AI Architect

Primary

Skills:

Gen AI, GCP, Project Management, Data Modelling

As an AI Architect you will design and implement AI capabilities for a Contact Centre 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.

• Design and develop AI applications and infrastructure for the Contact Centre platform, collaborating with Cloud and Machine Learning engineers and the development team to ensure seamless integration.
• Stay current with the latest AI trends and technologies, especially Google GCP or Azure AI for Contact Centre.
• Create and maintain AI models and algorithms, conducting 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, ensuring compliance with data privacy regulations in AI applications. Monitor the performance of AI systems and make necessary adjustments.

• 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 modelling, and software architecture.
• Ability to work collaboratively with a diverse team of engineers and developers.
• Strong communication and project management skills.

• Data Science certifications.
• Experience in the Healthcare Payer enterprise.
• Familiarity with Contact Centre 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.