bachelor’s degree in Computer Science, Information Technology, Computer Engineering from a recognized university or equivalent experience with a specialization in Data Science.
• Proven experience as an AI Architect or similar role in the industry.
• Strong knowledge of AI technologies, specifically Google GCP or Azure AI.
• Understanding of data structures, data modeling, and software architecture.
• Ability to work collaboratively with a diverse team of engineers and developers.
• Strong communication and project management skills.

Nice to Have

• Data Science certifications.
• Experience in the Healthcare Payer enterprise.
• Familiarity with Contact Center platforms.
• Knowledge of data privacy regulations and practices.
• Ability to conduct research and stay current with the latest AI trends and technologies.
• Experience in training team members on AI technologies and applications.
• Strong problem-solving skills and the ability to think strategically.