Data and AI Architect

About the Role

Eram Talent is seeking a Data and AI Architect to lead the development of enterprise data architecture and integrate AI and MLOps capabilities. This full-time position is designed for professionals with 0-1 years of experience, focusing on enabling trusted analytics, scalable AI solutions, and robust data architecture and governance practices across the organization.

Role Overview

The Data and AI Architect will be responsible for advancing the organization's data infrastructure by incorporating cutting-edge AI and MLOps methodologies. This role is central to ensuring the effective and secure utilization of enterprise data for analytical insights and the deployment of scalable AI solutions.

Key Responsibilities

• Lead the development and evolution of the enterprise data architecture, integrating AI and MLOps capabilities.
• Design scalable and robust data architectures to support analytics, AI, and business requirements.
• Enable the trusted and effective use of enterprise data for analytics and AI solutions.
• Establish and maintain data architecture and governance practices across the organization.
• Support the scalable deployment and integration of AI solutions within the enterprise.
• Collaborate with business, technology, data, and AI teams to align architecture with organizational objectives.

Experience and Work Type

This role requires 0-1 years of experience in a relevant field. The position is full-time, emphasizing dedicated engagement in developing and managing data and AI architectures.

Collaboration and Impact

The Data and AI Architect will work closely with various teams, including business, technology, data, and AI, to ensure that architectural designs are aligned with strategic organizational objectives. This collaborative approach is critical for fostering an environment where data is leveraged effectively and AI solutions are seamlessly integrated.

Application Process

Interested candidates are encouraged to apply. Salary details will be discussed during the interview process.